Results for 'Jessica Sullivan'

294 found
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  1. Another Failed Refutation of Scepticism.Tom Stoneham & Ema Sullivan-Bissett - 2017 - Teorema: International Journal of Philosophy 36 (2):19-30.
    Jessica Wilson has recently offered a more sophisticated version of the self-defeat objection to Cartesian scepicism. She argues that the assertion of Cartesian scepticism results in an unstable vicious regress. The way out of the regress is to not engage with the Cartesian sceptic at all, to stop the regress before it starts, at the warranted assertion that the external world exists. We offer three reasons why this objection fails: first, the sceptic need not accept Wilson’s characterization of the (...)
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  2. Coordinated pluralism as a means to facilitate integrative taxonomies of cognition.Jacqueline Anne Sullivan - 2017 - Philosophical Explorations 20 (2):129-145.
    The past decade has witnessed a growing awareness of conceptual and methodological hurdles within psychology and neuroscience that must be addressed for taxonomic and explanatory progress in understanding psychological functions to be possible. In this paper, I evaluate several recent knowledge-building initiatives aimed at overcoming these obstacles. I argue that while each initiative offers important insights about how to facilitate taxonomic and explanatory progress in psychology and neuroscience, only a “coordinated pluralism” that incorporates positive aspects of each initiative will have (...)
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  3. SIDEs: Separating Idealization from Deceptive ‘Explanations’ in xAI.Emily Sullivan - forthcoming - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency.
    Explainable AI (xAI) methods are important for establishing trust in using black-box models. However, recent criticism has mounted against current xAI methods that they disagree, are necessarily false, and can be manipulated, which has started to undermine the deployment of black-box models. Rudin (2019) goes so far as to say that we should stop using black-box models altogether in high-stakes cases because xAI explanations ‘must be wrong’. However, strict fidelity to the truth is historically not a desideratum in science. Idealizations (...)
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  4. Medical maternalism: beyond paternalism and antipaternalism.Laura Specker Sullivan - 2016 - Journal of Medical Ethics 42 (7):439-444.
    This paper argues that the concept of paternalism is currently overextended to include a variety of actions that, while resembling paternalistic actions, are importantly different. I use the example of Japanese physicians’ non-disclosures of cancer diagnoses directly to patients, arguing that the concept of maternalism better captures these actions. To act paternalistically is to substitute one's own judgement for that of another person and decide in place of that person for his/her best interest. By contrast, to act maternalistically is to (...)
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  5. Kant on the original synthesis of understanding and sensibility.Jessica J. Williams - 2017 - British Journal for the History of Philosophy 26 (1):66-86.
    In this paper, I propose a novel interpretation of the role of the understanding in generating the unity of space and time. On the account I propose, we must distinguish between the unity that belongs to determinate spaces and times – which is a result of category-guided synthesis and which is Kant’s primary focus in §26 of the B-Deduction, including the famous B160–1n – and the unity that belongs to space and time themselves as all-encompassing structures. Non-conceptualist readers of Kant (...)
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  6. Optogenetics, Pluralism, and Progress.Jacqueline Anne Sullivan - 2018 - Philosophy of Science 85 (00):1090-1101.
    Optogenetic techniques are described as “revolutionary” for the unprecedented causal control they allow neuroscientists to exert over neural activity in awake behaving animals. In this paper, I demonstrate by means of a case study that optogenetic techniques will only illuminate causal links between the brain and behavior to the extent that their error characteristics are known and, further, that determining these error characteristics requires comparison of optogenetic techniques with techniques having well known error characteristics and consideration of the broader neural (...)
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  7. From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices.Jessica Morley, Luciano Floridi, Libby Kinsey & Anat Elhalal - 2020 - Science and Engineering Ethics 26 (4):2141-2168.
    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 (...)
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  8. The limits of empowerment: how to reframe the role of mHealth tools in the healthcare ecosystem.Jessica Morley & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (3):1159-1183.
    This article highlights the limitations of the tendency to frame health- and wellbeing-related digital tools (mHealth technologies) as empowering devices, especially as they play an increasingly important role in the National Health Service (NHS) in the UK. It argues that mHealth technologies should instead be framed as digital companions. This shift from empowerment to companionship is advocated by showing the conceptual, ethical, and methodological issues challenging the narrative of empowerment, and by arguing that such challenges, as well as the risk (...)
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  9. Vulnerability in Social Epistemic Networks.Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2020 - International Journal of Philosophical Studies 28 (5):1-23.
    Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, (...)
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  10. Emerging plurality of life: Assessing the questions, challenges and opportunities.Jessica Abbott, Erik Persson & Olaf Witkowski - 2023 - Frontiers Human Dynamics 5:1153668.
    Research groups around the world are currently busy trying to invent new life in the laboratory, looking for extraterrestrial life, or making machines increasingly more life-like. In the case of astrobiology, any newly discovered life would likely be very old, but when discovered it would be new to us. In the case of synthetic organic life or life-like machines, humans will have invented life that did not exist before. Together, these endeavors amount to what we call the emerging plurality of (...)
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  11. Inductive Risk, Understanding, and Opaque Machine Learning Models.Emily Sullivan - 2022 - Philosophy of Science 89 (5):1065-1074.
    Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an internal opacity (...)
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  12. Do ML models represent their targets?Emily Sullivan - forthcoming - Philosophy of Science.
    I argue that ML models used in science function as highly idealized toy models. If we treat ML models as a type of highly idealized toy model, then we can deploy standard representational and epistemic strategies from the toy model literature to explain why ML models can still provide epistemic success despite their lack of similarity to their targets.
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  13. Vectors of epistemic insecurity.Emily Sullivan & Mark Alfano - 2020 - In Ian James Kidd, Quassim Cassam & Heather Battaly, Vice Epistemology. New York, NY: Routledge.
    Epistemologists have addressed a variety of modal epistemic standings, such as sensitivity, safety, risk, and epistemic virtue. These concepts mark out the ways that beliefs can fail to track the truth, articulate the conditions needed for knowledge, and indicate ways to become a better epistemic agent. However, it is our contention that current ways of carving up epistemic modality ignore the complexities that emerge when individuals are embedded within a community and listening to a variety of sources, some of whom (...)
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  14. Friendships Need to Go Wrong in Order to Go Right.Laura Specker Sullivan & Fay Niker - forthcoming - Journal of the American Philosophical Association.
    Companion friendship is a paradigm example of a trusting relationship and is a central good in human life. These friendships are also complex; navigating this complexity carries risk. Philosophical work has largely overlooked questions about how friends might navigate this morally risky space in ways that protect and develop their relationship over time. More specifically, although it is generally accepted that friendship involves acting to promote the well-being of one’s friend, ethical analysis of such interpersonal action has not addressed questions (...)
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  15. Trust, Risk, and Race in American Medicine.Laura Specker Sullivan - 2020 - Hastings Center Report 50 (1):18-26.
    Trust is a core feature of the physician-patient relationship, and risk is central to trust. Patients take risks when they trust their providers to care for them effectively and appropriately. Not all patients take these risks: some medical relationships are marked by mistrust and suspicion. Empirical evidence suggests that some patients and families of color in the United States may be more likely to mistrust their providers and to be suspicious of specific medical practices and institutions. Given both historical and (...)
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  16. What Determines the Reference of Names? What Determines the Objects of Thought.Jessica Pepp - 2019 - Erkenntnis 84 (4):741-759.
    It is fairly widely accepted that Saul Kripke, Keith Donnellan, and others showed in the 1960s–1980s that proper names, in particular uses by speakers, can refer to things free of anything like the epistemic requirements posited by Gottlob Frege and Bertrand Russell. This paper separates two aspects of the Frege–Russell view of name reference: the metaphysical thesis that names in particular uses refer to things in virtue of speakers thinking of those things and the epistemic thesis that thinking of things (...)
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  17. What’s New About Fake News?Jessica Pepp, Eliot Michaelson & Rachel Sterken - 2019 - Journal of Ethics and Social Philosophy 16 (2):67-94.
    The term "fake news" ascended rapidly to prominence in 2016 and has become a fixture in academic and public discussions, as well as in political mud-slinging. In the flurry of discussion, the term has been applied so broadly as to threaten to render it meaningless. In an effort to rescue our ability to discuss—and combat—the underlying phenomenon that triggered the present use of the term, some philosophers have tried to characterize it more precisely. A common theme in this nascent philosophical (...)
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  18. Long-Term Potentiation: One Kind or Many?Jacqueline Sullivan - 2017 - In Marcus P. Adams, Zvi Biener, Uljana Feest & Jacqueline Anne Sullivan, Eppur Si Muove: Doing History and Philosophy of Science with Peter Machamer: A Collection of Essays in Honor of Peter Machamer. Dordrecht: Springer. pp. 127-140.
    Do neurobiologists aim to discover natural kinds? I address this question in this chapter via a critical analysis of classification practices operative across the 43-year history of research on long-term potentiation (LTP). I argue that this 43-year history supports the idea that the structure of scientific practice surrounding LTP research has remained an obstacle to the discovery of natural kinds.
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  19. Can Real Social Epistemic Networks Deliver the Wisdom of Crowds?Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2014 - In Tania Lombrozo, Joshua Knobe & Shaun Nichols, Oxford Studies in Experimental Philosophy, Volume 1. Oxford, GB: Oxford University Press UK.
    In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half the (...)
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  20. Long-Term Potentiation: One Kind or Many?Jacqueline Sullivan - 2017 - In Marcus P. Adams, Zvi Biener, Uljana Feest & Jacqueline Anne Sullivan, Eppur Si Muove: Doing History and Philosophy of Science with Peter Machamer: A Collection of Essays in Honor of Peter Machamer. Dordrecht: Springer.
    Do neurobiologists aim to discover natural kinds? I address this question in this chapter via a critical analysis of classification practices operative across the 43-year history of research on long-term potentiation. I suggest that this 43-year history supports the idea that the structure of scientific practice surrounding LTP research has remained an obstacle to the discovery of natural kinds as philosophers of science have traditionally conceived them.
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  21. The multiplicity of experimental protocols: A challenge to reductionist and non-reductionist models of the unity of neuroscience.Jacqueline A. Sullivan - 2009 - Synthese 167 (3):511-539.
    Descriptive accounts of the nature of explanation in neuroscience and the global goals of such explanation have recently proliferated in the philosophy of neuroscience and with them new understandings of the experimental practices of neuroscientists have emerged. In this paper, I consider two models of such practices; one that takes them to be reductive; another that takes them to be integrative. I investigate those areas of the neuroscience of learning and memory from which the examples used to substantiate these models (...)
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  22. Fictional persuasion, transparency, and the aim of belief.Ema Sullivan-Bissett & Lisa Bortolotti - 2017 - In Ema Sullivan-Bissett, Helen Bradley & Paul Noordhof, Art and Belief. Oxford: Oxford University Press. pp. 153-73.
    In this chapter we argue that some beliefs present a problem for the truth-aim teleological account of belief, according to which it is constitutive of belief that it is aimed at truth. We draw on empirical literature which shows that subjects form beliefs about the real world when they read fictional narratives, even when those narratives are presented as fiction, and subjects are warned that the narratives may contain falsehoods. We consider Nishi Shah’s teleologist’s dilemma and a response to it (...)
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  23. Understanding Stability in Cognitive Neuroscience Through Hacking's Lens.Jacqueline Anne Sullivan - 2021 - Philosophical Inquiries 1 (1):189-208.
    Ian Hacking instigated a revolution in 20th century philosophy of science by putting experiments (“interventions”) at the top of a philosophical agenda that historically had focused nearly exclusively on representations (“theories”). In this paper, I focus on a set of conceptual tools Hacking (1992) put forward to understand how laboratory sciences become stable and to explain what such stability meant for the prospects of unity of science and kind discovery in experimental science. I first use Hacking’s tools to understand sources (...)
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  24. The Aesthetic Significance of the Lying-Misleading Distinction.Jessica Pepp - 2019 - British Journal of Aesthetics 59 (3):289-304.
    There is a clear intuitive difference between lying and attempting to mislead. Recent efforts to analyse this difference, and to define lying in ways that respect it, are motivated by the conviction that the difference is important or significant in some way. Traditionally, the importance of the lying-misleading distinction has been cashed out in moral terms, but this approach faces a number of challenges. The purpose of this paper is to suggest and develop a different way in which the lying-misleading (...)
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  25. “Giving something back”: a systematic review and ethical enquiry into public views on the use of patient data for research in the United Kingdom and the Republic of Ireland.Jessica Stockdale, Jackie Cassell & Elizabeth Ford - 2019 - Wellcome Open Research 3 (6).
    Background: Use of patients’ medical data for secondary purposes such as health research, audit, and service planning is well established in the UK. However, the governance environment, as well as public understanding about this work, have lagged behind. We aimed to systematically review the literature on UK and Irish public views of patient data used in research, critically analysing such views though an established biomedical ethics framework, to draw out potential strategies for future good practice guidance and inform ethical and (...)
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  26. Explanation Hacking: The perils of algorithmic recourse.E. Sullivan & Atoosa Kasirzadeh - forthcoming - In Juan Manuel Durán & Giorgia Pozzi, Philosophy of science for machine learning: Core issues and new perspectives. Springer.
    We argue that the trend toward providing users with feasible and actionable explanations of AI decisions—known as recourse explanations—comes with ethical downsides. Specifically, we argue that recourse explanations face several conceptual pitfalls and can lead to problematic explanation hacking, which undermines their ethical status. As an alternative, we advocate that explanations of AI decisions should aim at understanding.
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  27. Monothematic delusions are misfunctioning beliefs.Ema Sullivan-Bissett - 2024 - Synthese 204 (6):1-26.
    Monothematic delusions are bizarre beliefs which are often accompanied by highly anomalous experiences. For philosophers and psychologists attracted to the exploration of mental phenomena in an evolutionary framework, these beliefs represent—notwithstanding their rarity—a puzzle. A natural idea concerning the biology of belief is that our beliefs, in concert with relevant desires, help us to navigate our environments, and so, in broad terms, an evolutionary story of human belief formation will likely insist on a function of truth (true beliefs tend to (...)
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  28. Two Ways of Being for an End.Jessica Gelber - 2018 - Phronesis 63 (1):64-86.
    _ Source: _Volume 63, Issue 1, pp 64 - 86 Five times in the extant corpus, Aristotle refers to a distinction between two ways of being a ‘that for the sake of which’ that he sometimes marks by using genitive and dative pronouns. Commentators almost universally say that this is the distinction between an aim and beneficiary. I propose that Aristotle had a quite different distinction in mind, namely: that which holds between something and the aim or objective it is (...)
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  29. Stabilizing Mental Disorders: Prospects and Problems.Jacqueline Anne Sullivan - 2014 - In H. Kincaid & J. Sullivan, Mental Kinds and Natural Kinds. MIT Press. pp. 257-281.
    In this chapter I investigate the kinds of changes that psychiatric kinds undergo when they become explanatory targets of areas of sciences that are not “mature” and are in the early stages of discovering mechanisms. The two areas of science that are the targets of my analysis are cognitive neuroscience and cognitive neurobiology.
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  30. Painful Reasons: Representationalism as a Theory of Pain.Brendan O'Sullivan & Robert Schroer - 2012 - Philosophical Quarterly 62 (249):737-758.
    It is widely thought that functionalism and the qualia theory are better positioned to accommodate the ‘affective’ aspect of pain phenomenology than representationalism. In this paper, we attempt to overturn this opinion by raising problems for both functionalism and the qualia theory on this score. With regard to functionalism, we argue that it gets the order of explanation wrong: pain experience gives rise to the effects it does because it hurts, and not the other way around. With regard to the (...)
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  31. Autonomy and Community in Kant's Theory of Taste.Jessica J. Williams - forthcoming - The Journal of Aesthetics and Art Criticism.
    In this paper, I argue that Kant has a far more communitarian theory of aesthetic life than is usually acknowledged. I focus on two aspects of Kant’s theory that might otherwise be taken to support an individualist reading, namely, Kant’s emphasis on aesthetic autonomy and his characterization of judgments of taste as involving demands for agreement. I argue that the full expression of autonomy in fact requires being a member of an aesthetic community and that within such a community, judgments (...)
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  32. Exploring Regulatory Flexibility to Create Novel Incentives to Optimize Drug Discovery.Jacqueline A. Sullivan & E. Richard Gold - 2024 - Frontiers in Medicine 11 (Section on Regulatory Science).
    Efforts by governments, firms, and patients to deliver pioneering drugs for critical health needs face a challenge of diminishing efficiency in developing those medicines. While multi-sectoral collaborations involving firms, researchers, patients, and policymakers are widely recognized as crucial for countering this decline, existing incentives to engage in drug development predominantly target drug manufacturers and thereby do little to stimulate collaborative innovation. In this mini review, we consider the unexplored potential within pharmaceutical regulations to create novel incentives to encourage a diverse (...)
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  33. Assertion, Lying, and Untruthfully Implicating.Jessica Pepp - 2018 - In Sanford Goldberg, The Oxford Handbook of Assertion. Oxford University Press.
    This chapter explores the prospects for justifying the somewhat widespread, somewhat firmly held sense that there is some moral advantage to untruthfully implicating over lying. I call this the "Difference Intuition." I define lying in terms of asserting, but remain open about what precise definition best captures our ordinary notion. I define implicating as one way of meaning something without asserting it. I narrow down the kind of untruthful implicating that should be compared with lying for purposes of evaluating whether (...)
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  34. Judging Mechanistic Neuroscience: A Preliminary Conceptual-Analytic Framework for Evaluating Scientific Evidence in the Courtroom.Jacqueline Anne Sullivan & Emily Baron - 2018 - Psychology, Crime and Law (00):00-00.
    The use of neuroscientific evidence in criminal trials has been steadily increasing. Despite progress made in recent decades in understanding the mechanisms of psychological and behavioral functioning, neuroscience is still in an early stage of development and its potential for influencing legal decision-making is highly contentious. Scholars disagree about whether or how neuroscientific evidence might impact prescriptions of criminal culpability, particularly in instances in which evidence of an accused’s history of mental illness or brain abnormality is offered to support a (...)
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  35. More than consent for ethical open-label placebo research.Laura Specker Sullivan - 2021 - Journal of Medical Ethics 47 (12):e7-e7.
    Recent studies have explored the effectiveness of open-label placebos for a variety of conditions, including chronic pain, cancer-related fatigue and irritable bowel syndrome. OLPs are thought to sidestep traditional ethical worries about placebos because they do not involve deception: with an OLP, patients or subjects are told outright that they are not given an active substance. As deception is framed as the primary hurdle to ethical placebo use, the door is ostensibly opened to ethical studies of OLPs. In this article, (...)
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  36. Principles of Acquaintance.Jessica Pepp - 2019 - In Jonathan Knowles & Thomas Raleigh, Acquaintance: New Essays. Oxford, United Kingdom: Oxford University Press.
    The thesis that in order to genuinely think about a particular object one must be (in some sense) acquainted with that object has been thoroughly explored since it was put forward by Bertrand Russell. Recently, the thesis has come in for mounting criticism. The aim of this paper is to point out that neither the exploration nor the criticism have been sensitive to the fact that the thesis can be interpreted in two different ways, yielding two different principles of acquaintance. (...)
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  37. On Pictorially mediated mind-object relations.Jessica Pepp - 2023 - Inquiry: An Interdisciplinary Journal of Philosophy 66 (2):246-274.
    When I see a tree through my window, that particular worldly tree is said to be ‘in’, ‘on’, or ‘before’ my mind. My ordinary visual link to it is ‘intentional’. How similar to this link are the links between me and particular worldly trees when I see them in photographs, or in paintings? Are they, in some important sense, links of the same kind? Or are they links of importantly different kinds? Or, as a third possibility, are they at once (...)
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  38. My avatar, my self: Virtual harm and attachment.Jessica Wolfendale - 2007 - Ethics and Information Technology 9 (2):111-119.
    Multi-user online environments involve millions of participants world-wide. In these online communities participants can use their online personas – avatars – to chat, fight, make friends, have sex, kill monsters and even get married. Unfortunately participants can also use their avatars to stalk, kill, sexually assault, steal from and torture each other. Despite attempts to minimise the likelihood of interpersonal virtual harm, programmers cannot remove all possibility of online deviant behaviour. Participants are often greatly distressed when their avatars are harmed (...)
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  39. The Demands of Beauty: Kant on the Normative Force of Aesthetic Reasons.Jessica J. Williams - 2024 - Estetika: The European Journal of Aesthetics 61 (1):1-19.
    According to a number of contemporary theorists, aesthetic reasons can invite or entice us but never compel us. In this paper, I develop a Kantian account of the normative force of aesthetic reasons. While Kant would likely agree that aesthetic reasons do not give rise to obligations, his account nevertheless gives us the resources for explaining how aesthetic reasons can still have more force than merely enticing reasons. This account appeals to the distinct normativity of aesthetic judgments on Kant's theory (...)
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  40. Construct Stabilization and the Unity of the Mind-Brain Sciences.Jacqueline Anne Sullivan - 2016 - Philosophy of Science 83 (5):662-673.
    This paper offers a critique of an account of explanatory integration that claims that explanations of cognitive capacities by functional analyses and mechanistic explanations can be seamlessly integrated. It is shown that achieving such explanatory integration requires that the terms designating cognitive capacities in the two forms of explanation are stable but that experimental practice in the mind-brain sciences currently is not directed at achieving such stability. A positive proposal for changing experimental practice so as to promote such stability is (...)
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  41. Truth Serum, Liar Serum, and Some Problems About Saying What You Think is False.Jessica Pepp - 2018 - In Eliot Michaelson & Andreas Stokke, Lying and Insincerity. Oxford, UK: Oxford University Press.
    This chapter investigates the conflict between thought and speech that is inherent in lying. This is the conflict of saying what you think is false. The chapter shows how stubbornly saying what you think is false resists analysis. In traditional analyses of lying, saying what you think is false is analyzed in terms of saying something and believing that it is false. But standard cases of unconscious or divided belief challenge these analyses. Classic puzzles about belief from Gottlob Frege and (...)
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  42. Professional Integrity and Disobedience in the Military.Jessica Wolfendale - 2009 - Journal of Military Ethics 8 (2):127-140.
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  43. Self Control and Moral Security.Jessica Wolfendale & Jeanette Kennett - 2019 - In David Shoemaker, Oxford Studies in Agency and Responsibility Volume 6. Oxford University Press. pp. 33-63.
    Self-control is integral to successful human agency. Without it we cannot extend our agency across time and secure central social, moral, and personal goods. But self-control is not a unitary capacity. In the first part of this paper we provide a taxonomy of self-control and trace its connections to agency and the self. In part two, we turn our attention to the external conditions that support successful agency and the exercise of self-control. We argue that what we call moral security (...)
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  44. (1 other version)Ethics as a service: a pragmatic operationalisation of AI ethics.Jessica Morley, Anat Elhalal, Francesca Garcia, Libby Kinsey, Jakob Mökander & Luciano Floridi - 2021 - Minds and Machines 31 (2):239–256.
    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 (...)
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  45. Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.
    Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...)
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  46. Is the Next Frontier in Neuroscience a Decade of the Mind?Jacqueline Anne Sullivan - 2014 - In Charles T. Wolfe, Brain theory : essays in critical neurophilosophy. Palgrave-Macmillan.
    In 2007, ten world-renowned neuroscientists proposed “A Decade of the Mind Initiative.” The contention was that, despite the successes of the Decade of the Brain, “a fundamental understanding of how the brain gives rise to the mind [was] still lacking” (2007, 1321). The primary aims of the decade of the mind were “to build on the progress of the recent Decade of the Brain (1990-99)” by focusing on “four broad but intertwined areas” of research, including: healing and protecting, understanding, enriching, (...)
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  47. (1 other version)Kant against the cult of genius: epistemic and moral considerations.Jessica J. Williams - 2021 - In Camilla Serck-Hanssen & Beatrix Himmelmann, Proceedings of the 13th International Kant Congress: The Court of Reason (Oslo, 6–9 August 2019). De Gruyter. pp. 919-926.
    In the Critique of Judgment, Kant claims that genius is a talent for art, but not for science. Despite his restriction of genius to the domain of fine art, several recent interpreters have suggested that genius has a role to play in Kant’s account of cognition in general and scientific practice in particular. In this paper, I explore Kant’s reasons for excluding genius from science as well as the reasons that one might nevertheless be tempted to think that his account (...)
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  48. Ethical guidelines for COVID-19 tracing apps.Jessica Morley, Josh Cowls, Mariarosaria Taddeo & Luciano Floridi - 2020 - Nature 582:29–⁠31.
    Technologies to rapidly alert people when they have been in contact with someone carrying the coronavirus SARS-CoV-2 are part of a strategy to bring the pandemic under control. Currently, at least 47 contact-tracing apps are available globally. They are already in use in Australia, South Korea and Singapore, for instance. And many other governments are testing or considering them. Here we set out 16 questions to assess whether — and to what extent — a contact-tracing app is ethically justifiable.
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  49. Comments on Making Things Up.Jessica M. Wilson - 2019 - Philosophy and Phenomenological Research 98 (2):497-506.
    These comments are part of a book symposium on Karen Bennett's book, _Making Things Up_.
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  50. The Defecating Duck, or, the Ambiguous Origins of Artificial Life.Jessica Riskin - 2003 - Critical Inquiry 29 (4):599-633.
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