Trustworthy AI: Managing Bias, Ethics, and Accountability

The course "Responsible AI and Ethics" explores the ethical, social, and technical aspects of artificial intelligence (AI) and machine learning (ML). It focuses on understanding bias in both human and machine systems and provides strategies for mitigating risks. By examining key issues such as fairness, accountability, and the regulatory landscape, learners will gain essential knowledge to navigate the ethical challenges in AI. Through case studies and real-world examples, students will explore

• Understand sources and trade-offs of bias in human and AI systems and learn mitigation strategies
• Explore ethical frameworks for responsible AI focusing on transparency, fairness, and accountability
• Analyze real-world AI case studies to assess AI adoption strengths and project management considerations