AI Ethics and Responsible Development

As artificial intelligence becomes integrated into daily life, understanding the moral implications of automated decisions is no longer optional for developers, business leaders, or informed citizens. This course provides a foundational understanding of how to identify, evaluate, and mitigate ethical risks in AI projects, ensuring that technology serves humanity safely and fairly. You will transition from a basic awareness of AI to a structured understanding of how to implement accountability and transparency in automated systems. Through written explanations and practical scenarios, you will learn to navigate the complex intersection of technology and human values. What you'll learn: - Understand foundational ethical principles and their application to machine learning models - Identify common sources of algorithmic bias and implement strategies for fairness - Apply transparency and explainability techniques to make complex models more interpretable - Analyze the unique ethical considerations of modern generative AI and prompt engineering - Practice developing data privacy protocols that align with evolving safety standards - Evaluate the societal impact of automation and AI-driven decision-making The course begins with essential terminology and historical context before moving into technical challenges like bias detection and modern governance frameworks. It is designed for beginners with no prior experience in ethics or computer science who want to understand the human side of technology. Start building a perspective on accountable and trustworthy AI today.