First-person data have been both condemned and hailed because of their alleged privacy. Critics argue that science must be based on public evidence: since first-person data are private, they should be banned from science. Apologists reply that first-person data are necessary for understanding the mind: since first-person data are private, scientists must be allowed to use private evidence. I argue that both views rest on a false premise. In (...) psychology and neuroscience, the subjects issuing first-person reports and other sources of first-person data play the epistemic role of a (self-) measuring instrument. Data from measuring instruments are public and can be validated by public methods. Therefore, first-person data are as public as other scientific data: their use in science is legitimate, in accordance with standard scientific methodology. (shrink)

In Describing Inner Experience, Hurlburt and Schwitzgebel explore the proper limits of scepticism about consciousness and the prospect of a scientific investigation of consciousness. Their debate with each other focuses on the question about whether we can trust people's reports about their inner experiences and on Hurlburt's introspective method, DES. I point out that their discussion leaves unclear the crucial question of the aims and objectives of DES. This makes it difficult genuinely to assess DES's merits and the problems for (...) theorizing that might be created by inaccuracy in the introspective data. I then provide a taxonomy of different introspective methods, depending on different roles played by introspective data and on the kinds of questions that are being asked. I suggest that introspective methods tasked to answer a certain group of questions -- certain philosophical questions about experience -- are more vulnerable to the possibility of introspective error than others. (shrink)

Context: The use of first-person micro-phenomenological interviews and their productive interaction with third-person physiological data is a challenging and pressing issue in order to offer an effective and fruitful application of Varela’s neurophenomenological hypothesis. Problem: We aim at offering a generative method of analysis of first-person micro-phenomenological interviews using third-person physiological data. Our challenge is to describe this generative first-person analysis with the third-person physiological framework rather than put Varela’s (...) hypothesis into practice in a generative way (as we did in another paper. Method: The present contribution is a first pioneering study as far as the exposition of such an interactive generative methodology is concerned. It is also a new issue insofar as it deals with a case study, surprise in depression, that has not been thoroughly dealt with so far, either in philosophy or in psychopathology. Results: We show that the analysis of first-person data is an intrinsic generative one, insofar as new refined categories and multifarious circular micro- and macro-processes were discovered in the very process of analyzing. They provide the initial structural generic third-person description of surprise inherited both from philosophical phenomenological a priori categories and from the experimental startle setting with a refined micro-segmentation of the dynamic of the experience. Implications: Our article could be of interest to neurophenomenologists looking for an effective application and to researchers in quest of a method of analysis of first-person data. The present limitations are due to the still preliminary data-results we need to complete. Constructivist content: The article is directly linked to Varela’s neurophenomenological program and aims at extending and reforming it with a cardio-phenomenological approach. Keywords: First-person micro-phenomenological interviews, surprise, generative analysis of first-person data, depression, cardio-phenomenology, generative categories. (shrink)

Heterophenomenology is a third-person methodology proposed by Daniel Dennett for using first-person reports as scientific evidence. I argue that heterophenomenology can be improved by making six changes: (i) setting aside consciousness, (ii) including other sources of first-person data besides first-person reports, (iii) abandoning agnosticism as to the truth value of the reports in favor of the most plausible assumptions we can make about what can be learned from the data, (iv) interpreting (...) first-person reports (and other first-person behaviors) directly in terms of target mental states rather than in terms of beliefs about them, (v) dropping any residual commitment to incorrigibility of first-person reports, and (vi) recognizing that thirdperson methodology does have positive effects on scientific practices. When these changes are made, heterophenomenology turns into the self-measurement methodology of firstperson data that I have defended in previous papers. (shrink)

Laboratoire de Neurosciences Cognitives et Imagerie Ce´re´brale (LENA), Hoˆpital de La Salpeˆtrie`re, Centre National de la Recherche Scientifique (CNRS).

This paper argues that whereas philosophical discussions of first-person methods often turn on the veridicality of first-person reports, more attention should be paid to the experimental circumstances under which the reports are generated, and to the purposes of designing such experiments. After pointing to the ‘constructedness’ of first-person reports in the science of perception, I raise questions about the criteria by which to judge whether the reports illuminate something about the nature of perception. I (...) illustrate this point with a historical debate between Gestalt psychologist and atomists, both of whom used first-person methods to investigate perception. (shrink)

En sciences sociales, les scientifiques utilisent les rapports des sujets sur leurs propres états mentaux dans leurs démarches expérimentales. Ainsi, l’introspection, ou la capacité des sujets à former des croyances sur leurs propres états mentaux, y joue un rôle important. Selon les tenants de l’introspectionnisme, l’introspection est une méthode, certes privée, mais qui permet de justifier directement des hypothèses scientifiques. Ainsi, contrairement aux méthodes utilisées dans les sciences de la nature qui se fondent uniquement sur des données publiques, les sciences (...) sociales utiliseraient des données subjectives pour justifier leurs hypothèses. Contre l’introspectionnisme, nous défendons que l’introspection n’est pas utilisée pour justifier directement les hypothèses, mais que sa place est plutôt similaire à celle d’un instrument de mesure des états et processus mentaux des sujets, susceptible d’être calibré, à la façon dont les instruments de mesure utilisés dans les sciences... (shrink)

Phenomenology has been adapted for use in qualitative health research, where it’s often used as a method for conducting interviews and analyzing interview data. But how can phenomenologists study subjects who cannot accurately reflect upon or report their own experiences, for instance, because of a psychiatric or neurological disorder? For conditions like these, qualitative researchers may gain more insight by conducting observational studies in lieu of, or in conjunction with, interviews. In this article, we introduce a phenomenological approach to (...) conducting this kind of observational research. The approach relies on conceptual grounding to focus a study on specific aspects of the participants’ experiences. Moreover, the approach maintains the openness to novel discoveries that qualitative research requires while also providing a structured framework for data collection and analysis. To illustrate its practical application, we use examples of hemispatial neglect—a neurologic disorder in which patients characteristically lack awareness of their own illness and bodily capacities. However, the approach that we describe can be applied more broadly to the study of complex illness experiences and other experiential alterations. (shrink)

As I see it, the science of consciousness is all about relating _third-person data_ - about brain processes, behavior, environmental interaction, and the like - to _first-person data_ about conscious experience. I take it for granted that there are first-person data. It's a manifest fact about our minds that there is something it is like to be us - that we have subjective experiences - and that these subjective experiences are quite different at different times. (...) Our direct knowledge of subjective experiences stems from our first-person access to them. And subjective experiences are arguably the central data that we want a science of consciousness to explain. (shrink)

This paper develops a view of the content of perceptual states that reflects the cognitive significance those states have for the subject. Perhaps the most important datum for such a theory is the intuition that experiences are ‘transparent’, an intuition promoted by philosophers as diverse as Sartre and Dretske. This paper distinguishes several different transparency theses, and considers which ones are truly supported by the phenomenological data. It is argued that the only thesis supported by the data is (...) much weaker than those typically considered in the literature, and has no obvious implications for the existence of sensory intermediaries. It does, however, have implications for the content of perceptual experience. It is argued that combining the first personal project with the transparency intuition yields an error theory of perception. The counterintuitive implications of this error theory are mitigated, however, by an account of perceptual beliefs which allows for them to be true even if the perceptual states are non-veridical. (shrink)

The traditional account of first-person thought draws conclusions about this type of thinking from claims made about the first-person pronoun. In this paper I raise a worry for the traditional account. Certain uses of 'I' conflict with its conception of the linguistic data. I argue that once the data is analysed correctly, the traditional approach to first-person thought cannot be maintained.

Though the brain and its neuronal states have been investigated extensively, the neural correlates of mental states remain to be determined. Since mental states are experienced in first-person perspective and neuronal states are observed in third-person perspective, a special method must be developed for linking both states and their respective perspectives. We suggest that such method is provided by First-Person Neuroscience. What is First-Person Neuroscience? We define First-Person Neuroscience as investigation of (...) neuronal states under guidance of and on orientation to mental states. An empirical example of such methodological approach is demonstrated by an fMRI study on emotions. It is shown that third- and first-person analysis of data yield different results. First-person analysis reveals neural activity in cortical midline structures during subjective emotional experience. Based on these and other results neural processing in cortical midline structures is hypothesized to be crucially involved in generating mental states. Such direct linkage between first- and third-person approaches to analysis of neural data allows insight into the "point of view from within the brain", that is what we call the First-Brain Perspective. In conclusion, First-Person Neuroscience and First-Brain Perspective provide valuable methodological tools for revealing the neuronal correlate of mental states. (shrink)

Open peer commentary on the article “A First-Person Analysis Using Third Person-Data as a Generative Method: A Case Study of Surprise in Depression” by Natalie Depraz, Maria Gyemant & Thomas Desmidt. Upshot: I present a critical review of Depraz et al.’s target article and its promise to provide a novel “generative method” of analyzing first-person micro-phenomenological interviews using third-person physiological data. I argue that although indeed promising, the generative method may still be (...) haunted by the issues pertaining to the other phenomenological methods, like experimenter and respondent biases, and the problem with mistaking first-person with second-person data. In the end, I analyze the category of surprise and the way it was extracted from the data. The Philosopher’s Stone. (shrink)

This paper focuses on the self-knowledge of emotions. I first argue that several of the leading theories of self-knowledge, including thetransparency method(see, e.g., Byrne 2018) andneo-expressivism(see, e.g., Bar-On 2004), have difficulties explaining how we authoritatively know our own emotions (even though they may plausibly account for sensation, belief, intention, and desire). I next consider Barrett’s (2017a) empirically informedtheory of constructed emotion. While I agree with her that we ‘give meaning to [our] present sensations’ (2017a, p.26), I disagree with her (...) that we construct our emotions, as this has some unwelcome implications. I then draw upon recent data from the science of emotions literature to advance a view I call partial first-person authority. According to this view, first-person authority with respect to our emotions is only partial: we can introspect and authoritatively know our own sensations, and beliefs, in ways others cannot; but we still need to interpret those sensations and beliefs, to know our emotions. Finally, I consider self-interpretational accounts of self-knowledge by Carruthers (2011) and Cassam (2014). I argue that while these accounts are implausible when applied to beliefs, desires, and intentions, they are more plausible when applied to our emotions. (shrink)

Each of us enjoys a special awareness of (some) of her mental states. The adverbial model of first-person awareness claims that to be aware of a mental state is for it to be conscious, where ‘conscious’ describes the kind of state it is, rather than denoting a form of awareness directed at it. Here, I present an argument for construing first-person awareness of intentions adverbially, by showing that this model can meet a serious challenge posed by (...) the simulation hypothesis, which draws on data about schizophrenia. (shrink)

The first-person perspective is a challenge to naturalism. Naturalistic theories are relentlessly third-personal. The first-person perspective is, well, first-personal; it is the perspective from which one thinks of oneself as oneself* without the aid of any third-person name, description, demonstrative or other referential device. The exercise of the capacity to think of oneself in this first-personal way is the necessary condition of all our self-knowledge, indeed of all our self-consciousness. As important as the (...) first-person perspective is, many philosophers have not appreciated the force of the data from the first-person perspective, and suppose that the first-person perspective presents no particular problems for the naturalizing philosopher. For example, Ned Block commented, “It is of course [phenomenal] consciousness rather than...self-consciousness that has seemed such a scientific mystery.” And David Chalmers says that self-consciousness is one of those psychological states that “pose no deep metaphysical enigmas.”. (shrink)

In this paper, I will argue that two kinds of first-person-oriented content are distinguished in more ways than usually thought and I propose an account that will shed new light on the distinction. The first kind consists of contents of attitudes de se (in a broad sense); the second kind consists of contents that give rise to intuitions of relative truth. I will present new data concerning the two kinds of first-person-oriented content, together with (...) a novel account of propositional content in general, namely based on the notion of an attitudinal object. That notion solves two major problems with Lewis's account of contents of attitudes de se and clarifies the difference between contents of attitudes de se and contents that give rise to intuitions of relative truth. I will propose an analysis of contents of the second kind in terms of what I call firstperson-based genericity, a form of genericity most explicitly expressed by sentences with generic one. I show how the overall account explains the particular semantic properties of sentences giving rise to intuitions of relative truth that distinguish them from sentences with expressions interpreted de se. I will start by introducing Lewis's account of attitudes de se and the problems that go along with that account. Introducing the notion of an attitudinal object, I will extend the account by an account of the truth conditions of the content of attitudes de se. I then discuss the second kind of first-person-oriented content, which is associated with intuitions of relative truth, and give an account of such contents on the basis of an analysis of generic one. Again making use of attitudinal objects, I will make clear what exactly distinguishes those contents from first-person-oriented contents of the first sort. (shrink)

Since the 1970s and more rigorously since the 1990s, many countries have regulated data protection and privacy laws in order to ensure the safety and privacy of personal data. First, a comparison is made of different acts regarding genetic information that are in force in the EU, the USA, and China. In Turkey, changes were adopted only recently following intense debates. This study aims to explore the experts’ opinions on the regulations of the health information systems, (...) class='Hi'>data security, privacy, and confidentiality in Turkey, with a particular focus on genetic data, which is more sensitive than other health data as it is a permanent identifier that is inherited to next of kin and shared with other family members. Two focus groups with 18 experts and stakeholders were conducted, discussing topics such as central data collection, legalized data sharing, and the management of genetic information in health information systems. The article concludes that the new Turkish personal data protection law is problematic as the frame of collectible data is wide-ranging, and the exceptions are extensive. Specific laws or articles dedicated to genetic data that also overlook the dimension of discrimination based on genetic differences in Turkey should be taken into consideration. In broader terms, it is intended to put up for discussion that in addition to ethical aspects, economic aspects and legal aspects of health should be included in the discussion to be carried out within the framework of socio-political analyses with culture-specific approaches and cross-culture boundaries simultaneously. (shrink)

A number of recent publications have argued that a scientific approach to consciousness needs a rigorous approach to first-person data collection. As mainstream experimental psychology has long abandoned such introspective or phenomenological method, there is at present no generally agreed upon method for first-person data collection in experimental consciousness studies. There are, however, a number of recent articles that all claim to provide a unique contribution to such a methodology. This article reviews these suggestions (...) and extracts their core features. It is argued that the suggested methods are generally overlapping and compatible, and a number of concrete methods that easily are applied to experimental studies are put forward. (shrink)

Open peer commentary on the article “A First-Person Analysis Using Third Person-Data as a Generative Method: A Case Study of Surprise in Depression” by Natalie Depraz, Maria Gyemant & Thomas Desmidt. Upshot: Supplementing physiological measures with first-person data involves several benefits and challenges. The collection and analysis of the two types of data might not be optimal within the same procedural framework. Therefore, the synthesis of the two remains problematic.

Open peer commentary on the article “A First-Person Analysis Using Third Person-Data as a Generative Method: A Case Study of Surprise in Depression” by Natalie Depraz, Maria Gyemant & Thomas Desmidt. Upshot: In my commentary, I try to examine whether, and how, the approach presented by Depraz, Gyemant & Desmidt lines up with Varela’s neurophenomenology. I focus on the neural and phenomenological dimensions, respectively, arguing that the end result is somewhat of a mixed bag: if it (...) paves the way for a fruitful expansion of the neuro-aspect, it seems to cast a dubious, perhaps even distortive, shadow on the phenomenological aspect. (shrink)

This paper undertakes a comparative legal study to analyze the challenges of privacy and personal data protection posed by Artificial Intelligence embedded in Robots, and to offer policy suggestions. After identifying the benefits from various AI usages and the risks posed by AI-related technologies, I then analyze legal frameworks and relevant discussions in the EU, USA, Canada, and Japan, and further consider the efforts of Privacy by Design originating in Ontario, Canada. While various AI usages provide great convenience, many (...) issues, including profiling, discriminatory decisions, lack of transparency, and impeding consent, have emerged. The unpredictability arising from the AI machine learning function poses further difficulties, which have only been partially addressed by legal frameworks in the aforementioned jurisdictions. However, analyzing the relevant discussions yielded several suggestions. The first priority is adopting PbD as the most flexible, soft-legal, and preferable approach toward AI-oriented issues. Implementing PbD will protect individual privacy and personal data without specific efforts, and achieve both the development of AI and the advancement of privacy and personal data protection. Technical measures that can adapt to an individual’s dynamic choices according to the “context” should be further developed. Furthermore, alternative technical measures, including those to solve the “algorithmic black box” or achieve differential privacy, warrant thorough examination. If AI surpasses human intelligence, a terminating function, such as a “kill switch” will be the last resort to preserve individual choice. Despite numerous difficulties, we must prepare for the coming AI-prevalent society by taking a flexible approach. (shrink)

Before one can even begin to model consciousness and what exactly it means that it is a subjective phenomenon one needs a theory about what a first-person perspective really is. This theory has to be conceptually convincing, empirically plausible and, most of all, open to new developments. The chosen conceptual framework must be able to accommodate scientific progress. Its ba- sic assumptions have to be plastic as it were, so that new details and empirical data can continuously (...) be fed into the theoretical model as it grows and becomes more refined. This paper makes an attempt at sketching the outlines of such a theory, offering a representationalist analysis of the phenomenal first-person perspective. Three phenomenal target properties are centrally relevant. (shrink)

Patients suffering from schizophrenia have an impaired meta-representation also known as Theory of Mind . Moreover, the presence of delusions or other positive symptoms of schizophrenia has been correlated to poor ToM performances. Lack of insight is a common symptom of schizophrenia and can be considered a critical manifestation of impaired ToM abilities. In particular, the present study addresses the role of perspective ToM ability in schizophrenic patients. Thirty severely delusional schizophrenic patients completely lack insight when interviewed about their delusions. (...) Seven subsequently gain insight about their mental state when perspective is shifted from the first person to third person. These data suggest that in some delusional schizophrenic patients, it may be possible to gain access to and modify their mental states. (shrink)

This dissertation is about the nature of perspectival thoughts and the context-sensitivity of the language used to express them. It focuses on two kinds of perspectival thoughts: ‘subjective’ evaluative thoughts about matters of personal taste, such as 'Beetroot is delicious' or 'Skydiving is fun', and first-personal or de se thoughts about oneself, such as 'I am hungry' or 'I have been fooled.' The dissertation defends of a novel form of relativism about truth - the idea that the truth of (...) some perspectival thought and talk is relative to the perspective of an evaluating subject or group. In Part I, I argue that the realm of ‘subjective’ evaluative thought and talk whose truth is perspective-relative includes attributions of knowledge of the form ’S knows that p.’ Following a brief introduction, chapter 2 presents a new, error-theoretic objection against relativism about knowledge attributions. The case for relativism regarding knowledge attributions rests on the claim that relativism is the only view that explains all of the empirical data from speakers' use of the word "know" without recourse to an error theory. In chapter 2, I show that the relativist can only account for sceptical paradoxes and ordinary epistemic closure puzzles if she attributes a problematic form of semantic blindness to speakers. However, in 3 I show that all major competitor theories - forms of invariantism and contextualism - are subject to equally serious error-theoretic objections. This raises the following fundamental question for empirical theorising about the meaning of natural language expressions: If error attributions are ubiquitous, by which criteria do we evaluate and compare the force of error-theoretic objections and the plausibility of error attributions? I provide a number of criteria and argue that they give us reason to think that relativism's error attributions are more plausible than those of its competitors. In Part II, I develop a novel unified account of the content and communication of perspectival thoughts. Many relativists regarding ‘subjective’ thoughts and Lewisians about de se thoughts endorse a view of belief as self-location. In chapter 4, I argue that the self-location view of belief is in conflict with the received picture of linguistic communication, which understands communication as the transmission of information from speaker's head to hearer's head. I argue that understanding mental content and speech act content in terms of sequenced worlds allows a reconciliation of these views. On the view I advocate, content is modelled as a set of sequenced worlds - possible worlds ‘centred’ on a group of individuals inhabiting the world at some time. Intuitively, a sequenced world is a way a group of people may be. I develop a Stalnakerian model of communication based on sequenced worlds content, and I provide a suitable semantics for personal pronouns and predicates of personal taste. In chapter 5, I show that one of the advantages of this model is its compatibility with both nonindexical contextualism and truth relativism about taste. I argue in chapters 5 and 6 that the empirical data from eavesdropping, retraction, and disagreement cases supports a relativist completion of the model, and I show in detail how to account for these phenomena on the sequenced worlds view. (shrink)

Recent decades have seen a development of a variety of approaches for examining lived experience in the context of cognitive science. However, the field of first-person research has yet to develop a pragmatic epistemological framework that would enable researchers to compare and integrate – as well as understand the epistemic status of – different methods and their findings. In this article, we present the foundation of such a framework, grounded in an epistemological investigation of gestures involved in acquiring (...) data on experience. We examine the acts of turning towards one’s experiential field and attending to experience within the process of reflection. We describe what we call the _horizon of attending to experience_ by analogy to the “experimental arrangement” in quantum observation: this horizon, we argue, co-defines experiential phenomena that end up being observed and reported; at the same time, it itself forms an element of experience and is therefore amenable to phenomenological investigation. Drawing on the constructivist notion of enaction, we show that acknowledging the inherently constructive nature of attending to experience and accepting one’s lack of epistemic access to the “original”, observation-independent pre-reflective experience is not a dead end for first-person research when situated in a constructivist (but not relativist) understanding of the reflective act and its results. Expanding the notion of the horizon to encompass all epistemic acts involved in producing phenomenological data and final results of a first-person study (i.e., _horizon of the method_), we suggest some lines of inquiry that would allow researchers to identify and articulate horizons of particular methods, opening a way towards integrating past and future findings of different complementary first-person approaches into a comprehensive map of lived experience. (shrink)

Recent decades have seen a development of a variety of approaches for examining lived experience in the context of cognitive science. However, the field of first-person research has yet to develop a pragmatic epistemological framework that would enable researchers to compare and integrate – as well as understand the epistemic status of – different methods and their findings. In this article, we present the foundation of such a framework, grounded in an epistemological investigation of gestures involved in acquiring (...) data on experience. We examine the acts of turning towards one’s experiential field and attending to experience within the process of reflection. We describe what we call the horizon of attending to experience by analogy to the “experimental arrangement” in quantum observation: this horizon, we argue, co-defines experiential phenomena that end up being observed and reported; at the same time, it itself forms an element of experience and is therefore amenable to phenomenological investigation. Drawing on the constructivist notion of enaction, we show that acknowledging the inherently constructive nature of attending to experience and accepting one’s lack of epistemic access to the “original”, observation-independent pre-reflective experience is not a dead end for first-person research when situated in a constructivist (but not relativist) understanding of the reflective act and its results. Expanding the notion of the horizon to encompass all epistemic acts involved in producing phenomenological data and final results of a first-person study (i.e., horizon of the method), we suggest some lines of inquiry that would allow researchers to identify and articulate horizons of particular methods, opening a way towards integrating past and future findings of different complementary first-person approaches into a comprehensive map of lived experience. (shrink)

The paper has three parts. First, a survey and analysis is given ofthe structure of individual rights in the recent EU Directive ondata protection. It is argued that at the core of this structure isan unexplicated notion of what the data subject can `reasonablyexpect' concerning the further processing of information about himor herself. In the second part of the paper it is argued thattheories of privacy popular among philosophers are not able to shed much light on the issues (...) treated in the Directive, whichare, arguably, among the central problems pertaining to theprotection of individual rights in the information society. Inthe third part of the paper, some suggestions are made for a richerphilosophical theory of data protection and privacy. It is arguedthat this account is better suited to the task of characterizingthe central issues raised by the Directive. (shrink)

: Addressing the methodological issues raised by the commentators, I argue that the disagreement among them regarding the optimal method to gather phenomenal data (micro-phenomenology or ….

The aim of this article is to assess the impact of Big Data technologies for insurance ratemaking, with a special focus on motor products.The first part shows how statistics and insurance mechanisms adopted the same aggregate viewpoint. It made visible regularities that were invisible at the individual level, further supporting the classificatory approach of insurance and the assumption that all members of a class are identical risks. The second part focuses on the reversal of perspective currently occurring in (...) data analysis with predictive analytics, and how this conceptually contradicts the collective basis of insurance. The tremendous volume of data and the personalization promise through accurate individual prediction indeed deeply shakes the homogeneity hypothesis behind pooling. The third part attempts to assess the extent of this shift in motor insurance. Onboard devices that collect continuous driving behavioural data could import this new paradigm into these products. An examination of the current state of research on models with telematics data shows however that the epistemological leap, for now, has not happened. (shrink)

With the increase in the costs of providing education and concerns about financial responsibility, heightened consideration of accountability and results, elevated awareness of the range of teacher skills and student learning styles and needs, more focus is being placed on the promises offered by online software and educational technology. One of the most heavily marketed, exciting and controversial applications of edtech involves the varied educational programs to which different students are exposed based on how big data applications have evaluated (...) their likely learning profiles. Characterized most often as ‘personalized learning,’ these programs raise a number of ethical concerns especially when used at the K-12 level. This paper analyzes the range of these ethical concerns arguing that characterizing them under the general rubric of ‘privacy’ oversimplifies the concerns and makes it too easy for advocates to dismiss or minimize them. Six distinct ethical concerns are identified: information privacy; anonymity; surveillance; autonomy; non-discrimination; and ownership of information. Particular attention is paid to whether personalized learning programs raise concerns similar to those raised about educational tracking in the 1950s. The paper closes with discussion of three themes that are important to consider in ethical and policy discussions. (shrink)

This article extends property-owning democracy to the digital realm and introduces “data-owning democracy,” a new political economic regime characterized by the wide distribution of data as capital among citizens. Drawing on republican theory and acknowledging data's unique role in the digital economy, it proposes a two-tier model that combines different modes of data ownership and corresponding rights. The first layer of “data-owning democracy” is characterized by a digital public infrastructure that enables citizens to collectively (...) generate data and have a say in how their citizen data are used. In the second layer, individuals automatically receive machine-readable copies of their data whenever they are generated—a slightly more advanced form of the European Union's existing right to data portability (Art. 20). With its focus on empowerment, data-owning democracy is designed to be complementary to existing data protection regulations. It also illustrates how political theory more broadly, and republican theory specifically, can be instructive for specifying the normative components of a new political economy dealing with questions of empowerment and digital rights. (shrink)

According to contextualism, the extension of claims of personal taste is dependent on the context of utterance. According to truth relativism, their extension depends on the context of assessment. On this view, when the tastes of a speaker change, so does the truth value of a previously uttered taste claim, and if it is false, the speaker is required to retract it. Both views make strong empirical assumptions, which are here put to the test for the first time in (...) three experiments with over 740 participants. It turns out that the linguistic behaviour of ordinary English speakers is consistent with contextualist predictions and inconsistent with the predictions of the most widely discussed form of truth relativism advocated by John MacFarlane. (shrink)

This study investigates the impact of fraud/lawsuit revelation on U.S. top executive turnover and compensation. It also examines potential explanatory variables affecting the executive turnover and compensation among U.S. fraud/lawsuit firms. Four important findings are documented. First, there was significantly higher executive turnover among U.S. firms with fraud/lawsuit revelation in the Wall Street Journal than matched firms without such revelation. Second, although on average, U.S. top executives received an increase in cash compensation after fraud/lawsuit revelation, this increase is smaller (...) than that of matched non-fraud/lawsuit firms. Third, fraud/lawsuit firms were more likely to change top executive when chief executive officer (CEO) was not the board chairman and CEO had been on the board for a short time. Fourth, fraud/lawsuit firms were more likely to reduce their executive cash compensation when profitability was low, firms were involved in fraud, the compensation committee size was small, and the board met more often. These findings indicate that although, in general, U.S. fraud/lawsuits firms did not reduce their executive cash compensation, those involved in fraud were more likely to reduce their executive cash compensation than to change their top executives. The finding, that ethical standards is not a significant factor for U.S. executive turnover nor compensation reduction, suggests that ethics appears to play no part in the board’s decisions, and that U.S. firms may have ethical standards in writing but they do not implement nor enforce the standards. (shrink)

In Homo Deus, Yuval Noah Harari argues that technological advances of the twenty-first century will usher in a significant shift in how humans make important life decisions. Instead of turning to the Bible or the Quran, to the heart or to our therapists, parents, and mentors, people will turn to Big Data recommendation algorithms to make these choices for them. Much as we rely on Spotify to recommend music to us, we will soon rely on algorithms to decide (...) our careers, spouses, and commitments. Harari also predicts that next, the state will take away individuals’ rights to make their own choices about their lives. If Google knows where your children would flourish best in school, why should the state allow a fallible human parent to decide? Liberalism—which, as Harari uses this term, refers to a state of society in which human freedom to choose is respected and championed—will collapse. In this paper, I argue that Harari’s conception of the future implications of recommendation algorithms is deeply flawed, for two reasons. First, users will not rely on algorithms to make decisions for them because they have no reason to trust algorithms, which are developed by companies with their own incentives, such as profit. Second, for most of our life decisions, algorithms will not be able to be developed, because the factors relevant to the decisions we face are unique to our situation. I present an alternative depiction of the future: instead of relying on algorithms to make decisions for us, humans will use algorithms to enhance our decision-making by helping us consider the most relevant choices first and notice information we might not otherwise. Finally, I will also argue that even if computers could make many of our decisions for us, liberalism as a political system would emerge unscathed. (shrink)

One of the key features of the contemporary data economy is the widespread circulation of data and its interoperability. Critical data scholars have analysed data repurposing practices and other factors facilitating the travelling of data. While this approach focused on flows provides great potential, in this article we argue that it tends to overlook questions of attachment and belonging. Drawing upon ethnographic fieldwork within a Danish data-linkage infrastructure, and building upon insights from archival science, (...) we discuss the work of data practitioners enabling the repurposing of pathology samples extracted from patients for the conduct of ‘personal medicine’ – our term to discuss the so-called old-fashioned treatment of patients – towards personalised medicine. This first involves ‘getting to know’ the tissues and unpacking their previous uses and meanings, then detaching them from their original source to extract data from such tissues and making them flow towards a new container where they can be worked on and connected with other data. As data practitioners make these tissues travel, transforming them into research data, they organise the attachments of data to new agendas, persons and places. Crucially, in our case, we observe the prominence of national attachments, whereby managing tissues and data in and out of containers involves tying them to the nation to serve its interests. We thus expose how the building of data linkage infrastructures entails more than the accumulation and curation of data, but also involves crafting meanings, futures and belonging to specific communities and territories. (shrink)

The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, (...) the last few years have witnessed a rising concern for privacy. As bad data practices have come to light, citizens are starting to understand the real cost of using online digital technologies. Two events stamped 2018 as a landmark year for privacy: the Cambridge Analytica scandal, and the implementation of the European Union’s General Data Protection Regulation (GDPR). The former showed the extent to which personal data has been shared without data subjects’ knowledge and consent and many times for unacceptable purposes, such as swaying elections. The latter inaugurated the beginning of robust data protection regulation in the digital age. Getting privacy right is one of the biggest challenges of this new decade of the 21st century. The past year has shown that there is still much work to be done on privacy to tame the darkest aspects of the data economy. As data scandals continue to emerge, questions abound as to how to interpret and enforce regulation, how to design new and better laws, how to complement regulation with better ethics, and how to find technical solutions to data problems. The aim of the research project Data, Privacy, and the Individual is to contribute to a better understanding of the ethics of privacy and of differential privacy. The outcomes of the project are seven research papers on privacy, a survey, and this final report, which summarises each research paper, and goes on to offer a set of reflections and recommendations to implement best practices regarding privacy. (shrink)

Open peer commentary on the article “A First-Person Analysis Using Third Person-Data as a Generative Method: A Case Study of Surprise in Depression” by Natalie Depraz, Maria Gyemant & Thomas Desmidt. Upshot: In the first part of the commentary, I argue that the some of the main objectives of Depraz et al.’s target article remain somewhat unfulfilled. In the second part, I touch upon and briefly discuss the issue of what constitutes a valid method of (...) researching experience. (shrink)

Over the last decade, humans have produced each year as much data as were produced throughout the entire history of humankind. These data, in quantities that exceed current analytical capabilities, have been described as “the new oil,” an incomparable source of value. This is true for healthcare, as well. Conducting analyses of large, diverse, medical datasets promises the detection of previously unnoticed clinical correlations and new diagnostic or even therapeutic possibilities. However, using Big Data poses several problems, (...) especially in terms of representing the uniqueness of each patient and expressing the differences between individuals, primarily gender and sex differences. The first two sections of the paper provide a definition of “Big Data” and illustrate the uses of Big Data in medicine. Subsequently, the paper explores the struggle to represent exhaustively the uniqueness of the patient through Big Data is highlighted prior to a deeper investigation of the digital representation of gender in personalized medicine. The final part of the paper put forward a series of recommendations for better approaching the complexity of gender in medical and clinical research involving Big Data for the creation or enhancement of personalized medicine services. (shrink)

Over the last decade, humans have produced each year as much data as were produced throughout the entire history of humankind. These data, in quantities that exceed current analytical capabilities, have been described as “the new oil,” an incomparable source of value. This is true for healthcare, as well. Conducting analyses of large, diverse, medical datasets promises the detection of previously unnoticed clinical correlations and new diagnostic or even therapeutic possibilities. However, using Big Data poses several problems, (...) especially in terms of representing the uniqueness of each patient and expressing the differences between individuals, primarily gender and sex differences. The first two sections of the paper provide a definition of “Big Data” and illustrate the uses of Big Data in medicine. Subsequently, the paper explores the struggle to represent exhaustively the uniqueness of the patient through Big Data is highlighted prior to a deeper investigation of the digital representation of gender in personalized medicine. The final part of the paper put forward a series of recommendations for better approaching the complexity of gender in medical and clinical research involving Big Data for the creation or enhancement of personalized medicine services. (shrink)

BackgroundOver the past decade, the exponential growth of the literature devoted to personalized medicine has been paralleled by an ever louder chorus of epistemic and ethical criticisms. Their differences notwithstanding, both advocates and critics share an outdated philosophical understanding of the concept of personhood and hence tend to assume too simplistic an understanding of personalization in health care.MethodsIn this article, we question this philosophical understanding of personhood and personalization, as these concepts shape the field of personalized medicine. We establish a (...) dialogue with phenomenology and hermeneutics (especially with E. Husserl, M. Merleau-Ponty and P. Ricoeur) in order to achieve a more sophisticated understanding of the meaning of these concepts We particularly focus on the relationship between personal subjectivity and objective data.ResultsWe first explore the gap between the ideal of personalized healthcare and the reality of today’s personalized medicine. We show that the nearly exclusive focus of personalized medicine on the objective part of personhood leads to a flawed ethical debate that needs to be reframed. Second, we seek to contribute to this reframing by drawing on the phenomenological-hermeneutical movement in philosophy. Third, we show that these admittedly theoretical analyses open up new conceptual possibilities to tackle the very practical ethical challenges that personalized medicine faces.ConclusionFinally, we propose a reversal: if personalization is a continuous process by which the person reappropriates all manner of objective data, giving them meaning and thereby shaping his or her own way of being human, then personalized medicine, rather than being personalized itself, can facilitate personalization of those it serves through the data it provides. (shrink)

This article explicates the specific manners in which professorial power is indexed and implemented in the first personal pronoun `I' in academic discourse. The matter of analytic interest is to find out how the semiotic sign `I' acquires its semantic property of power in the pragmatic context of doctoral supervision. The data under consideration consist of two dyadic interactions conducted respectively by a PhD candidate with her two supervisors in an American university. The data analyses reveal that (...) professorial power may be performed in two different ways in three types of communicative acts — directive, evaluative, and explanative. The findings here may have some important implications for academic supervision in terms of the relationship between language and power. (shrink)

The processing of sensitive information in the health field is subject to rigorous standards that guarantee the protection of information confidentiality. Recently, the Italian Data Protection Authority (Garante per la Protezione dei Dati Personali) stated their formal opinion on a standard procedure in dental offices involving the submission of a questionnaire that includes the patient's health status. HIV infection status is included on the form. The Authority has stated that all health data collection must be in accordance with (...) the current Italian normative framework for personal data protection and respect the patient's freedom. This freedom allows the patient to decide, in a conscious and responsible way, whether to share health information with health personnel without experiencing any prejudice in the provision of healthcare requested. Moreover, data collection must be relevant and cannot exceed the principles of treatment goals with reference to the specific care of the concerned person. However, the need for recording information regarding HIV infection at the first appointment, regardless of the clinical intervention or therapeutic plan that needs to be conducted, should not alter the standard protection measures of the healthcare staff. In fact, these measures are adopted for every patient. (shrink)

First authoritative and comprehensive study in the field of Inkblot Personality Test, this book describes the historical roots of the three major projective inkblot measures: the Rorschach, the Holtzman Inkblot Technique (HIT) and the Somatic Inkblot Series (SIS). It presents the extensive psychometric background work accompanying the normative data and diagnostic indicators along with indices for selecting executives in a business organization. The book begins with a detailed history of Hermann Rorschach and his early experiments with inkblots in (...) the diagnosis of mentally ill patients. Special attention is given to the administration and scoring of the Rorschach, with the sections detailing the systems developed by Klopfer and Exner. The HIT and SIS are also reviewed in detail, emphasizing their psychometric qualities. (shrink)

Personal data is highly vulnerable to security exploits, spurring moves to lock it down through encryption, to cryptographically ‘cloud’ it. But personal data is also highly valuable to corporations and states, triggering moves to unlock its insights by relocating it in the cloud. We characterise this twinned condition as ‘clouded data’. Clouded data constructs a political and technological notion of privacy that operates through the intersection of corporate power, computational resources and the ability to obfuscate, gain (...) insights from and valorise a dependency between public and private. First, we survey prominent clouded data approaches, suggesting their particular affordances produce distinctive versions of privacy. Next, we perform two notional code-based experiments using synthetic datasets. In the field of health, we submit a patient’s blood pressure to a notional cloud-based diagnostics service; in education, we construct a student survey that enables aggregate reporting without individual identification. We argue that these technical affordances legitimate new political claims to capture and commodify personal data. The final section broadens the discussion to consider the political force of clouded data and its reconstitution of traditional notions such as the public and the private. (shrink)

Emotions change over time. A comprehensive understanding of emotions will require that their temporal nature be observed and analysed. By observing emotion over time, one can disentangle and simultaneously analyse temporal variability within individuals and between-individual variability using a two-step process approach. First, within-person temporal patterns (e.g., covariation, lead–lag relation, periodicity, etc.) are assessed for each subject. Second, between-person analyses are conducted on the within-person patterns. These two steps can be done simultaneously with hierarchical linear models (...) (HLM) or in two actual steps with the process approach. HLM is limited to the intra-individual analysis of linear patterns (e.g., slope, intercept), whereas the process approach can be used to examine non-linear aspects of intra-individual change, such as multivariate patterns, within-subject skew, or phase relations between oscillating processes. In this paper we provide a description of the process approach and present several examples of, as well as suggestions for, intra-individual analysis applied to emotion and individual differences. (shrink)

In this paper, we discuss several problems with current Big data practices which, we claim, seriously erode the role of informed consent as it pertains to the use of personal information. To illustrate these problems, we consider how the notion of informed consent has been understood and operationalised in the ethical regulation of biomedical research (and medical practices, more broadly) and compare this with current Big data practices. We do so by first discussing three types of problems (...) that can impede informed consent with respect to Big data use. First, we discuss the transparency (or explanation) problem. Second, we discuss the re-repurposed data problem. Third, we discuss the meaningful alternatives problem. In the final section of the paper, we suggest some solutions to these problems. In particular, we propose that the use of personal data for commercial and administrative objectives could be subject to a ‘soft governance’ ethical regulation, akin to the way that all projects involving human participants (e.g., social science projects, human medical data and tissue use) are regulated in Australia through the Human Research Ethics Committees (HRECs). We also consider alternatives to the standard consent forms, and privacy policies, that could make use of some of the latest research focussed on the usability of pictorial legal contracts. (shrink)

In early 2020, in-person data collection dramatically slowed or was completely halted across the world as many labs were forced to close due to the COVID-19 pandemic. Developmental researchers who assess looking time were forced to re-think their methods of data collection. While a variety of remote or online platforms are available for gathering behavioral data outside of the typical lab setting, few are specifically designed for collecting and processing looking time data in infants and (...) young children. To address these challenges, our lab developed several novel approaches for continuing data collection and coding for a remotely administered audiovisual looking time protocol. First, we detail a comprehensive approach for successfully administering the Multisensory Attention Assessment Protocol, developed by our lab to assess multisensory attention skills. The MAAP is administered from a distance by using Zoom, Gorilla Experiment Builder, an internet connection, and a home computer. This new data collection approach has the advantage that participants can be tested in their homes. We discuss challenges and successes in implementing our approach for remote testing and data collection during an ongoing longitudinal project. Second, we detail an approach for estimating gaze direction and duration collected remotely from webcam recordings using a post processing toolkit and demonstrate its effectiveness and precision. However, because OpenFace derives gaze estimates without translating them to an external frame of reference, we developed a machine learning approach to overcome this limitation. Thus, third, we trained a ML algorithm [] to classify gaze estimates from OpenFace with respect to areas of interest on the participant's screen. We then demonstrate reliability between this approach and traditional coding approaches. The combination of OpenFace and ML will provide a method to automate the coding of looking time for data collected remotely. Finally, we outline a series of best practices for developmental researchers conducting remote data collection for looking time studies. (shrink)

It has been one decade since the affirmative actions were implemented in Brazil, and the State University of Southwestern Bahia has been promoting them since 2009. Over these first 10 years, dozens of indigenous persons entered and graduated from this institution. Our goal is to reflect on such context based on institutional data by establishing comparisons with other segments that also access the university, as well as data from other higher education institutions. Despite the policy and good (...) academic performance, the number of indigenous persons who benefit from it still remains below the offer and is particularly concentrated in some courses in the health field. (shrink)