Daniel Weissglass

His research and teaching focuses on what scientific and technological advances imply for our best understandings of our nature and our place in the world, and what those implications mean for how we ought to act. He teaches courses in Global Health Ethics, Bioethics, Logic, and at the various intersections of computational, empirical, and philosophical reflections on human experiences. He regularly engages students in research in this space, with recent collaborations exploring the use of AI to represent personal values in medical decision making, practices to limit the risk of social chatbot addiction, and possibilities to support the wellbeing and autonomy of persons with Alzheimer’s disease. His other research has explored the possibility of machine consciousness, international regulatory questions surrounding AI in healthcare, and the ability of computational systems to help us better understand our own minds.

He has published in leading generalist journals in philosophy (e.g. Philosophical Studies, Synthese), specialist journals in applied ethics (e.g. Bioethics), a number of edited volumes, and several venues outside of philosophy.

He received his PhD in Philosophy from City University of New York in 2018, and a BA in Philosophy, a BS in Psychology, and a Minor in Jewish Studies from the College of Charleston in 2011.

Daniel Weissglass的研究和教学聚焦于科学与技术进步对我们对人类本质以及世界中定位的最佳理解所带来的启示，并探讨这些启示对我们应如何行动意味着什么。他讲授的课程包括全球健康伦理学、生物伦理学、逻辑学，以及围绕人类经验展开的计算性、实证性与哲学性反思的多学科交叉领域。他经常与学生在这一领域开展研究，并通过近期的合作项目探索了利用人工智能来体现个人价值观以支持医疗决策的可能性、限制社交聊天机器人成瘾风险的实践以及支持阿尔茨海默病患者福祉与自主性的方法。他的其他研究还涉及机器意识的可能性、人工智能在医疗领域的国际监管问题，以及计算系统对帮助我们更好地理解自身思维的潜力。

他在哲学领域的国际顶级综合类期刊（如《Philosophical Studies》《Synthese》）、应用伦理学领域的专业期刊（如《Bioethics》）、多部学术论文集以及哲学领域外的多个刊物上发表了研究成果。

他于2018年在纽约城市大学获得哲学博士学位，并于2011年在查尔斯顿学院获得哲学学士学位、心理学学士学位以及犹太研究辅修资格。