Ethics and Philosophy of Artificial Intelligence

As artificial intelligence becomes deeply woven into daily life, we face urgent questions about machine autonomy, bias, and the future of humanity. Understanding the philosophical foundations and ethical guardrails of AI is no longer optional for tech-literate citizens. This text-based course guides you through the essential moral frameworks and cognitive theories shaping the AI landscape. You will transition from a passive user of technology to an active, critical thinker capable of analyzing algorithmic bias, machine consciousness, and the alignment problem in modern generative models. What you'll learn: - Understand foundational concepts of machine intelligence, consciousness, and the Turing test - Analyze ethical frameworks like utilitarianism and deontology applied to algorithmic decision-making - Identify sources of bias in large language models and modern training datasets - Evaluate the AI alignment problem and current strategies for ensuring safe system behavior - Examine the societal impacts of automation, deepfakes, and intellectual property in the generative era - Discuss existential risk scenarios and global governance frameworks for AI safety The course begins with core definitions of intelligence and mind before moving into practical ethical dilemmas, algorithmic bias, and long-term societal risks. You will engage with written case studies and conceptual exercises designed to challenge your perspective on technology. This course is designed for absolute beginners, professionals, and curious learners who want to understand the societal impact of AI without needing a background in coding or advanced mathematics. Start reading today to build a thoughtful, ethical perspective on the future of artificial intelligence.