Information Ethics

Purpose: Self-documentation is an increasingly common phenomenon, but it is not yet well understood. This paper provides a philosophical framework for analyzing examples of self-documentation on the dimensions of ontology, epistemology and ethics. Design/methodology/approach: The framework addresses these three major areas of philosophic thought by operationalizing insights from philosophy, chiefly the work of Martin Heidegger. Heidegger’s concepts of authenticity and fallenness inform the poles of each dimension of the framework. Findings: Ontologically, self-documentation may manifest as document (authentic) or data (fallen); (...) epistemologically, as understanding (authentic) or idle curiosity (fallen); and ethically, as self-care (authentic) or diversion (fallen). These dimensions are presented separately but are understood to be intermingled. Originality/value: This unified framework offers a lens for examining and comparing cases of self-documentation and self-documents. No such framework has previously been articulated, but given the ubiquity and growing importance of self-documentation, it is needed. (shrink)

Scholarship on the politics of new media widely assumes that communication functions as a sufficient conceptual paradigm for critically assessing new media politics. This article argues that communication-centric analyses fail to engage the politics of information itself, limiting information only to its consequences for communication, and neglecting information as it reaches into our selves, lives, and actions beyond the confines of communication. Furthering recent new media historiography on the “information theory” of Shannon and Wiener, the article reveals both the primacy (...) of communication in midcentury information theory, and also a striking resonance between these postwar communication theories and Habermas’s more recent communicative theory of democracy. To achieve a critical perspective beyond communication, the article proposes a media genealogy of the politics of subjects as a methodology for developing an analysis of how information formats us as subjects of data. (shrink)

As various forms of artificial intelligence become increasingly integrated into our daily lives, understanding the ethical challenges that can be met by the development of human-centered AI is vital. This paper investigates the intersection of the philosophy of technology, moral philosophy, and user experience design to explore points of interaction between humans and machines. The paper suggests that examining the context in which AI is often deployed, including social and digital environments, offers a rich vein for examining the mechanisms underlying (...) ethical issues in AI. Finally the paper identifies concerns in the ethics of technology that complement issues arising in the development of human-computer interactions and explores a notion practice that can frame design as concerned with human values. By examining these intersections, I hope to offer insights that can aid in the deployment of human-centered AI. (shrink)

Advances in AI are powering increasingly precise and widespread computational propaganda, posing serious threats to national security. The military and intelligence communities are starting to discuss ways to engage in this space, but the path forward is still unclear. These developments raise pressing ethical questions, about which existing ethics frameworks are silent. Understanding these challenges through the lens of “cognitive security,” we argue, offers a promising approach.

Existing discussions about automated decision-making focus primarily on its inputs and outputs, raising questions about data collection and privacy on one hand and accuracy and fairness on the other. Less attention has been devoted to critically examining the temporality of decision-making processes—the speed at which automated decisions are reached. In this paper, I identify four dimensions of algorithmic speed that merit closer analysis. Duration (how much time it takes to reach a judgment), timing (when automated systems intervene in the activity (...) being evaluated), frequency (how often evaluations are performed), and lived time (the human experience of algorithmic speed) are interrelated, but distinct, features of automated decision-making. Choices about the temporal structure of automated decision-making systems have normative implications, which I describe in terms of "disruption," "displacement," "re-calibration," and "temporal fairness," with values such as accuracy, fairness, accountability, and legitimacy hanging in the balance. As computational tools are increasingly tasked with making judgments about human activities and practices, the designers of decision-making systems will have to reckon, I argue, with when—and how fast—judgments ought to be rendered. Though computers are capable of reaching decisions at incredible speeds, failing to account for the temporality of automated decision-making risks misapprehending the costs and benefits automation promises. (shrink)

Automated influence, delivered by digital targeting technologies such as targeted advertising, digital nudges, and recommender systems, has attracted significant interest from both empirical researchers, on one hand, and critical scholars and policymakers on the other. In this paper, we argue for closer integration of these efforts. Critical scholars and policymakers, who focus primarily on the social, ethical, and political effects of these technologies, need empirical evidence to substantiate and motivate their concerns. However, existing empirical research investigating the effectiveness of these (...) technologies (or lack thereof), neglects other morally relevant effects—which can be felt regardless of whether or not the technologies "work" in the sense of fulfilling the promises of their designers. Drawing from the ethics and policy literature, we enumerate a range of questions begging for empirical analysis—the outline of a research agenda bridging these fields—and issue a call to action for more empirical research that takes these urgent ethics and policy questions as their starting point. (shrink)

This paper explores some features of the epistemic environment in social media and online communication. We argue that digital environments differ from offline ones in at least two ways: (a) online environments are thoroughly structured and programmed. Every action is defined and limited by the underlying code created by the system’s developers, providing the tools users need to navigate the online space. In contrast, offline environments are open to chance and unpredictability, allowing for events and actions that the system has (...) not predetermined; (b) every action is traced and used to evaluate levels of engagement with content and posts, with significant epistemic consequences. This creates a “dense” environment in which users are deeply entangled. In this regard, the concept of purely passive engagement is challenged, since activities such as just watching a video or reading a post can alter the epistemic landscape and promote specific content with which a person interacts. As a result, online social environments facilitate a variety of indirect communicative and epistemic activities across the network. Given this, the paper suggests that in such settings, attentional disengagement and avoidance should be considered a potential proactive way to modulate self-exposure. This strategy is aimed not only at protecting individuals from harmful content but also at actively shaping the information flow and knowledge structure within the environment. Managing one’s own attention can thus significantly influence how information is perceived and disseminated, essentially controlling the personal and collective epistemic environment. (shrink)

Data increasingly drive our lives. Often presented as a new trajectory, the deep immersion of our lives in data has a history that is well over a century old. By revisiting the work of early pioneers of what would today be called data science, we can bring into view both assumptions that fund our data-driven moment as well as alternative relations to data. I here excavate insights by contrasting a seemingly unlikely pair of early data technologists, Francis Galton and W.E.B. (...) Du Bois. Galton, well known for his contributions to eugenics, was first and foremost a tinkering technician of measure. There are numerous domains of science over which Galtonian conceptions retain considerable influence, presumably without his pride in racial inequality. A more viable, because more egalitarian, alternative for the present can be found in the early data work of Du Bois. (shrink)

Largely thanks to Mill’s influence, the suggestion that the state ought to restrict the distribution of misinformation will strike most philosophers as implausible. Two of Mill’s influential assumptions are particularly relevant here: first, that free speech debates should focus on moral considerations such as the harm that certain forms of expression might cause; second, that false information causes minimal harm due to the fact that human beings are psychologically well equipped to distinguish truth and falsehood. However, in addition to our (...) moral obligations, we also have a distinct set of epistemic obligations—and even when a false belief doesn’t harm anyone, it constitutes an epistemically bad outcome. Moreover, Mill was profoundly mistaken about human psychology: human beings are vulnerable to the influence of a wide variety of false claims via a wide variety of psychological mechanisms. Consequently, there is a purely epistemic justification for restricting the distribution of misinformation: because each of us has an individual epistemic obligation to avoid unnecessary exposure to misinformation, and because avoiding such exposure is simply too difficult when acting alone, we all have a shared epistemic obligation to establish laws or regulations restricting the widespread distribution of misinformation. (shrink)

Na era das tecnologias digitais, entender vieses algorítmicos por meio das teorias da verdade ajuda a fazer perguntas cujas respostas facilitam a filtragem da informação de forma mais eficaz. O ganho é a compreensão aprofundada da realidade.

This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research methods syllabi from across the disciplines, as well as 80 syllabi from data science programmes to understand how or if data ethics was taught. We also reviewed 12 data ethics (...) frameworks drawn from different sectors. Finally, we reviewed an extensive and diverse body of literature about data practices, research ethics, data ethics and critical data literacy, in order to develop a transversal model that can be adopted across higher education. To promote and support ethical approaches to the collection and use of data, ethics training must go beyond securing informed consent to enable a critical understanding of the techno-centric environment and the intersecting hierarchies of power embedded in technology and data. By fostering ethics as a method, educators can enable research that protects vulnerable groups and empower communities. (shrink)

In this article, I argue that online echo chambers are in some cases and in some respects good. I do not attempt to refute arguments that they are harmful, but I argue that they are sometimes beneficial. In the first section, I argue that it is sometimes good to be insulated from views with which one disagrees. In the second section, I argue that the software-design principles that give rise to online echo chambers have a lot to recommend them. Further, (...) the opposing principle, serendipity, could give rise to serious harm, in light of the conclusion of the first section that sometimes we are better off being insulated from some content online. In the third section, I argue that polarization can be a useful tool for inculcating the appropriate attitudes in a person. (shrink)

Data mining possess a significant threat to ethics, privacy, and legality, especially when we consider the fact that data mining makes it difficult for an individual or consumer (in the case of a company) to control accessibility and usage of his data. Individuals should be able to control how his/ her data in the data warehouse is being access and utilize while at the same time providing enabling environment which enforces legality, privacy and ethicality on data scientists, or data engineer (...) during data mining process. This paper review issues of legality, privacy, and ethicality in data mining, review processes of Data mining, and also proposes solution to current ethical and privacy issue in data mining. It introduces a new method which enforces data mining without infringing on the privacy of individual or consumer whose data are being used. The sole aim of this paper is to propose a new method of mining data which restricts scientists within the constraints of legality, privacy, and ethicality. (shrink)

Cameras, microphones, and other sensors continue to proliferate in the world around us. I offer a new metaphor for conceptualizing these technologies: they are _digital wormholes_, transmitting representations of human persons between disparate points in space–time. We frequently cannot tell when they are operational, what kinds of data they are collecting, where the data may reappear in the future, and how the data can be used against us. The wormhole metaphor makes the mysteriousness of digital sensors salient: digital sensors have (...) brought us to a strange place. If humans are to be capable of making sensible decisions while under observation by digital sensors, we must improve the epistemic position of potential sensor subjects. (shrink)

Differential privacy (DP) aims to confer data processing systems with inherent privacy guarantees, offering strong protections for personal data. But DP’s approach to privacy carries with it certain assumptions about how mathematical abstractions will be translated into real-world systems, which—if left unexamined and unrealized in practice—could function to shield data collectors from liability and criticism, rather than substantively protect data subjects from privacy harms. This article investigates these assumptions and discusses their implications for using DP to govern data-driven systems. In (...) Parts 1 and 2, we introduce DP as, on one hand, a mathematical framework and, on the other hand, a kind of real-world sociotechnical system, using a hypothetical case study to illustrate how the two can diverge. In Parts 3 and 4, we discuss the way DP frames privacy loss, data processing interventions, and data subject participation, arguing it could exacerbate existing problems in privacy regulation. In part 5, we conclude with a discussion of DP’s potential interactions with the endogeneity of privacy law, and we propose principles for best governing DP systems. In making such assumptions and their consequences explicit, we hope to help DP succeed at realizing its promise for better substantive privacy protections. (shrink)

The 2010s were a golden age of information privacy research, but its policy accomplishments tell a mixed story. Despite significant progress on the development of privacy theory and compelling demonstrations of the need for privacy in practice, real achievements in privacy law and policy have been, at best, uneven. In this chapter, I outline three broad shifts in the way scholars (and, to some degree, advocates and policy makers) are approaching privacy and social media. First, a change in emphasis from (...) individual to structural approaches. Second, increasing attention to the political economy of privacy—especially the business models of information companies, such as social media platforms. And third, a deeper understanding of privacy’s role in a healthy digital public sphere. (shrink)

The potential to collect brain data more directly, with higher resolution, and in greater amounts has heightened worries about mental and brain privacy. In order to manage the risks to individuals posed by these privacy challenges, some have suggested codifying new privacy rights, including a right to “mental privacy.” In this paper, we consider these arguments and conclude that while neurotechnologies do raise significant privacy concerns, such concerns are—at least for now—no different from those raised by other well-understood data collection (...) technologies, such as gene sequencing tools and online surveillance. To better understand the privacy stakes of brain data, we suggest the use of a conceptual framework from information ethics, Helen Nissenbaum’s “contextual integrity” theory. To illustrate the importance of context, we examine neurotechnologies and the information flows they produce in three familiar contexts—healthcare and medical research, criminal justice, and consumer marketing. We argue that by emphasizing what is distinct about brain privacy issues, rather than what they share with other data privacy concerns, risks weakening broader efforts to enact more robust privacy law and policy. (shrink)

The attention economy — the market where consumers’ attention is exchanged for goods and services — poses a variety of threats to individuals’ autonomy, which, at minimum, involves the ability to set and pursue ends for oneself. It has been argued that the threat wireless mobile devices pose to autonomy gives rise to a duty to oneself to be a digital minimalist, one whose interactions with digital technologies are intentional such that they do not conflict with their ends. In this (...) paper, we argue that there is a corresponding duty to others to be an attention ecologist, one who promotes digital minimalism in others. Although the moral reasons for being an attention ecologist are similar to those that motivate the duty to oneself, the arguments diverge in important ways. We explore the application of this duty in various domains where we have special obligations to promote autonomy in virtue of the different roles we play in the lives of others, such as parents and teachers. We also discuss the consequences of our arguments for employers, software developers, and policy makers. (shrink)

In this article, we use the theory of Information Ethics to argue that deceased people have a prima facie moral right to privacy in the context of health data research, and that this should be reflected in regulation and guidelines. After death, people are no longer biological subjects but continue to exist as informational entities which can still be harmed/damaged. We find that while the instrumental value of recognising post-mortem privacy lies in the preservation of the social contract for health (...) research, its intrinsic value is grounded in respect for the dignity of the post-mortem informational entity. However, existing guidance on post-mortem data protection is available only in the context of genetic studies. In comparing the characteristics of genetic data and other health-related data, we identify two features of DNA often given as arguments for this genetic exceptionalism: relationality and embodiment. We use these concepts to show that at the appropriate Level of Abstraction, there is no morally relevant distinction between posthumous genetic and other health data. Thus, genetic data should not automatically receive special moral status after death. Instead we make a plea for ‘contextual exceptionalism’. Our analysis concludes by reflecting on a real-world case and providing suggestions for contextual factors that researchers and oversight bodies should take into account when designing and evaluating research projects with health data from deceased subjects. (shrink)

What makes political freedom valuable to us? Two well-known arguments are that freedom contributes to our desire satisfaction and to our personal responsibility. Here, Boudewijn de Bruin argues that freedom is valuable when it is accompanied by knowledge. He offers an original and systematic account of the relationship between freedom and knowledge and defends two original normative ideals of known freedom and acknowledged freedom. -/- By combining psychological perspectives on choice and philosophical views on the value of knowledge, he shows (...) how known freedom is crucial to satisfy our desires and assume responsibility. Known freedom is compromised when salespeople deploy consumer-obfuscation, or when news outlets use contextual framing techniques to steer the way their audiences process information. Conversely, carefully developed consumer protection and information disclosure regulation can foster known freedom. Acknowledged freedom, from ethical and economic perspectives, offers protection and makes our freedoms more stable. It embodies an ideal of mutual recognition that underlies informed consent and the ethics of communication, and can also contribute to a flourishing corporate culture. -/- This book integrates and extends cutting-edge research from philosophy, economics, psychology, and law to reorient debates on privacy, neuromarketing, sustainable finance, corporate culture, consumer protection, media violence, and freedom of speech. -/- An original account of the relation between freedom and knowledge, integrating cutting-edge research from philosophy, economics, psychology, and law; defends the ideals of known and acknowledged freedom; offers new perspectives on debates surrounding privacy, corporate culture, consumer protection, freedom of speech, and more -/- Introduction: Why Freedom is Not Enough 1:From Choice Overload to Discrimination: Arguments for Freedom 2:From Brainwashing to Neuromarketing: Freedom of Belief 3:From the Value of Knowledge to Skills and Stereotypes: The Individual Ideal of Known Freedom 4:From Common Knowledge to the Ethics of Communication: The Social Ideal of Acknowledged Freedom 5:Sustainable Finance and Responsible Investors 6:Ethics Management and Informed Stakeholders 7:Freedom of Speech and Consumer Autonomy 8:Liberal Privacy and Legal Protection Conclusion: How Freedom Can Be Sufficient . (shrink)

Like all other inventions, advances in the field of digital computational technologies, which we will briefly describe as the information world, have also played an essential role in humanity life. These advances have brought some ethical debates to our individual and social life, as well as the industrial benefit obtained by the digital and analog technological developments that positively or negatively affect and transform all economic and cultural paradigms surrounding human life. The branch of the philosophy of information, which questions (...) the basic issues and discussions of the information age through philosophical paradigms, deals with the ontological, epistemological, and axiological problems of the information age. The subject deals with the analysis and new results of an Aristotelian information ethics theory, which is a theory first proposed to the world of thought in the field of the philosophy of information. The main reason for dealing with this subject in the thesis is to examine the scientific, technological, and philosophical bases of the information revolution. (shrink)

Medicine is often thought of as a science of the body, but it is also a science of data. In some contexts, it can even be asserted that data drive health. This article focuses on a key piece of data technology central to contemporary practices of medicine: the medical record. By situating the medical record in the perspective of its history, we inquire into how the kinds of data that are kept at sites of clinical encounter often depend on informational (...) requirements that originate well outside of the clinic, in particular in health insurance records systems. Although this dependency of today's electronic medical records on billing requirements is widely lamented by clinical providers, its history remains little studied. Following the archaeology of medicine developed by Michel Foucault in The Birth of the Clinic and expanding his methodology in light of more recent contributions to the field of media archaeology, this article excavates some of the underexplored technological conditions that help constitute today's electronic medical record. If in some contexts, it is true that data drive health, then an archaeology of medical records helps reveal how health insurance records often impact clinical care and, by extension, health and disease. (shrink)

Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though this may sound like (...) a natural proposal, I show it offers guidance that conflicts with standard scientific practices. I conclude by considering one cost of the proposal: that it would prevent scientists from acting as advocates in a way that is currently common in certain fields. I accept that the proposal would restrict scientists’ political advocacy rights, but argue that the benefits of adopting it — promoting democratic governance — justify the restriction. (shrink)

This chapter provides a high-level overview of key ethical issues raised by the use of surveillance technologies, such as digital contact tracing, disease surveillance, and vaccine passports, to combat the COVID-19 pandemic. To some extent, these issues are entirely familiar. I argue that they raise old questions in new form and with new urgency, at the intersection of information ethics, research ethics, and public health. Whenever we deal with data-driven technologies, we have to ask how they fare in relation to (...) important values like privacy, fairness, transparency, and accountability—values emphasized by information ethics scholars. Likewise, when such technologies put individuals at risk in order to drive scientific research and knowledge construction, we have to ask how they implicate values such as autonomy, beneficence and non-maleficence, and justice—values central to research ethics. And as researchers focusing on health information have long argued, when the data collected by these technologies pertain to individuals and public health, these ethical issues take on a special cast. -/- It is also true, however, that the pandemic has placed these questions in a new and revealing light. I highlight three insights from information ethics and research ethics that can help us navigate this difficult terrain. First, the value of privacy is instrumental, not absolute—there is nothing wrong with asking how to balance privacy against other important values. Second, privacy has both individual and social importance. Weighing privacy, on one hand, and public health, on the other, is not, therefore, a contest between individual and collective interests. Rather, it is an attempt to balance disparate public goods. Third, we ought to put these kinds of ethical decisions in the hands of third parties, rather than leaving them up to those who directly stand to benefit from them. In the case of pandemic surveillance technologies, this should mean more public, democratic oversight. (shrink)

Surveillance studies scholars and privacy scholars have each developed sophisticated, important critiques of the existing data-driven order. But too few scholars in either tradition have put forward alternative substantive conceptions of a good digital society. This, I argue, is a crucial omission. Unless we construct new “sociotechnical imaginaries,” new understandings of the goals and aspirations digital technologies should aim to achieve, the most surveillance studies and privacy scholars can hope to accomplish is a less unjust version of the technology industry’s (...) own vision for the future. (shrink)

With the shortage of physicians and surgeons and increase in demand worldwide due to situations such as the COVID-19 pandemic, there is a growing interest in finding solutions to help address the problem. A solution to this problem would be to use neurotechnology to provide them augmented cognition, senses and action for optimal diagnosis and treatment. Consequently, doing so can negatively impact them and others. We argue that applying neurotechnology for human enhancement in physicians and surgeons can cause injustices, and (...) harm to them and patients. In this paper, we will first describe the augmentations and neurotechnologies that can be used to achieve the relevant augmentations for physicians and surgeons. We will then review selected ethical concerns discussed within literature, discuss the neuroengineering behind using neurotechnology for augmentation purposes, then conclude with an analysis on outcomes and ethical issues of implementing human augmentation via neurotechnology in medical and surgical practice. (shrink)

The purpose of this survey was to gather individual’s attitudes and feelings towards privacy and the selling of data. A total (N) of 1,107 people responded to the survey. -/- Across continents, age, gender, and levels of education, people overwhelmingly think privacy is important. An impressive 82% of respondents deem privacy extremely or very important, and only 1% deem privacy unimportant. Similarly, 88% of participants either agree or strongly agree with the statement that ‘violations to the right to privacy are (...) one of the most important dangers that citizens face in the digital age.’ The great majority of respondents (92%) report having experienced at least one privacy breach. -/- People’s first concern when losing privacy is the possibility that their personal data might be used to steal money from them. Interestingly, in second place in the ranking of concerns, people report being concerned about privacy because ‘Privacy is a good in itself, above and beyond the consequences it may have.’ -/- People tend to feel that they cannot trust companies and institutions to protect their privacy and use their personal data in responsible ways. The majority of people believe that governments should not be allowed to collect everyone’s personal data. Privacy is thought to be a right that should not have to be paid for. (shrink)

Although there is much discussion in scientific and law journals regarding direct-to-consumer genetic testing (DTCGT), there is a paucity of philosophical-ethical examination of how such services threaten to repeat the essentialist, racial-projects of the past. On the one hand, testing for ancestry can be cathartic: for those lacking familial history as to when and how they came to be where they are, DTCGT can offer powerful access to their lineage and identity-formation. On the other hand, DTCGT inevitably reinscribes problematic epistemologies (...) of race—even when the companies claim that their tests can be tools to combat white supremacy. Tracing the roots of biological essentialism back to Aristotle, through the invention of raza as cocreator of modernity, and up to critical race theories today, provides a strong foundation to examine the nascent race-thinking underlying DTCGT. Borrowing heavily from Paul Taylor and Charles Mills, but also enlisting scholars from other disciplines, such as Ifeoma Ajunwa (law), Alondra Nelson (sociology), and Troy Duster (genetics), provides the broad scope necessary for thoughtful, agile engagement of that which is ameliorative, unethical, and even dangerous—for all of us—in the age of 23andMe. (shrink)

This paper looks at the development of blockchain technologies that promise to bring new tools for the management of private data, providing enhanced security and privacy to individuals. Particular interest present solutions aimed at reorganizing data flows in the Internet of Things architectures, enabling the secure and decentralized exchange of data between network participants. However, as this paper argues, the promised benefits are counterbalanced by a significant shift towards the propertization of private data, underlying these proposals. Considering the unique capacity (...) of blockchain technology applications to imitate and even replace traditional institutions, this aspect may present certain challenges, both of technical and ethical character. In order to highlight these challenges and associated concerns, this paper identifies the underlying techno-economic factors and normative assumptions defining the development of these solutions amounting to technologically enabled propertization. It is argued that without careful consideration of a wider impact, such blockchain applications could have effects opposite to the intended ones, thus contributing to the erosion of privacy for IoT users. (shrink)

The aim of this paper is to discuss anonymity and the threats against it—in the form of deanonymization technologies. The question in the title is approached by conceptual analysis: I ask what kind of concept we need and how it ought to be conceptualized given what is really at stake. By what is at stake I mean the values that are threatened by various deanonymization technologies. It will be argued that while previous conceptualizations of anonymity may be reasonable—given a standard (...) lexical, or common-sense, understanding of the term—the concept of anonymity is not sufficient given what is really at stake. I will argue that what is at stake is our ability to be anonymous, which I will broadly characterize as a reasonable control over what we communicate. (shrink)

It is argued that GDPR suffer from a practical problem of click-through consents, which developers of web browsers should resolve.

Qual o lugar da filosofia nos dias atuais? Diante das inúmeras respostas possíveis a esta questão, nos debruçaremos em alguns tópicos que podemos inserir na chamada Ética Informacional, um ramo de investigação filosófico-interdisciplinar relativamente recente que discute problemas oriundos da relação ser humano/tecnologias digitais. Temas como privacidade informacional, arrogância epistêmica e divisão digital serão discutidos e relacionados, com o intuito de ilustrar o papel da filosofia na compreensão da complexidade inerente às dinâmicas sociais no contexto da sociedade da informação. Argumentaremos (...) que pensar o mundo contemporâneo a partir do viés da ética informacional se faz cada dia mais imprescindível para que possamos entrar em sintonia com as rápidas mudanças que a revolução informacional impõe à vida em sociedade e não sermos levados pelas enxurradas informacionais que presenciamos diariamente. (shrink)

The Internet has been identified in human enhancement scholarship as a powerful cognitive enhancement technology. It offers instant access to almost any type of information, along with the ability to share that information with others. The aim of this paper is to critically assess the enhancement potential of the Internet. We argue that unconditional access to information does not lead to cognitive enhancement. The Internet is not a simple, uniform technology, either in its composition, or in its use. We will (...) look into why the Internet as an informational resource currently fails to enhance cognition. We analyze some of the phenomena that emerge from vast, continual fluxes of information–information overload, misinformation and persuasive design—and show how they could negatively impact users’ cognition. Methods for mitigating these negative impacts are then advanced: individual empowerment, better collaborative systems for sorting and categorizing information, and the use of artificial intelligence assistants that could guide users through the informational space of today’s Internet. (shrink)

Algorithms can now identify patterns and correlations in the (big) datasets, and predict outcomes based on those identified patterns and correlations with the use of machine learning techniques and big data, decisions can then be made by algorithms themselves in accordance with the predicted outcomes. Yet, algorithms can inherit questionable values from the datasets and acquire biases in the course of (machine) learning, and automated algorithmic decision-making makes it more difficult for people to see algorithms as biased. While researchers have (...) taken the problem of algorithmic bias seriously, but the current discussion on algorithmic fairness tends to conceptualize ‘fairness’ in algorithmic fairness primarily as a technical issue and attempts to implement pre-existing ideas of ‘fairness’ into algorithms. In this paper, I show that such a view of algorithmic fairness as technical issue is unsatisfactory for the type of problem algorithmic fairness presents. Since decisions on fairness measure and the related techniques for algorithms essentially involve choices between competing values, ‘fairness’ in algorithmic fairness should be conceptualized first and foremost as a political issue, and it should be (re)solved by democratic communication. The aim of this paper, therefore, is to explicitly reconceptualize algorithmic fairness as a political question and suggest the current discussion of algorithmic fairness can be strengthened by adopting the accountability for reasonableness framework. (shrink)

In the wake of high profile and recent events of blatant privacy violations, which also raise issues of democratic accountability as well as, at least potentially, undermining the legitimacy of current local and international governance arrangements, a rethinking of the justification of the right to privacy is proposed. In this paper, the case of the violation of the privacy of a bullied autistic youngster and the consequent prosecution of 3 Google executives will be discussed first. We will then analyse the (...) arguments made by both academic experts and pundits who agree with Google’s claim that if the first sentence had been left unchallenged, it would have opened the floodgates to several other jurisdictions that would as a consequence have used it as a pretext to increase control on the internet, jeopardising in such a way free speech, which has been seen so far as an inalienable right which should not be censored. Finally, by going beyond the sentences and their immediate contexts, we will propose a theoretical justification of our analysis. Our main claim is that the value of the right to privacy is based on the argument that its violation would undermine citizens’ capacity to participate effectively in democratic politics. (shrink)

This article proposes a new definition of information security, the ‘Appropriate Access’ definition. Apart from providing the basic criteria for a definition—correct demarcation and meaning concerning the state of security—it also aims at being a definition suitable for any information security perspective. As such, it bridges the conceptual divide between so-called ‘soft issues’ of information security and more technical issues. Because of this it is also suitable for various analytical purposes, such as analysing possible security breaches, or for studying conflicting (...) attitudes on security in an organization. The need for a new definition is demonstrated by pointing to a number of problems for the standard definition type of information security—the so-called CIA definition. Besides being too broad as well as too narrow, it cannot properly handle the soft issues of information security, nor recognize the contextual and normative nature of security. (shrink)

The era of AI-based decision-making fast approaches, and anxiety is mounting about when, and why, we should keep “humans in the loop” (“HITL”). Thus far, commentary has focused primarily on two questions: whether, and when, keeping humans involved will improve the results of decision-making (making them safer or more accurate), and whether, and when, non-accuracy-related values—legitimacy, dignity, and so forth—are vindicated by the inclusion of humans in decision-making. Here, we take up a related but distinct question, which has eluded the (...) scholarship thus far: does it matter if humans appear to be in the loop of decision-making, independent from whether they actually are? In other words, what is stake in the disjunction between whether humans in fact have ultimate authority over decision-making versus whether humans merely seem, from the outside, to have such authority? Our argument proceeds in four parts. First, we build our formal model, enriching the HITL question to include not only whether humans are actually in the loop of decision-making, but also whether they appear to be so. Second, we describe situations in which the actuality and appearance of HITL align: those that seem to involve human judgment and actually do, and those that seem automated and actually are. Third, we explore instances of misalignment: situations in which systems that seem to involve human judgment actually do not, and situations in which systems that hold themselves out as automated actually rely on humans operating “behind the curtain.” Fourth, we examine the normative issues that result from HITL misalignment, arguing that it challenges individual decision-making about automated systems and complicates collective governance of automation. (shrink)

This paper offers a sketch of the complicated conflicts which arise—and metastasize seemingly daily—in the era of Big Data. Given the public’s ubiquitous-yet-ostensibly-voluntary data surrender, and industry’s ubiquitous-yet-ostensibly-anodyne collection of the same, inaction is not an option for any near-just society. By revisiting the philosophical basis for Panoptic apparatus, sketching the tumultuous history of US contract law trying to protect the public from itself, and comparing existing industry codes for similarly-situated—read: terrifyingly invasive—fields, the paper will provide a preliminary framework for (...) identifying and confronting the galaxy of problems associated with data analytics. (shrink)

The moral significance of blockchain technologies is a highly debated and polarised topic, ranging from accusations that cryptocurrencies are tools serving only nefarious purposes such as cybercrime and money laundering, to the assessment of blockchain technology as an enabler for revolutionary positive social transformations of all kinds. Such technological determinism, however, hardly provides insights of sufficient depth on the moral significance of blockchain technology. This thesis argues rather, that very much like the cryptographic tools before them, blockchains develop in a (...) constant feedback loop. Blockchain applications are driven by values, normative assumptions, and personal commitments of researchers, which shape moral effects of technology. At the same time these very assumption are often embedded in preexisting moral conception and ethical theories, implicitly or explicitly accepted by blockchain developers. And just as the introduction of one flawed element in the cryptographic application can have mass scale effects, the introduction of flawed normative assumptions can have far reaching consequences in blockchain applications. This thesis argues that we should not take normative assumptions present in blockchain applications as given. Just like the open-source code is developed through the public revision and scrutiny, we should aim to make normative assumptions transparent and be ready to revise them in case we find some bugs. How can we qualify claims that blockchain technologies enable new types of institutions? Can blockchain technologies eliminate trust in complex socio-technical systems? What does individual sovereignty mean in the context of private data control and privacy? Whether property in private data enabled by blockchain applications can solve moral issues of privacy and commercial surveillance? Answers to these and other questions map some of the key normative assumptions present in the current blockchain applications and serve as a contribution to the open-source project of the future society built on the fundamental human values. (shrink)

We are now acutely aware, as if all of the sudden, that data matters enormously to how we live. How did information come to be so integral to what we can do? How did we become people who effortlessly present our lives in social media profiles and who are meticulously recorded in state surveillance dossiers and online marketing databases? What is the story behind data coming to matter so much to who we are? -/- In How We Became Our Data, (...) Colin Koopman excavates early moments of our rapidly accelerating data-tracking technologies and their consequences for how we think of and express our selfhood today. Koopman explores the emergence of mass-scale record keeping systems like birth certificates and social security numbers, as well as new data techniques for categorizing personality traits, measuring intelligence, and even racializing subjects. This all culminates in what Koopman calls the “informational person” and the “informational power” we are now subject to. The recent explosion of digital technologies that are turning us into a series of algorithmic data points is shown to have a deeper and more turbulent past than we commonly think. Blending philosophy, history, political theory, and media theory in conversation with thinkers like Michel Foucault, Jürgen Habermas, and Friedrich Kittler, Koopman presents an illuminating perspective on how we have come to think of our personhood—and how we can resist its erosion. (shrink)

This chapter argues that rather than viewing transparency as a right, we should regard it as a finite resource whose allocation involves tradeoffs. It then argues that those tradeoffs should be resolved by using a multi-principle approach to distributive justice. The relevant principles include maximizing welfare, maximizing autonomy, and giving priority to the worst off. Finally, it examines some of the implications for law of recognizing the tradeoffs presented by transparency proposals.

According to the Oxford dictionaries, the term ‘post-truth’ is the word of the year 2016. This title was granted to ‘post-truth’ because of its virtual omnipresence in the reviews and assessments of several political events that took place during that year. The present essay shows how post-truth politicians try to connect with people, and offers a reflection on the philosophical implications of this new attitude towards truth and empirical evidence.

The dominant legal and regulatory approach to protecting information privacy is a form of mandated disclosure commonly known as “notice-and-consent.” Many have criticized this approach, arguing that privacy decisions are too complicated, and privacy disclosures too convoluted, for individuals to make meaningful consent decisions about privacy choices—decisions that often require us to waive important rights. While I agree with these criticisms, I argue that they only meaningfully call into question the “consent” part of notice-and-consent, and that they say little about (...) the value of notice. We ought to decouple notice from consent, and imagine notice serving other normative ends besides readying people to make informed consent decisions. (shrink)