This paper explores the theme of education and the posthuman from the perspective of French philosophy. It addresses a crisis in eduction today identified by Michel Serres: now that knowledge is widely and freely accessible through information technologies, what is the purpose of education? A response is developed through three conceptual terms prefixed with ‘post’: the postmodern, the posthuman, and through the proposed idea of ‘postinformation.’ The background to the problem is sketched in terms of the ‘postmodern,’ with reference to (...) Lyotard’s influential The Postmodern Condition. A theory of the posthuman, which synthesises Stiegler’s ‘exorganism’ and Floridi’s ‘inforg’, is then sketched in response to Serres’ question of who the subject of education is today. The response to the crisis the paper proposes is that the purpose of education today is not to transmit information, but to help shape posthuman subjects able to process it effectively. This means helping them to learn how to navigate the complex informational networks we now inhabit so that they are able to flourish. The concept of postinformation is designed to help facilitate this educational shift in perspective. Postinformation concerns not just informational content, but the constitutive function of information and information technologies. (shrink)

This essay develops three key claims made in my 2018 book, Exceptional Technologies. Part one argues for ‘trivialising the transcendental’, to remove stigmas attached to the word ‘transcendental’ in philosophy in general and philosophy of technology in particular. Part two outlines the concept of ‘exceptional technologies’. These are artefacts and practices that show up as limit cases for our received pictures of what constitutes a ‘technology’ and that force us to reassess the conditions for the possibility of these pictures. I (...) focus on the case of autonomous vehicles here, arguing that Google Street View provides a relatively better picture for approaching philosophical issues at stake than the famous ‘Trolley Problem’. Part three then concludes with a focus on Heidegger’s ‘Question Concerning Technology’ essay. Heidegger asserts that philosophical questioning ‘builds a way’. I argue that philosophical approaches to technologies might better be considered in terms of a multidimensional problem space. (shrink)

This short paper offers a series of responses to Jochem Zwier and Timothy Barker’s comments on my extended paper ‘Taking Exception: Philosophy of Technology as a Multidimensional Problem Space.’ Part one responds to questions concerning the modality of the renewed understanding of the theme of the transcendental that was argued for in my initial paper: I argue for the deep _contingency_ of such a move, against any sense that it is _necessary._ Part two takes this consideration of modality further, considering (...) the _possibilities_ that a renewal of the theme of the transcendental stands to offer philosophy of technology today. I argue that the contingency of our contemporary sense of the transcendental can be precisely what makes it valuable. Whereas parts one and two turn on incisive questions posed by Zwier, part three closes by reconsidering the claims for a ‘multidimensional problem space’ offered in my initial paper. In response to an acute insight from Barker, I close by arguing that philosophy of technology’s problem space should be explored in terms of a notion of ‘shared agonism’. (shrink)

V tejto stati je najprv predstavená filozofia informácie (FI) a demarkácia jej predmetu v metodologicky ucelenej forme, to nadviazaním na koncepciu FI L. Floridiho. V porovnaní s jeho návrhom je vyčlenený i predmet metafilozofie informácie, a takisto je ujasnené aj označenie,,filozofie prima“. Floridi tvrdí, že jeho koncepcia FI ho môže voči iným filozickým disciplínam nadobudnúť. Problém chápania FI ako filozofie prima sa však ani po dvadsiatich rokoch od jeho uvedenia výraznejšej priamej reflexie nedočkal. V tejto štúdii je zodpovedaná otázka, či (...) je tento problém stále otvoreným problémom FI a ak áno, v akom zmysle. Je obhajovaná téza, že problém chápania FI ako filozofie primaje otvoreným problémom metafilozofie informácie, pričom vzhľadom na výsledky práce v FI sú identifikované niektoré oblasti, relatívne ku ktorým v súčasnosti môžeme, nemôžeme a nedokážeme FI označiť ako prima. (shrink)

The emerging field of synthetic biology aims to engineer novel biological entities. The envisioned future bio-based economy builds largely on “cell factories”: organisms that have been metabolically engineered to sustainably produce substances for human ends. In this paper, we argue that synthetic biology’s goal of creating efficient production vessels for industrial applications implies a set of ontological assumptions according to which living organisms are machines. Traditionally, a machine is understood as a technological, isolated and controllable production unit consisting of parts. (...) But modified organisms, or hybrids, require us to think beyond the machine paradigm and its associated dichotomies between artificial and natural, organisms and artefacts. We ask: How may we conceptualise hybrids beyond limiting ontological categories? Our main claim is that the hybrids created by synthetic biology should be considered not as machines but as metabolic systems. We shall show how the philosophical account of metabolism can inform an ontology of hybrids that moves beyond what we call the “machine ontology”, considering that metabolism enables thinking beyond the dominant dichotomies and allows us to understand and design lifeforms in a bio-based economy. Thus, the aim of this paper is twofold: first, to develop the philosophical ontology of hybrids, and second, to move synthetic biology beyond the problematically limiting view of hybrids. (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

As the range of potential uses for Artificial Intelligence, in particular machine learning, has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory of (...) AI ethics principles and the practical design of AI systems. In previous work, we analysed whether it is possible to close this gap between the ‘what’ and the ‘how’ of AI ethics through the use of tools and methods designed to help AI developers, engineers, and designers translate principles into practice. We concluded that this method of closure is currently ineffective as almost all existing translational tools and methods are either too flexible or too strict. This raised the question: if, even with technical guidance, AI ethics is challenging to embed in the process of algorithmic design, is the entire pro-ethical design endeavour rendered futile? And, if no, then how can AI ethics be made useful for AI practitioners? This is the question we seek to address here by exploring why principles and technical translational tools are still needed even if they are limited, and how these limitations can be potentially overcome by providing theoretical grounding of a concept that has been termed ‘Ethics as a Service.’. (shrink)

This study seeks to explicate the philosophical foundations and theoretical outlines of grey systems theory by focusing on human perception, cognition, and understanding processes and by considering their functions in the process of producing knowledge. Primarily, the study investigates the processes of perception, cognition, and understanding, as well as their dynamicity. Then, it is explained how knowledge is produced through the interpretation/understanding of information and data and through the dynamicity governing this process. The findings reveal that human perception, cognition, and (...) understanding perpetually remain grey and imperfect, while lost sensatory data mark the very first aspect of greyness in such human capabilities. Furthermore, any piece of data, as a discrete and single entity, represents a determinate fact, symbol or signal from the world, while any set of data, no matter how large, remains incomplete and imperfect, and human beings always interpret inadequate sets of data in the world. Therefore, information and knowledge always remain grey and uncertain because they deeply rely on subjective understandings/interpretations and work with imperfect inputs and sets of data. The impact of knowledge on action and interaction and their effects on the world are some factors adding to the dynamicity of the world. Constant change in world data, outdated knowledge, defects in datasets, and human biases in understanding all confirm the infinitely grey nature of human knowledge of the world. (shrink)

Software systems play an ever more important role in our lives and software engineers and their companies find themselves in a position where they are held responsible for ethical issues that may arise. In this paper, we try to disentangle ethical considerations that can be performed at the level of the software engineer from those that belong in the wider domain of business ethics. The handling of ethical problems that fall into the responsibility of the engineer has traditionally been addressed (...) by the publication of Codes of Ethics and Conduct. We argue that these Codes are barely able to provide normative orientation in software development. The main contribution of this paper is, thus, to analyze the normative features of Codes of Ethics in software engineering and to explicate how their value-based approach might prevent their usefulness from a normative perspective. Codes of Conduct cannot replace ethical deliberation because they do not and cannot offer guidance because of their underdetermined nature. This lack of orientation, we argue, triggers reactive behavior such as “cherry-picking,” “risk of indifference,” “ex-post orientation,” and the “desire to rely on gut feeling.” In the light of this, we propose to implement ethical deliberation within software development teams as a way out. (shrink)

There is a wealth of resources— ideas, insights, discoveries, inventions, traditions, cultures, languages, arts, religions, sciences, narratives, stories, poems, customs and norms, music and songs, games and personal experiences, and advertisements—that we produce, curate, consume, transmit, and inherit as humans. This wealth, which I define as semantic capital, gives meaning to, and makes sense of, our own existence and the world surrounding us. It defines who we are and enables humans to develop an individual and social life. This paper discusses (...) the shift from analog to digital semantic capital, and the extent to which this might affect the semanticisation of our identities, our lives and our realities. -/- . (shrink)

The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, what (...) theory can explain the process of moral reasoning, decision and action, for AI entities in virtual, simulated and real-life moral scenarios? This thesis answers these two research questions with its two main contributions to the field of AI ethics, a substantial and a methodological contribution. The substantial contribution is a coherent and novel theory named Ethics of Systems Framework, as well as a possible inception of a new field of study: ethics of systems. The methodological contribution is the creation of its main methodological tool, the Ethics of Systems Interface. The second part of the research effort was focused on testing and demonstrating the capacities of the Ethics of Systems Framework and Interface in modeling and managing moral scenarios in which AI and other entities participate. Further work can focus on building on top of the foundations of the Framework provided here, increasing the scope of moral theories and simulated scenarios, improving the level of detail and parameters to reflect real-life situations, and field-testing the Framework on actual AI systems. (shrink)