In (KI2V18001), I explored philosophical ideas and theories critical to artificial intelligence, examining both the nature of AI and broader questions about thought, action, and morality. Below is a breakdown of the topics covered:
AI and Philosophy of Mind: Investigated the relationship between AI and human cognition, starting with Searle’s arguments on intentionality.
Dualism, Materialism, Functionalism: Analyzed theories of mind-body interaction, including Gertler’s dualism and Lewis’s functionalism.
Consciousness: Explored subjective experience through Nagel’s "What is it like to be a bat?" and Chalmers’ hard problem of consciousness.
Free Will and Morality: Examined determinism and moral agency, with discussions based on assigned texts.
Responsible Machines: Debated accountability in AI systems, covering Taurek’s ethical dilemmas and Helveke & Rumelin’s perspectives.
Ethics in Machine Learning: Studied ethical implications of AI deployment, guided by Johnson’s and Broersen’s analyses.
KI and Politics: Explored societal impacts of AI, including Cave & Dihal’s cultural narratives and Muldoon & Reakstad’s political frameworks.
Workgroup Presentation: In a group of three, I delivered a presentation on Broersen’s work, summarizing the knowledge-behavior disconnect in large language models (LLMs).
Through this course, I developed a deeper understanding of AI’s philosophical underpinnings and honed skills in analyzing complex texts, constructing arguments, and presenting ideas effectively.