Projects

This cluster takes as its focus the philosophical and ethical relationships between non-humananimals, AI, and other intelligent systems. Animal and artificial intelligence both exhibit problem-solving abilities, learning capacities, and adaptive behaviors, via various mechanisms.

Creativity, Artificial Intelligence & Human Well-Being (read more)

This cluster focuses on the philosophical and ethical issues in using AI in health (broadly construed). The integration of artificial intelligence (AI) into health care introduces significant ethical and philosophical challenges, as it transforms how care is delivered, decisions are made, and responsibilities are distributed.

Responsibility, meaningful human control and justice in AI (read more)

Explainability is a critical quality requirement for AI systems. It is threatened when systems are too complex and dynamic, and it may be ensured through interpretable design or through post-hoc explanation. Philosophical work is required, however, to understand what this actually means. (read more)

Trustworthiness is recognized as a key quality requirement for AI systems as they become increasingly powerful and prevalent. However, trustworthiness depends on properties such as transparency, fairness, reliability, and robustness–many of which remain poorly understood and difficult to implement. (read more)

Digital technologies offer great potentials to facilitate better decisions and outcomes, but they also raise ethical challenges and can undercut important human values. (read more)

Recent progress in artificial intelligence presents a unique opportunity for higher education, but also poses challenges. (read more)