Human achievement and artificial intelligence

Adler, P., Falk, C., Friedler, S. A., Rybeck, G., Scheidegger, C., Smith, B., & Venkatasubramanian, S. (2016). Auditing black-box models for indirect influence. In 2016 IEEE 16th international conference on data mining (ICDM) (pp. 1–10). IEEE. Bradford, G. (2015). Achievement. Oxford University Press. Brennan, T., Dieterich, W., & Ehret, B. (2009). Evaluating the predictive validity of the COMPAS risk and needs assessment system. Criminal Justice and Behavior, 36(1), 21–40. Brink, D. O. (2007). Perfectionism and the common good: Themes in the philosophy of TH green. Clarendon Press. Brookwell, I. (2020). The hottest new video game is… chess? Fast Company. Buckner, C. (2019). Rational inference: The lowest bounds. Philosophy and Phenomenological Research, 98(3), 697–724. Buckner, C. (2020). Understanding adversarial examples requires a theory of artefacts for deep learning. Nature Machine Intelligence, 2(12), 731–736. Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on fairness, accountability and transparency (pp. 77–91). PMLR. Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1. Danaher, J. (2020). Welcoming robots into the moral circle: A defence of ethical behaviourism. Science and Engineering Ethics, 26(4), 2023–2049. Danaher, J., & Nyholm, S. (2020). Automation, work and the achievement gap. AI and Ethics, 1–11. Forsberg, L., & Skelton, A. (2020). Achievement and Enhancement. Canadian Journal of Philosophy, 50(3), 322–338. Gabriel, I. (2020). Artificial intelligence, values, and alignment. Minds and Machines, 30(3), 411–437. Graeber, D. (2013). On the phenomenon of bullshit jobs: A work rant. Strike Magazine, 3, 1–5. Gray, M. L., & Suri, S. (2019). Ghost work: How to stop Silicon Valley from building a new global underclass. Eamon Dolan Books. Halina, M. (2021). Insightful artificial intelligence. Mind and Language., 36(2), 315–329. Hirji, S. (2019). Not always worth the effort: Difficulty and the value of achievement. Pacific Philosophical Quarterly, 100(2), 525–548. Hsu, F. H. (2002). Behind Deep Blue: Building the computer that defeated the world chess champion. Princeton University Press. Hurka, T. (1993). Perfectionism. Oxford University Press. Hurka, T. (2006). Games and the good. Proceedings of the Aristotelian Society, 106(1), 217–235. Hurka, T. (2020). The parallel goods of knowledge and achievement. Erkenntnis, 85(3), 589–608. Ilyas, A., Santurkar, S., Tsipras, D., Engstrom, L., Tran, B., & Madry, A. (2019). Adversarial examples are not bugs, they are features. arXiv preprint arXiv:1905.02175. Johnson, G. M. (2020). Algorithmic bias: on the implicit biases of social technology. Synthese, 1–21. Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Tunyasuvunakool, K., & Hassabis, D. (2020). High accuracy protein structure prediction using deep learning. Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 22(24), 2. Lee, C. S., Wang, M. H., Yen, S. J., Wei, T. H., Wu, I. C., Chou, P. C., & Yan, T. H. (2016). Human vs computer go: Review and prospect. IEEE Computational Intelligence Magazine, 11(3), 67–72. Levene, M., & Bar-Ilan, J. (2007). Comparing typical opening move choices made by humans and chess engines. The Computer Journal, 50(5), 567–573. Levy, N. (2007). Neuroethics: Challenges for the 21st century. Cambridge University Press. List, C. (2021). Group Agency and Artificial Intelligence. Philosophy and Technology, 1–30. Mohamed, S., Png, M. T., & Isaac, W. (2020). Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence. Philosophy & Technology, 33, 659-684. Nagel, T. (1995). Equality and partiality. Oxford University Press. Nguyen, C. T. (2019). Games and the art of agency. Philosophical Review, 128(4), 423–462. Noble, S. U. (2018). Algorithms of oppression. New York University Press. Nozick, R. (1974). Anarchy, state, and Utopia. Basic Books. O’neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown. Pranam, A. (2019) Why The retirement of Lee Se-Dol, former 'Go' champion, is a sign of things to come. Forbes. Persson, I., & Savulescu, J. (2008). The perils of cognitive enhancement and the urgent imperative to enhance the moral character of humanity. Journal of Applied Philosophy, 25(3), 162–177. Peterson, M. (2019). The value alignment problem: A geometric approach. Ethics and Information Technology, 21(1), 19–28. Portmore, D. W. (2008). Welfare, Achievement, and Self-Sacrifice. Journal of Ethics and Social Philosophy, 2(2), 1. Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., & Barnes, P. (2020). Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing. In Proceedings of the 2020 conference on fairness, accountability, and transparency (pp. 33–44). Rawls, J. (1999). A theory of justice (Revised). Harvard University Press. Robb, C. M. (2020). Talent dispositionalism. Synthese, 1–18. Scanlon, T. (1998). What we owe to each other. Belknap Press. Searle, J. R. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417–424. Shepherd, J. (2019). Skilled action and the double life of intention. Philosophy and Phenomenological Research, 98(2), 286–305. Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., & Hassabis, D. (2018). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science, 362(6419), 1140–1144. Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., & Hassabis, D. (2016). Mastering the game of go without human knowledge. Nature, 550(7676), 354–359. Sosa, E. (2007). A virtue epistemology: Apt belief and reflective knowledge (Vol. 1). Oxford University Press. Stichter, M. (2007). Ethical expertise: The skill model of virtue. Ethical Theory and Moral Practice, 10(2), 183–194. Suits, B. (1978). The grasshopper. University of Toronto Press. Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013). Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199. Teachman, J. D. (1987). Family background, educational resources, and educational attainment. American Sociological Review, 52, 548–557. Tomašev, N., Paquet, U., Hassabis, D., & Kramnik, V. (2020). Assessing game balance with AlphaZero: Exploring alternative rule sets in chess. arXiv preprint arXiv:2009.04374. von Kriegstein, H. (2017). Effort and achievement. Utilitas, 29(1), 27–51. Wang, J. (2021). Cognitive enhancement and the value of cognitive achievement. Journal of Applied Philosophy, 38(1), 121–135. Wall, S. (2009). Liberalism, perfectionism and restraint. Cambridge University Press. Wildman, N., & Archer, A. (2019). Playing with art in suits’ Utopia. Sport, Ethics and Philosophy, 13(3–4), 456–470. Yonhap News Agency. (2019). Go master Lee says he quits, unable to win over AI Go Players. Yonhap News. Yorke, C. C. (2018). Bernard suits on capacities: Games, perfectionism, and Utopia. Journal of the Philosophy of Sport, 45(2), 177–188.