No fight over what gets taught in American classrooms is more heated than the battle over humanity’s origins. For more than a century we have argued about evolutionary theory and creationism (and its successor theory, intelligent design), yet we seem no closer to a resolution than we were in Darwin’s day. In this thoughtful examination of how we teach origins, historian Adam Laats and philosopher Harvey Siegel offer crucial new ways to think not just about the evolution debate (...) but how science and religion can make peace in the classroom. Laats and Siegel agree with most scientists: creationism is flawed, as science. But, they argue, students who believe it nevertheless need to be accommodated in public school science classes. Scientific or not, creationism maintains an important role in American history and culture as a point of religious dissent, a sustained form of protest that has weathered a century of broad—and often dramatic—social changes. At the same time, evolutionary theory has become a critical building block of modern knowledge. The key to accommodating both viewpoints, they show, is to disentangle belief from knowledge. A student does not need to believe in evolution in order to understand its tenets and evidence, and in this way can be fully literate in modern scientific thought and still maintain contrary religious or cultural views. Altogether, Laats and Siegel offer the kind of level-headed analysis that is crucial to finding a way out of our culture-war deadlock. (shrink)

Positive review of Laats and Siegel (2016) *Teaching Evolution in a Creation Nation* (University of Chicago Press).

Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Would transparency contribute to restoring accountability for such systems as is often maintained? Several objections to full transparency are examined: the loss of privacy when datasets become public, the perverse effects of disclosure of the very algorithms themselves, the potential loss of companies’ competitive edge, and the limited gains in answerability to be expected since sophisticated algorithms usually are (...) inherently opaque. It is concluded that, at least presently, full transparency for oversight bodies alone is the only feasible option; extending it to the public at large is normally not advisable. Moreover, it is argued that algorithmic decisions preferably should become more understandable; to that effect, the models of machine learning to be employed should either be interpreted ex post or be interpretable by design ex ante. (shrink)

The ideas behind open source software are currently applied to the production of encyclopedias. A sample of six English text-based, neutral-point-of-view, online encyclopedias of the kind are identified: h2g2, Wikipedia, Scholarpedia, Encyclopedia of Earth, Citizendium and Knol. How do these projects deal with the problem of trusting their participants to behave as competent and loyal encyclopedists? Editorial policies for soliciting and processing content are shown to range from high discretion to low discretion; that is, from granting unlimited trust to limited (...) trust. Their conceptions of the proper role for experts are also explored and it is argued that to a great extent they determine editorial policies. Subsequently, internal discussions about quality guarantee at Wikipedia are rendered. All indications are that review and ?super-review? of new edits will become policy, to be performed by Wikipedians with a better reputation. Finally, while for encyclopedias the issue of organizational trust largely coincides with epistemological trust, a link is made with theories about the acceptance of testimony. It is argued that both non-reductionist views (the ?acceptance principle? and the ?assurance view?) and reductionist ones (an appeal to background conditions, and a?newly defined??expertise view?) have been implemented in editorial strategies over the past decade. (shrink)

Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Would transparency contribute to restoring accountability for such systems as is often maintained? Several objections to full transparency are examined: the loss of privacy when datasets become public, the perverse effects of disclosure of the very algorithms themselves (“gaming the system” in particular), the potential loss of companies’ competitive edge, and the limited gains in answerability to be expected (...) since sophisticated algorithms usually are inherently opaque. It is concluded that, at least presently, full transparency for oversight bodies alone is the only feasible option; extending it to the public at large is normally not advisable. Moreover, it is argued that algorithmic decisions preferably should become more understandable; to that effect, the models of machine learning to be employed should either be interpreted ex post or be interpretable by design ex ante. (shrink)

The term ‘responsible AI’ has been coined to denote AI that is fair and non-biased, transparent and explainable, secure and safe, privacy-proof, accountable, and to the benefit of mankind. Since 2016, a great many organizations have pledged allegiance to such principles. Amongst them are 24 AI companies that did so by posting a commitment of the kind on their website and/or by joining the ‘Partnership on AI’. By means of a comprehensive web search, two questions are addressed by this study: (...) Did the signatory companies actually try to implement these principles in practice, and if so, how? What are their views on the role of other societal actors in steering AI towards the stated principles? It is concluded that some three of the largest amongst them have carried out valuable steps towards implementation, in particular by developing and open sourcing new software tools. To them, charges of mere ‘ethics washing’ do not apply. Moreover, some 10 companies from both the USA and Europe have publicly endorsed the position that apart from self-regulation, AI is in urgent need of governmental regulation. They mostly advocate focussing regulation on high-risk applications of AI, a policy which to them represents the sensible middle course between laissez-faire on the one hand and outright bans on technologies on the other. The future shaping of standards, ethical codes, and laws as a result of these regulatory efforts remains, of course, to be determined. (shrink)

Algorithmic decision-making based on profiling may significantly affect people’s destinies. As a rule, however, explanations for such decisions are lacking. What are the chances for a “right to explanation” to be realized soon? After an exploration of the regulatory efforts that are currently pushing for such a right it is concluded that, at the moment, the GDPR stands out as the main force to be reckoned with. In cases of profiling, data subjects are granted the right to receive meaningful information (...) about the functionality of the system in use; for fully automated profiling decisions even an explanation has to be given. However, the trade secrets and intellectual property rights (IPRs) involved must be respected as well. These conflicting rights must be balanced against each other; what will be the outcome? Looking back to 1995, when a similar kind of balancing had been decreed in Europe concerning the right of access (DPD), Wachter et al. (2017) find that according to judicial opinion only generalities of the algorithm had to be disclosed, not specific details. This hardly augurs well for a future right of access let alone to explanation. Thereupon the landscape of IPRs for machine learning (ML) is analysed. Spurred by new USPTO guidelines that clarify when inventions are eligible to be patented, the number of patent applications in the US related to ML in general, and to “predictive analytics” in particular, has soared since 2010—and Europe has followed. I conjecture that in such a climate of intensified protection of intellectual property, companies may legitimately claim that the more their application combines several ML assets that, in addition, are useful in multiple sectors, the more value is at stake when confronted with a call for explanation by data subjects. Consequently, the right to explanation may be severely crippled. (shrink)

Big Data are increasingly used in machine learning in order to create predictive models. How are predictive practices that use such models to be situated? In the field of surveillance studies many of its practitioners assert that “governance by discipline” has given way to “governance by risk”. The individual is dissolved into his/her constituent data and no longer addressed. I argue that, on the contrary, in most of the contexts where predictive modelling is used, it constitutes Foucauldian discipline. Compliance to (...) a norm occupies centre stage; suspected deviants are subjected to close attention—as the precursor of possible sanctions. The predictive modelling involved uses personal data from both the focal institution and elsewhere. As a result, the individual re-emerges as the focus of scrutiny. Subsequently, small excursions into Foucauldian texts discuss his discourses on the creation of the “delinquent”, and on the governmental approach to smallpox epidemics. It is shown that his insights only mildly resemble prediction as based on machine learning; several conceptual steps had to be taken for modern machine learning to evolve. Finally, the options available to those subjected to predictive disciplining are discussed: to what extent can they comply, question, or resist? Through a discussion of the concepts of transparency and “gaming the system” I conclude that our predicament is gloomy, in a Kafkaesque fashion. (shrink)

Can trust evolve on the Internet between virtual strangers? Recently, Pettit answered this question in the negative. Focusing on trust in the sense of ‘dynamic, interactive, and trusting’ reliance on other people, he distinguishes between two forms of trust: primary trust rests on the belief that the other is trustworthy, while the more subtle secondary kind of trust is premised on the belief that the other cherishes one’s esteem, and will, therefore, reply to an act of trust in kind (‘trust-responsiveness’). (...) Based on this theory Pettit argues that trust between virtual strangers is impossible: they lack all evidence about one another, which prevents the imputation of trustworthiness and renders the reliance on trust-responsiveness ridiculous. I argue that this argument is flawed, both empirically and theoretically. In several virtual communities amazing acts of trust between pure virtuals have been observed. I propose that these can be explained as follows. On the one hand, social cues, reputation, reliance on third parties, and participation in (quasi-) institutions allow imputing trustworthiness to varying degrees. On the other, precisely trust-responsiveness is also relied upon, as a necessary supplement to primary trust. In virtual markets, esteem as a fair trader is coveted while it contributes to building up one’s reputation. In task groups, a hyperactive style of action may be adopted which amounts to assuming (not: inferring) trust. Trustors expect that their virtual co-workers will reply in kind while such an approach is to be considered the most appropriate in cyberspace. In non-task groups, finally, members often display intimacies while they are confident someone else ‘out there’ will return them. This is facilitated by the one-to-many, asynchronous mode of communication within mailing lists. (shrink)

Open-source communities that focus on content rely squarely on the contributions of invisible strangers in cyberspace. How do such communities handle the problem of trusting that strangers have good intentions and adequate competence? This question is explored in relation to communities in which such trust is a vital issue: peer production of software (FreeBSD and Mozilla in particular) and encyclopaedia entries (Wikipedia in particular). In the context of open-source software, it is argued that trust was inferred from an underlying ‘hacker (...) ethic’, which already existed. The Wikipedian project, by contrast, had to create an appropriate ethic along the way. In the interim, the assumption simply had to be that potential contributors were trustworthy; they were granted ‘substantial trust’. Subsequently, projects from both communities introduced rules and regulations which partly substituted for the need to perceive contributors as trustworthy. They faced a design choice in the continuum between a high-discretion design (granting a large amount of trust to contributors) and a low-discretion design (leaving only a small amount of trust to contributors). It is found that open-source designs for software and encyclopaedias are likely to converge in the future towards a mid-level of discretion. In such a design the anonymous user is no longer invested with unquestioning trust. (shrink)

English - language Wikipedia is constantly being plagued by vandalistic contributions on a massive scale. In order to fight them its volunteer contributors deploy an array of software tools and autonomous bots. After an analysis of their functioning and the ‘ coactivity ’ in use between humans and bots, this research ‘ discloses ’ the moral issues that emerge from the combined patrolling by humans and bots. Administrators provide the stronger tools only to trusted users, thereby creating a new hierarchical (...) layer. Further, surveillance exhibits several troubling features : questionable profiling practices, the use of the controversial measure of reputation, ‘ oversurveillance ’ where quantity trumps quality, and a prospective loss of the required moral skills whenever bots take over from humans. The most troubling aspect, though, is that Wikipedia has become a Janus - faced institution. One face is the basic platform of MediaWiki software, transparent to all. Its other face is the anti - vandalism system, which, in contrast, is opaque to the average user, in particular as a result of the algorithms and neural networks in use. Finally it is argued that this secrecy impedes a much needed discussion to unfold ; a discussion that should focus on a ‘ rebalancing ’ of the anti - vandalism system and the development of more ethical information practices towards contributors. (shrink)

Open-content communities that focus on co-creation without requirements for entry have to face the issue of institutional trust in contributors. This research investigates the various ways in which these communities manage this issue. It is shown that communities of open-source software—continue to—rely mainly on hierarchy (reserving write-access for higher echelons), which substitutes (the need for) trust. Encyclopedic communities, though, largely avoid this solution. In the particular case of Wikipedia, which is confronted with persistent vandalism, another arrangement has been pioneered instead. (...) Trust (i.e. full write-access) is ‘backgrounded’ by means of a permanent mobilization of Wikipedians to monitor incoming edits. Computational approaches have been developed for the purpose, yielding both sophisticated monitoring tools that are used by human patrollers, and bots that operate autonomously. Measures of reputation are also under investigation within Wikipedia; their incorporation in monitoring efforts, as an indicator of the trustworthiness of editors, is envisaged. These collective monitoring efforts are interpreted as focusing on avoiding possible damage being inflicted on Wikipedian spaces, thereby being allowed to keep the discretionary powers of editing intact for all users. Further, the essential differences between backgrounding and substituting trust are elaborated. Finally it is argued that the Wikipedian monitoring of new edits, especially by its heavy reliance on computational tools, raises a number of moral questions that need to be answered urgently. (shrink)

Open-source communities that focus on content rely squarely on the contributions of invisible strangers in cyberspace. How do such communities handle the problem of trusting that strangers have good intentions and adequate competence? This question is explored in relation to communities in which such trust is a vital issue: peer production of software (FreeBSD and Mozilla in particular) and encyclopaedia entries (Wikipedia in particular). In the context of open-source software, it is argued that trust was inferred from an underlying ‘hacker (...) ethic’, which already existed. The Wikipedian project, by contrast, had to create an appropriate ethic along the way. In the interim, the assumption simply had to be that potential contributors were trustworthy; they were granted ‘substantial trust’. Subsequently, projects from both communities introduced rules and regulations which partly substituted for the need to perceive contributors as trustworthy. They faced a design choice in the continuum between a high-discretion design (granting a large amount of trust to contributors) and a low-discretion design (leaving only a small amount of trust to contributors). It is found that open-source designs for software and encyclopaedias are likely to converge in the future towards a mid-level of discretion. In such a design the anonymous user is no longer invested with unquestioning trust. (shrink)

In communities of user-generated content, systems for the management of content and/or their contributors are usually accepted without much protest. Not so, however, in the case of Wikipedia, in which the proposal to introduce a system of review for new edits (in order to counter vandalism) led to heated discussions. This debate is analysed, and arguments of both supporters and opponents (of English, German and French tongue) are extracted from Wikipedian archives. In order to better understand this division of the (...) minds, an analogy is drawn with theories of bureaucracy as developed for real-life organizations. From these it transpires that bureaucratic rules may be perceived as springing from either a control logic or an enabling logic. In Wikipedia, then, both perceptions were at work, depending on the underlying views of participants. Wikipedians either rejected the proposed scheme (because it is antithetical to their conception of Wikipedia as a community) or endorsed it (because it is consonant with their conception of Wikipedia as an organization with clearly defined boundaries). Are other open-content communities susceptible to the same kind of ‘essential contestation’? (shrink)

Can trust evolve on the Internet between virtual strangers? Recently, Pettit answered this question in the negative. Focusing on trust in the sense of ‘dynamic, interactive, and trusting’ reliance on other people, he distinguishes between two forms of trust: primary trust rests on the belief that the other is trustworthy, while the more subtle secondary kind of trust is premised on the belief that the other cherishes one’s esteem, and will, therefore, reply to an act of trust in kind (‘trust-responsiveness’). (...) Based on this theory Pettit argues that trust between virtual strangers is impossible: they lack all evidence about one another, which prevents the imputation of trustworthiness and renders the reliance on trust-responsiveness ridiculous. I argue that this argument is flawed, both empirically and theoretically. In several virtual communities amazing acts of trust between pure virtuals have been observed. I propose that these can be explained as follows. On the one hand, social cues, reputation, reliance on third parties, and participation in (quasi-) institutions allow imputing trustworthiness to varying degrees. On the other, precisely trust-responsiveness is also relied upon, as a necessary supplement to primary trust. In virtual markets, esteem as a fair trader is coveted while it contributes to building up one’s reputation. In task groups, a hyperactive style of action may be adopted which amounts to assuming (not: inferring) trust. Trustors expect that their virtual co-workers will reply in kind while such an approach is to be considered the most appropriate in cyberspace. In non-task groups, finally, members often display intimacies while they are confident someone else ‘out there’ will return them. This is facilitated by the one-to-many, asynchronous mode of communication within mailing lists. (shrink)

How may human agents come to trust artificial agents? At present, since the trust involved is non-normative, this would seem to be a slow process, depending on the outcomes of the transactions. Some more options may soon become available though. As debated in the literature, humans may meet bots as they are embedded in an institution. If they happen to trust the institution, they will also trust them to have tried out and tested the machines in their back corridors; as (...) a consequence, they approach the robots involved as being trustworthy. Properly speaking, users rely on the overall accountability of the institution. Besides this option we explore some novel ways for trust development: trust becomes normatively laden and thereby the mechanism of exclusive reliance on the normative force of trust may come into play - the efficacy of which has already been proven for persons meeting face-to-face or over the Internet. For one thing, machines may evolve into moral machines, or machines skilled in the art of deception. While both developments might seem to facilitate proper trust and turn as-if trust into a feasible option, they are hardly to be taken seriously. For another, the new trend in robotics is towards coactivity between human and machine operators in a team. Inside the team trust is a necessity for smooth operations. In support of this, humans in particular need to be able to develop and maintain accurate mental models of their machine counterparts. Nevertheless, the trust involved is bound to remain non-normative. It is argued, though, that excellent opportunities exist to build relations of trust toward outside users who are pondering their reliance on the coactive team. The task of managing this trust has to be allotted to human operators of the team, who operate as linking pin between the outside world and the team. Since the robotic team has now been turned into an anthropomorphic team, users may well develop normative trust towards them; correspondingly, trusting the team in as-if fashion becomes feasible. (shrink)

Trust between transaction partners in cyberspace has come to be considered a distinct possibility. In this article the focus is on the conditions for its creation by way of assuming, not inferring trust. After a survey of its development over the years (in the writings of authors like Luhmann, Baier, Gambetta, and Pettit), this mechanism of trust is explored in a study of personal journal blogs. After a brief presentation of some technicalities of blogging and authors’ motives for writing their (...) diaries, I try to answer the question, ‘Why do the overwhelming majority of web diarists dare to expose the intimate details of their lives to the world at large?’ It is argued that the mechanism of assuming trust is at play: authors simply assume that future visitors to their blog will be sympathetic readers, worthy of their intimacies. This assumption then may create a self-fulfilling cycle of mutual admiration. Thereupon, this phenomenon of blogging about one’s intimacies is linked to Calvert’s theory of ‘mediated voyeurism’ and Mathiesen’s notion of ‘synopticism’. It is to be interpreted as a form of ‘empowering exhibitionism’ that reaffirms subjectivity. Various types of ‘synopticon’ are distinguished, each drawing the line between public and private differently. In the most ‘radical’ synopticon blogging proceeds in total transparency and the concept of privacy is declared obsolete; the societal gaze of surveillance is proudly returned and nullified. Finally it is shown that, in practice, these conceptions of blogging are put to a severe test, while authors often have to cope with known people from ‘real life’ complaining, and with ‘trolling’ strangers. (shrink)

Many virtual communities that rely on user-generated content (such as social news sites, citizen journals, and encyclopedias in particular) offer unrestricted and immediate ‘write access’ to every contributor. It is argued that these communities do not just assume that the trust granted by that policy is well-placed; they have developed extensive mechanisms that underpin the trust involved (‘backgrounding’). These target contributors (stipulating legal terms of use and developing etiquette, both underscored by sanctions) as well as the contents contributed by them (...) (patrolling for illegal and/or vandalist content, variously performed by humans and bots; voting schemes). Backgrounding trust is argued to be important since it facilitates the avoidance of bureaucratic measures that may easily cause unrest among community members and chase them away. (shrink)

Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Can transparency contribute to restoring accountability for such systems? Several objections are examined: the loss of privacy when data sets become public, the perverse effects of disclosure of the very algorithms themselves, the potential loss of competitive edge, and the limited gains in answerability to be expected since sophisticated algorithms are inherently opaque. It is concluded that transparency is (...) certainly useful, but only up to a point: extending it to the public at large is normally not to be advised. Moreover, in order to make algorithmic decisions understandable, models of machine learning to be used should either be interpreted ex post or be interpretable by design ex ante. (shrink)

In order to fight massive vandalism the English- language Wikipedia has developed a system of surveillance which is carried out by humans and bots, supported by various tools. Central to the selection of edits for inspection is the process of using filters or profiles. Can this profiling be justified? On the basis of a careful reading of Frederick Schauer’s books about rules in general (1991) and profiling in particular (2003) I arrive at several conclusions. The effectiveness, efficiency, and risk-aversion of (...) edit selection all greatly increase as a result. The argument for increasing predictability suggests making all details of profiling manifestly public. Also, a wider distribution of the more sophisticated anti-vandalism tools seems indicated. As to the specific dimensions used in profiling, several critical remarks are developed. When patrollers use ‘assisted edit- ing’ tools, severe ‘overuse’ of several features (anonymity, warned before) is a definite possibility, undermining profile efficacy. The easy remedy suggested is to render all of them invisible on the interfaces as displayed to patrollers. Finally, concerning not only assisted editing tools but tools against vandalism generally, it is argued that the anonymity feature is a sensitive category: anons have been in dispute for a long time (while being more prone to vandalism). Targeting them as a special category violates the social contract upon which Wikipedia is based. The feature is therefore a candidate for mandatory ‘underuse’: it should be banned from all anti-vandalism filters and profiling algorithms, and no longer be visible as a special edit trait. (shrink)

Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek power, that (...) they might obtain it, that this could lead to catastrophe, and that we might build and deploy such systems anyway. The second argument claims that the development of human-level AI will unlock rapid further progress, culminating in AI systems far more capable than any human — this is the Singularity Hypothesis. Power-seeking behavior on the part of such systems might be particularly dangerous. We discuss a variety of objections to both arguments and conclude by assessing the state of the debate. (shrink)

Hacker communities of the 1970s and 1980s developed a quite characteristic work ethos. Its norms are explored and shown to be quite similar to those which Robert Merton suggested govern academic life: communism, universalism, disinterestedness, and organized scepticism. In the 1990s the Internet multiplied the scale of these communities, allowing them to create successful software programs like Linux and Apache. After renaming themselves the `open source software' movement, with an emphasis on software quality, they succeeded in gaining corporate interest. As (...) one of the main results, their `open' practices have entered industrial software production. The resulting clash of cultures, between the more academic CUDOS norms and their corporate counterparts, is discussed and assessed. In all, the article shows that software practices are a fascinating seedbed for the genesis of work ethics of various kinds, depending on their societal context. (shrink)

In `real' space, third partieshave always been useful to facilitatetransactions. With cyberspace opening up, it isto be expected that intermediation will alsodevelop in a virtual fashion. The articlefocuses upon new cyberroles for third partiesthat seem to announce themselves clearly.First, virtualization of the market place haspaved the way for `cybermediaries', who brokerbetween supply and demand of material andinformational goods. Secondly,cybercommunication has created newuncertainties concerning informational securityand privacy. Also, as in real space,transacting supposes some decency with one'spartners. These needs are being addressed (...) byTrusted Third Parties, anonymizers, escrowarrangements, facilitators and externalauditing. Virtual reputation trackingmechanisms are being developed as well.Finally, in order to resolve disputes,mediators and arbitrators have started offeringtheir services online. In the closing sectionthese emerging cyberroles are assessedcritically. It is argued in particular, thatboth cybermediaries and cyberjustice poseserious threats to privacy. Moreover, onlinedispute resolution, as it is practised now,neglects its duties of public accounting. (shrink)

Two property regimes for software development may be distinguished. Within corporations, on the one hand, a Private Regime obtains which excludes all outsiders from access to a firm's software assets. It is shown how the protective instruments of secrecy and both copyright and patent have been strengthened considerably during the last two decades. On the other, a Public Regime among hackers may be distinguished, initiated by individuals, organizations or firms, in which source code is freely exchanged. It is argued that (...) copyright is put to novel use here: claiming their rights, authors write `open source licenses' that allow public usage of the code, while at the same time regulating the inclusion of users. A `regulated commons' is created. The analysis focuses successively on the most important open source licenses to emerge, the problem of possible incompatibility between them (especially as far as the dominant General Public License is concerned), and the fragmentation into several user communities that may result. (shrink)

The foundation for a system of morals, this 1749 work is a landmark of moral and political thought. Its highly original theories of conscience, moral judgment, and virtue offer a reconstruction of the Enlightenment concept of social science, embracing both political economy and theories of law and government.

During the two last decades, speeded up by the development of the Internet, several types of commons have been opened up for intellectual resources. In this article their variety is being explored as to the kind of resources and the type of regulation involved. The open source software movement initiated the phenomenon, by creating a copyright-based commons of source code that can be labelled `dynamic': allowing both use and modification of resources. Additionally, such a commons may be either protected from (...) appropriation (by `copyleft' licensing), or unprotected. Around the year 2000, this approach was generalized by the Creative Commons initiative. In the process they added a `static' commons, in which only use of resources is allowed. This mould was applied to the sciences and the humanities in particular, and various Open Access initiatives unfolded. A final aspect of copyright-based commons is the distinction between active and passive commons: while the latter is only a site for obtaining resources, the former is also a site for production of new resources by communities of volunteers (`peer production'). Finally, several patent commons are discussed, which mainly aim at preventing patents blocking the further development of science. Throughout, attention is drawn to interrelationships between the various commons. (shrink)

A scholarly edition of a work by Adam Smith. The edition presents an authoritative text, together with an introduction, commentary notes, and scholarly apparatus.

How may human agents come to trust (sophisticated) artificial agents? At present, since the trust involved is non-normative, this would seem to be a slow process, depending on the outcomes of the transactions. Some more options may soon become available though. As debated in the literature, humans may meet (ro)bots as they are embedded in an institution. If they happen to trust the institution, they will also trust them to have tried out and tested the machines in their back corridors; (...) as a consequence, they approach the robots involved as being trustworthy (“zones of trust”). Properly speaking, users rely on the overall accountability of the institution. Besides this option we explore some novel ways for trust development: trust becomes normatively laden and thereby the mechanism of exclusive reliance on the normative force of trust (as-if trust) may come into play - the efficacy of which has already been proven for persons meeting face-to-face or over the Internet (virtual trust). For one thing, machines may evolve into moral machines, or machines skilled in the art of deception. While both developments might seem to facilitate proper trust and turn as-if trust into a feasible option, they are hardly to be taken seriously (while being science-fiction, immoral, or both). For another, the new trend in robotics is towards coactivity between human and machine operators in a team (away from making robots as autonomous as possible). Inside the team trust is a necessity for smooth operations. In support of this, humans in particular need to be able to develop and maintain accurate mental models of their machine counterparts. Nevertheless, the trust involved is bound to remain nonnormative. It is argued, though, that excellent opportunities exist to build relations of trust toward outside users who are pondering their reliance on the coactive team. The task of managing this trust has to be allotted to human operators of the team, who operate as linking pin between the outside world and the team. Since the robotic team has now been turned into an anthropomorphic team, users may well develop normative trust towards them; correspondingly, trusting the team in as-if fashion becomes feasible. (shrink)

Toward an ontology of the social-historical -- Proto-institutions and epistemological encounters -- Anthropological aspects of subjectivity: the radical imagination -- Hermeneutical horizons of meaning -- The rediscovery of physis -- Objective knowledge in review -- Rethinking the world of the living being -- Reimaging cosmology -- Conclusion: the circle of creation.

This thoughtful new abridgment is enriched by the brilliant commentary which accompanies it. In it, Laurence Dickey argues that the _Wealth of Nations_ contains--and conceals--a great deal of how Smith actually thought a commercial society works. Guided by his conviction that the so-called Adam Smith Problem--the relationship between ethics and economics in Smith's thinking--is a core element in the argument of the work itself, Dickey's commentary focuses on the devices Smith uses to ground his economics in broadly ethical and (...) social categories. An unparalleled guide to an often difficult and perplexing work. (shrink)

With massive corruption uncovered in numerous recent corporate scandals, investigating psychological processes underlying unethical behavior among employees has become a critical area of research for organizational scientists. This article seeks to explain why people engage in deceptive and fraudulent activities by focusing on the use of moral-disengagement tactics or rationalizations to justify egregious actions at work. In addition, participation in goal-setting is argued to attenuate the relationship between moral disengagement and unethical behavior. Across two studies, a lab simulation and field (...) survey, a measure of moral disengagement was developed for use with working adults. The hypothesized main and interactive effects of moral disengagement, participation, and unethical behavior were tested and largely confirmed. (shrink)

People’s beliefs about normality play an important role in many aspects of cognition and life (e.g., causal cognition, linguistic semantics, cooperative behavior). But how do people determine what sorts of things are normal in the first place? Past research has studied both people’s representations of statistical norms (e.g., the average) and their representations of prescriptive norms (e.g., the ideal). Four studies suggest that people’s notion of normality incorporates both of these types of norms. In particular, people’s representations of what is (...) normal were found to be influenced both by what they believed to be descriptively average and by what they believed to be prescriptively ideal. This is shown across three domains: people’s use of the word ‘‘normal” (Study 1), their use of gradable adjectives (Study 2), and their judgments of concept prototypicality (Study 3). A final study investigated the learning of normality for a novel category, showing that people actively combine statistical and prescriptive information they have learned into an undifferentiated notion of what is normal (Study 4). Taken together, these findings may help to explain how moral norms impact the acquisition of normality and, conversely, how normality impacts the acquisition of moral norms. (shrink)

This chapter provides empirical evidence about everyday attitudes concerning euthanasia. These attitudes have important implications for some ethical arguments about euthanasia. Two experiments suggested that some different descriptions of euthanasia have modest effects on people’s moral permissibility judgments regarding euthanasia. Experiment 1 (N = 422) used two different types of materials (scenarios and scales) and found that describing euthanasia differently (‘euthanasia’, ‘aid in dying’, and ‘physician assisted suicide’) had modest effects (≈3 % of the total variance) on permissibility judgments. These (...) effects were largely replicated in Experiment 2 (N = 409). However, in Experiment 2, judgments about euthanasia’s moral permissibility were best predicted by the voluntariness of the treatment. Voluntariness was a stronger predictor than some demographic factors and some domain general elements of moral judgments. These results help inform some debates about the moral permissibility of euthanasia (e.g., the slippery slope argument) suggesting that some of the key premises of those arguments are unwarranted. (shrink)

Trust between transaction partners in cyberspace has come to be considered a distinct possibility. In this article the focus is on the conditions for its creation by way of assuming, not inferring trust. After a survey of its development over the years (in the writings of authors like Luhmann, Baier, Gambetta, and Pettit), this mechanism of trust is explored in a study of personal journal blogs. After a brief presentation of some technicalities of blogging and authors’ motives for writing their (...) diaries, I try to answer the question, ‘Why do the overwhelming majority of web diarists dare to expose the intimate details of their lives to the world at large?’ It is argued that the mechanism of assuming trust is at play: authors simply assume that future visitors to their blog will be sympathetic readers, worthy of their intimacies. This assumption then may create a self-fulfilling cycle of mutual admiration. Thereupon, this phenomenon of blogging about one’s intimacies is linked to Calvert’s theory of ‘mediated voyeurism’ and Mathiesen’s notion of ‘synopticism’. It is to be interpreted as a form of ‘empowering exhibitionism’ that reaffirms subjectivity. Various types of ‘synopticon’ are distinguished, each drawing the line between public and private differently. In the most ‘radical’ synopticon blogging proceeds in total transparency and the concept of privacy is declared obsolete; the societal gaze of surveillance is proudly returned and nullified. Finally it is shown that, in practice, these conceptions of blogging are put to a severe test, while authors often have to cope with known people from ‘real life’ complaining, and with ‘trolling’ strangers. (shrink)

A simple argument suggests that we can fruitfully model advanced AI systems using expected utility theory. According to this argument, an agent will need to act as if maximising expected utility if they’re to avoid exploitation. Insofar as we should expect advanced AI to avoid exploitation, it follows that we should expected advanced AI to act as if maximising expected utility. I spell out this argument more carefully and demonstrate that it fails, but show that the manner of its failure (...) is instructive: in exploring the argument, we gain insight into how to model advanced AI systems. (shrink)

Quantum mechanics is humanity's finest scientific achievement. It explains why the sun shines and how your eyes can see. It's the theory behind the LEDs in your phone and the nuclear hearts of space probes. Every physicist agrees quantum physics is spectacularly successful. But ask them what quantum physics means, and the result will be a brawl. At stake is the nature of the Universe itself. What does it mean for something to be real? What is the role of consciousness (...) in the Universe? And do quantum rules apply to very small objects like electrons and protons, but not us? In What is Real?, Adam Becker brings to vivid life the brave researchers whose quest for the truth led them to challenge Bohr: David Bohm, who picked up Einstein's mantle and sought to make quantum mechanics deterministic, all while being hounded by the forces of McCarthyism; Hugh Everett, who argued that everything, big and small, must be governed by the same rules; and John Bell, who went to great lengths to eradicate the power of the god-like observer from the core of quantum physics. And they paid dearly, their reputations, careers, and sometimes lives ruined completely. But history has been kinder to them than their contemporaries were. As Becker shows, the brave intellectual giants have inspired a growing army of physicists and philosophers intent both on making a philosophically more satisfying theory of the universe and a more useful one as well. A gripping story of some of humanity's greatest ideas and the high cost with which many have pursued them, What is Real? is intellectual history at its passionate best. (shrink)

Four studies explored people's judgments about whether particular types of behavior are compatible with determinism. Participants read a passage describing a deterministic universe, in which everything that happens is fully caused by whatever happened before it. They then assessed the degree to which different behaviors were possible in such a universe. Other participants evaluated the extent to which each of these behaviors had various features. We assessed the extent to which these features predicted judgments about whether the behaviors were possible (...) in a deterministic universe. Experiments 1 and 2 found that people's judgments about whether a behavior was compatible with determinism were not predicted by their judgments about whether that behavior relies on physical processes in the brain and body, is uniquely human, is unpredictable, or involves reasoning. Experiment 3, however, found that a distinction between what we call “active” and “passive” behaviors can explain people's judgments. Experiment 4 extended these findings, showing that we can measure this distinction in several ways and that it is robustly predicted by two different cues. Taken together, these results suggest that people carve up mentally guided behavior into two distinct types—understanding one type to be compatible with determinism, but another type to be fundamentally incompatible with determinism. (shrink)

In Freedom: An Impossible Reality (FAIR), Raymond Tallis finds room in a law-abiding universe for a uniquely human form of agency, capable of envisioning and pursuing genuinely open possibilities, thereby deflecting rather than merely inflecting the course of events, in accordance with self-owned intentions, reasons and goals. He argues that the genuinely free human pursuit of such propositional attitudes depends on our acting from a “virtual outside”, at an epistemic distance from the physical world that reveals not only what is (...) the case, but that it is the case. The enactive approach in cognitive science and philosophy of mind aims to supersede the cognitivist traditional that has long dominated the field, by reframing cognition as an agentʼs immediate, embodied engagement with its environment. In an appendix of FAIR, Tallis argues that this approach risks both eliminating propositional attitudes, and collapsing the epistemic distance between agent and world. He concludes that if enactive theorists are to distinguish between genuinely pursuing an intention and merely responding to a stimulus, their corrective to cognitivism is in need of a correction of its own. This paper argues that such a correction is already to be found within the enactive literature, and furthermore, that it bears striking similarities to Tallis own account of what makes human agency unique. It is therefore concluded that the case for freedom set out in FAIR is compatible with the enactive approach. (shrink)

Introduction i. Adam Smith's Lectures at Glasgow University Adam Smith was elected to the Chair of Logic at Glasgow University on 9 January, and admitted to ...

Some philosophers argue that martial arts training is maladaptive, contributes to psychological illness, and provides a social harm, whereas others argue that martial arts training is adaptive, contributes to psychological wellness, and provides a social benefit. This debate is important to scholars and the general public since beliefs about martial arts training can have a real impact on how we evaluate martial artists for job opportunities and career advancement, and in general, how we treat martial artists from different cultures in (...) our communities. This debate is also important for children and adults that have considered enrolling in martial arts training programs but remain uncertain about potential outcomes of training due to the lack of research in this area. This article therefore contributes to the literature on martial arts by (1) outlining a framework that characterizes psychological well-being in terms of five elements, (2) discussing how results from empirical research support the hypothesis that Muay Thai training can contribute to psychological well-being by contributing to all five component elements, (3) discussing the psychological benefits of martial arts training from the perspective of an Everlast Master Instructor, and (4) discussing how martial arts training involves the cultivation of combat-relevant affordances. (shrink)

Orthodox decision theory gives no advice to agents who hold two goods to be incommensurate in value because such agents will have incomplete preferences. According to standard treatments, rationality requires complete preferences, so such agents are irrational. Experience shows, however, that incomplete preferences are ubiquitous in ordinary life. In this paper, we aim to do two things: (1) show that there is a good case for revising decision theory so as to allow it to apply non-vacuously to agents with incomplete (...) preferences, and (2) to identify one substantive criterion that any such non-standard decision theory must obey. Our criterion, Competitiveness, is a weaker version of a dominance principle. Despite its modesty, Competitiveness is incompatible with prospectism, a recently developed decision theory for agents with incomplete preferences. We spend the final part of the paper showing why Competitiveness should be retained, and prospectism rejected. (shrink)

Despite the ubiquity of knowledge attribution in human social cognition, its associated neural and cognitive mechanisms are poorly documented. A wealth of converging evidence in cognitive neuroscience has identified independent perspective-taking and inhibitory processes for belief attribution, but the extent to which these processes are shared by knowledge attribution isn't presently understood. Here, we present the findings of an EEG study designed to directly address this shortcoming. These findings suggest that belief attribution is not a component process in knowledge attribution, (...) contra a standard attitude taken by philosophers. Instead, observed differences in P3b amplitude indicate that knowledge attribution doesn't recruit the strong self-perspective inhibition characteristic of belief attribution. However, both belief and knowledge attribution were observed to display a late slow wave widely associated with mental state attribution, indicating that knowledge attribution also shares in more general processing of others' mental states. These results provide a new perspective both on how we think about knowledge attribution, as well as Theory of Mind processes generally. (shrink)

A more ethical economic system is now possible, one that rectifies the crisis spots of our current downturn while balancing the injustices of extreme poverty and wealth. Adam Arvidsson and Nicolai Peitersen, a scholar and an entrepreneur, outline the shape such an economy might take, identifying its origins in innovations already existent in our production, valuation, and distribution systems. Much like nineteenth-century entrepreneurs, philosophers, bankers, artisans, and social organizers who planned a course for modern capitalism that was more economically (...) efficient and ethically desirable, we now have a chance to construct new instruments, institutions, and infrastructure to reverse the trajectory of a quickly deteriorating economic environment. Considering a multitude of emerging phenomena, Arvidsson and Peitersen show wealth creation can be the result of a new kind of social production, and the motivation of continuous capital accumulation can exist in tandem with a new desire to maximize our social impact. Arvidsson and Peitersen argue that financial markets could become a central arena in which diverse ethical concerns are integrated into tangible economic valuations. They suggest that such a common standard has already emerged and that this process is linked to the spread of social media, making it possible to capture the sentiment of value to most people. They ultimately recommend how to build upon these developments to initiate a radical democratization of economic systems and the value decisions they generate. (shrink)

Epistemology and Relativism Epistemology is, roughly, the philosophical theory of knowledge, its nature and scope. What is the status of epistemological claims? Relativists regard the status of epistemological claims as, in some way, relative— that is to say, that the truths which epistemological claims aspire to are … Continue reading Epistemology and Relativism →.

Slurs possess interesting linguistic properties and so have recently attracted the attention of linguists and philosophers of language. For instance the racial slur "nigger" is explosively derogatory, enough so that just hearing it mentioned can leave one feeling as if they have been made complicit in a morally atrocious act.. Indeed, the very taboo nature of these words makes discussion of them typically prohibited or frowned upon. Although it is true that the utterance of slurs is illegitimate and derogatory in (...) most contexts, sufficient evidence suggests that slurs are not always or exclusively used to derogate. In fact, slurs are frequently picked up and appropriated by the very in-group members that the slur was originally intended to target. This might be done, for instance, as a means for like speakers to strengthen in-group solidarity. So an investigation into the meaning and use of slurs can give us crucial insight into how words can be used with such derogatory impact, and how they can be turned around and appropriated as vehicles of rapport in certain contexts among in-group speakers. In this essay I will argue that slurs are best characterized as being of a mixed descriptive/expressive type. Next, I will review the most influential accounts of slurs offered thus far, explain their shortcomings, then provide a new analysis of slurs and explain in what ways it is superior to others. Finally, I suggest that a family-resemblance conception of category membership can help us achieve a clearer understanding of the various ways in which slurs, for better or worse, are actually put to use in natural language discourse. (shrink)

It is widely held in philosophy that knowing is not a state of mind. On this view, rather than knowledge itself constituting a mental state, when we know, we occupy a belief state that exhibits some additional non-mental characteristics. Fascinatingly, however, new empirical findings from cognitive neuroscience and experimental philosophy now offer direct, converging evidence that the brain can—and often does—treat knowledge as if it is a mental state in its own right. While some might be tempted to keep the (...) metaphysics of epistemic states separate from the neurocognitive mechanics of our judgements about them, here I will argue that these empirical findings give us sufficient reason to conclude that knowledge is at least sometimes a mental state. The basis of this argument is the epistemological principle of neurocognitive parity—roughly, if the contents of a given judgement reflect the structure of knowledge, so do the neurocognitive mechanics that produced them. This principle, which I defend here, straightforwardly supports the inference from the empirical observation that the brain sometimes treats knowledge like a mental state to the epistemological conclusion that knowledge is at least sometimes a mental state. All told, the composite, belief-centric metaphysics of knowledge widely assumed in epistemology is almost certainly mistaken. (shrink)

The quest for freedom from hunger and repression has triggered in recent years a dramatic, worldwide reform of political and economic systems. Never have so many people enjoyed, or at least experimented with democratic institutions. However, many strategies for economic development in Eastern Europe and Latin America have failed with the result that entire economic systems on both continents are being transformed. This major book analyzes recent transitions to democracy and market-oriented economic reforms in Eastern Europe and Latin America. Drawing (...) in a quite distinctive way on models derived from political philosophy, economics, and game theory, Professor Przeworski also considers specific data on individual countries. Among the questions raised by the book are: What should we expect from these experiments in democracy and market economy? What new economic systems will emerge? Will these transitions result in new democracies or old dictatorships? (shrink)