6 found
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  1.  90
    AI, big data, and the future of consent.Adam J. Andreotta, Nin Kirkham & Marco Rizzi - 2022 - AI and Society 37 (4):1715-1728.
    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 (...)
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  2. The hard problem of AI rights.Adam J. Andreotta - 2021 - AI and Society 36 (1):19-32.
    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 (...)
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  3. Confabulation does not undermine introspection for propositional attitudes.Adam J. Andreotta - 2019 - Synthese 198 (5):4851-4872.
    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 (...)
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  4.  59
    Extending the Transparency Method beyond Belief: a Solution to the Generality Problem.Adam J. Andreotta - 2020 - Acta Analytica 36 (2):191-212.
    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 (...)
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  5.  26
    Partial First-Person Authority: How We Know Our Own Emotions.Adam J. Andreotta - forthcoming - Review of Philosophy and Psychology:1-23.
    This paper focuses on the self-knowledge of emotions. I first argue that several of the leading theories of self-knowledge, including thetransparency method(see, e.g., Byrne 2018) andneo-expressivism(see, e.g., Bar-On 2004), have difficulties explaining how we authoritatively know our own emotions (even though they may plausibly account for sensation, belief, intention, and desire). I next consider Barrett’s (2017a) empirically informedtheory of constructed emotion. While I agree with her that we ‘give meaning to [our] present sensations’ (2017a, p.26), I disagree with her that (...)
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  6.  57
    More than Just a Passing Cognitive Show: a Defence of Agentialism About Self-knowledge.Adam J. Andreotta - 2022 - Acta Analytica 37 (3):353-373.
    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 (...)
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