• Fears of black-box algorithms are multiplying. Black-box algorithms are said to prevent accountability, make it harder to detect bias and so on. Some fears concern the epistemology of black-box algorithms in medicine and the ethical implications of that epistemology. In ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI,' Durán and Jongsma seek to allay such fears. While some of their arguments are compelling, we still see reasons for fear.
  • Desiderative Lockeanism
    Australasian Journal of Philosophy. forthcoming.
    According to the Desiderative Lockean Thesis, there are necessary and sufficient conditions, stated in the terms of decision theory, for when one is truly said to want. What one is truly said to want, it turns out, varies remarkably by context—and to an underappreciated degree. To explain this context-sensitivity—and closure properties of wanting—I advance a Desiderative Lockean view that is distinctive in having two context-sensitive parameters.
  • Algorithms wield increasing control over our lives—over which jobs we get, whether we're granted loans, what information we're exposed to online, and so on. Algorithms can, and often do, wield their power in a biased way, and much work has been devoted to algorithmic bias. In contrast, algorithmic neutrality has gone largely neglected. I investigate three questions about algorithmic neutrality: What is it? Is it possible? And when we have it in mind, what can we learn about algorithmic bias?
  • (Counter)factual want ascriptions and conditional belief
    Thomas Grano and Milo Phillips-Brown
    Journal of Philosophy 119 (12): 641-672. 2022.
    What are the truth conditions of want ascriptions? According to an influential approach, they are intimately connected to the agent’s beliefs: ⌜S wants p⌝ is true iff, within S’s belief set, S prefers the p worlds to the not-p worlds. This approach faces a well-known problem, however: it makes the wrong predictions for what we call (counter)factual want ascriptions, wherein the agent either believes p or believes not-p—for example, ‘I want it to rain tomorrow and that is exactly what is going to…Read more
  • Decision theory and folk psychology both purport to represent the same phenomena: our belief-like and desire- and preference-like states. They also purport to do the same work with these representations: explain and predict our actions. But they do so with different sets of concepts. There's much at stake in whether one of these two sets of concepts can be accounted for with the other. Without such an account, we'd have two competing representations and systems of prediction and explanation, a d…Read more
  • Anankastic conditionals are still a mystery
    Semantics and Pragmatics 12 (13): 1-17. 2019.
    A compositional semantics for anankastic conditionals (‘If you want p, you must φ’) has been elusive. Condoravdi and Lauer (2016) decisively object to all semantics that precede their own. CL's view rests on a response to *the problem of conflicting goals*; CL use an interpretation of 'want' on which an agent's desires don't conflict with her beliefs. But a proper response requires lack of conflict with the facts. CL's view fails. Anankastic conditionals are still a mystery.