Trustworthy AI: Managing Bias, Ethics, and Accountability – Johns Hopkins University

Understand the sources of and trade-offs related to bias in human and AI systems, and learn strategies to mitigate this bias in AI implementations.
Explore the ethical frameworks of responsible AI, with an emphasis on transparency, fairness, and accountability, and become familiar with the laws governing AI.
Analyze real-world AI case studies to identify the strengths and weaknesses of AI adoption, and understand the challenges of managing AI projects.