This track explores the philosophical underpinnings of artificial intelligence, examining key concepts such as agency, autonomy, and the nature of intelligence itself. Participants will engage with historical and contemporary philosophical debates that shape our understanding of AI.

This session investigates the relationship between consciousness and artificial intelligence, questioning whether machines can possess consciousness or subjective experiences. Discussions will include theories of mind and the implications of conscious machines for ethics and identity.

Focusing on the ethical considerations surrounding AI technologies, this track addresses issues such as bias, accountability, and the moral implications of machine decision-making. Scholars will analyze frameworks for ethical AI development and deployment.

This session delves into cognitive science insights that inform AI research, exploring how understanding human cognition can enhance machine learning and artificial intelligence. Participants will discuss interdisciplinary approaches that bridge cognitive science and AI.

This track examines how artificial intelligence impacts notions of identity, including personal identity, social identity, and collective identity in a digital age. Scholars will explore the implications of AI on self-perception and social interactions.

This session focuses on the philosophical inquiries related to the mind, particularly in the context of artificial intelligence. Discussions will include theories of mind, the mind-body problem, and the implications of AI for our understanding of consciousness.