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

In the past few years, the subject of AI rights—the thesis that AIs, robots, and other artefacts (hereafter, simply ‘AIs’) ought to be included in the sphere of moral concern—has started to receive serious attention from scholars. In this paper, I argue that the AI rights research program is beset by an epistemic problem that threatens to impede its progress—namely, a lack of a solution to the ‘Hard Problem’ of consciousness: the problem of explaining why certain brain states give rise (...) to experience. To motivate this claim, I consider three ways in which to ground AI rights—namely: superintelligence, empathy, and a capacity for consciousness. I argue that appeals to superintelligence and empathy are problematic, and that consciousness should be our central focus, as in the case of animal rights. However, I also argue that AI rights is disanalogous from animal rights in an important respect: animal rights can proceed without a solution to the ‘Hard Problem’ of consciousness. Not so with AI rights, I argue. There we cannot make the same kinds of assumptions that we do about animal consciousness, since we still do not understand why brain states give rise to conscious mental states in humans. (shrink)

According to some, such as Carruthers (2009, 2010, 2011, 2015), the confabulation data (experimental data showing subjects making false psychological self-ascriptions) undermine the view that we can know our propositional attitudes by introspection. He believes that these data favour his interpretive sensory-access (ISA) theory—the view that self-knowledge of our propositional attitudes always involves self-interpretation of our sensations, behaviour, or situational cues. This paper will review some of the confabulation data and conclude that the presence and pattern of these data do (...) not substantiate the claim that we cannot introspect our propositional attitudes. As a consequence of this discussion, I conclude that the ISA theory is not well supported by the empirical data. (shrink)

According to the Transparency Method, one can know whether one believes that P by attending to a question about the world—namely, ‘Is P true?’ On this view, one can know, for instance, whether one believes that Socrates was a Greek philosopher by attending to the question ‘Was Socrates a Greek philosopher?’ While many think that TM can account for the self-knowledge we can have of such a belief—and belief in general—fewer think that TM can be generalised to account for the (...) self-knowledge we can have of other propositional attitudes, such as our desires, intentions, wishes and so on. Call this the Generality Problem. In the present paper, I contrast my own attempt to solve the Generality Problem with several recent ones. I argue that in order to extend TM beyond belief, we must look to the concepts underpinning each kind of mental state. Doing so, I argue, reveals a series of outward-directed questions that can be attended to, in order to know what one desires, intends, wishes and so on. Call this the conceptual approach to extending TM. I support the conceptual approach in the present paper by showing how it generates Moore-Paradoxical sentences that are analogous to the case of belief. (shrink)

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

This paper contributes to a debate that has arisen in the recent self-knowledge literature between agentialists and empiricists. According to agentialists, in order for one to know what one believes, desires, and intends, rational agency needs to be exercised in centrally significant cases. Empiricists disagree: while they acknowledge the importance of rationality in general, they maintain that when it comes to self- knowledge, empirical justification, or warrant, is always sufficient. In what follows, I defend agentialism. I argue that if we (...) could only come to know our judgement-sensitive attitudes in the way described by empiricism, then we would be self-estranged from them when we acquire knowledge of them. We would relate to our own attitudes as if we were watching the movies of our inner lives unfold. Given that this is not the position we typically inhabit, with respect to our judgement-sensitive attitudes, I conclude that empiricism fails. This is the self-estrangement argument against empiricism. I then consider a response that Brie Gertler, an empiricist, offers to the objection that empiricism fatally portrays us ‘mere observers of a passing cognitive show’ (2016, p. 1). I argue that her response is unsuccessful. Hence, we should endorse agentialism. (shrink)

In the "big data age", providing informed consent online has never been more challenging. Countless companies collect and share our personal data through devices, apps, and websites, fuelling a growing data economy and the emergence of surveillance capitalism. Few of us have the time to read the associated privacy policies and terms and conditions, and thus are often unaware of how our personal data are being used. This is a problem, as in the last few years, large tech companies have (...) abused our personal data. As privacy self-management, through the mechanism of providing online consent, has become increasingly difficult, some have argued that surveillance capitalism, and the data economy more broadly, need to be overthrown. This book presents a different perspective. It departs from the concept of revolutionary change to focus on pragmatic, incremental solutions tailored to everyday contexts. It scrutinizes how consent is currently sought and provided online and offers suggestions about how online consent practices can be improved upon. These include: the possibility of subjecting consent-gathering practices to ethics committees for review; the creation of visual-based consent agreements and privacy policies, to help with transparency and engagement; the development of software to protect privacy; and the idea of automated consent functionalities that allow users to bypass the task of reading vast amounts of online consent agreements. The author suggests that these "small-scale" changes to online consent-obtaining procedures, could, if successfully implemented, provide us with a way of self-managing our privacy in a way that avoids a revolutionary dismantling of the data economy. In the process, readers are encouraged to rethink the very purpose of providing inform consent online. Rethinking Informed Consent in the Big Data Age will appeal to researchers in normative ethics, applied ethics, philosophy of law, and the philosophy of AI. It will also be of interest to business scholars, communication researchers, students, and those in industry. (shrink)