Trustworthy AI: Managing Bias, Ethics, and Accountability
Completed by Stephanie DeShano Wakeman
June 16, 2026
16 hours (approximately)
Stephanie DeShano Wakeman's account is verified. Coursera certifies their successful completion of Trustworthy AI: Managing Bias, Ethics, and Accountability
What you will learn
Understand the sources and trade-offs of bias in both human and AI systems, and learn strategies for mitigating these biases in AI implementations.
Explore ethical frameworks for responsible AI, focusing on transparency, fairness, and accountability, and gain knowledge of laws surrounding AI.
Analyze real-world AI case studies to identify strengths and weaknesses in AI adoption, and understand the considerations for managing AI projects.
Skills you will gain
- Category: Artificial Intelligence
- Category: Workforce Management
- Category: Business Ethics
- Category: Law, Regulation, and Compliance
- Category: Risk Analysis
- Category: Accountability
- Category: Risk Mitigation
- Category: Ethical Standards And Conduct
- Category: Machine Learning
- Category: AI literacy
- Category: Responsible AI
- Category: Case Studies
