Tech Ethics: Navigating Bias, AI, and Privacy in the Digital Age

Technology shapes every aspect of modern life, but rapid innovation often outpaces our ethical frameworks. How do we ensure that artificial intelligence, automation, and data collection serve humanity rather than harm it? This text-based course introduces you to the essential tools of philosophical ethics and shows you how to apply them to modern digital dilemmas. You will learn to think critically about the societal impacts of technology from the perspectives of developers, users, and policymakers. What you'll learn: - Understand foundational ethical theories and how they apply to modern digital platforms. - Analyze the ethical implications of artificial intelligence, machine learning, and generative models. - Identify algorithmic bias and explore strategies for designing fairer, more transparent systems. - Evaluate privacy concerns, surveillance practices, and data ownership rights in the digital age. - Examine the impact of automation on the future of work and labor markets. - Assess threats to democratic processes posed by misinformation and algorithmic curation. You will begin with foundational concepts in ethics before moving into real-world case studies on AI, surveillance, and automation. Through structured readings and analytical written exercises, you will develop a framework for making responsible decisions in the tech landscape. This course is designed for beginners and requires no prior background in philosophy or computer science. It is ideal for aspiring developers, tech policy enthusiasts, and curious digital citizens. Start reading today to build a responsible, ethical foundation for the future of technology.