Philosophy of Artificial Intelligence: Machine Minds and Ethics

As computational systems become more integrated into daily life, determining what constitutes intelligence, agency, and ethical decision-making has never been more critical. This text-based course examines the core philosophical concepts that underpin artificial intelligence, guiding you through classic theories and modern ethical dilemmas. You will gain a clear conceptual foundation to critically evaluate how artificial systems process information, whether machines can possess genuine understanding, and how human values can be preserved in technological development. What you'll learn: - Understand fundamental definitions of cognition, functionalism, and machine intelligence. - Analyze classic philosophical thought experiments, including the Turing Test and the Chinese Room Argument. - Examine the distinctions between narrow artificial intelligence, general intelligence, and hypothetical superintelligence. - Evaluate modern alignment issues, algorithmic fairness, and ethical responsibilities in automated systems. - Explore contemporary questions surrounding agency and understanding in large-scale generative models. - Apply structured critical thinking frameworks to contemporary debates on machine autonomy. The course begins with essential terminology, basic definitions, and historical perspectives before guiding you through deeper philosophical frameworks and modern governance challenges. This program is created for curious thinkers and beginners, requiring no prior background in philosophy, computer science, or programming. Start reading to develop a nuanced understanding of the ideas shaping the future of artificial intelligence.