Trustworthy AI: Managing Bias, Ethics, and Accountability
Completed by Shira Kogut
May 11, 2026
16 hours (approximately)
Shira Kogut'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: Machine Learning
- Category: AI literacy
- Category: Legal Risk
- Category: Decision Making
- Category: Data Ethics
- Category: Risk Analysis
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Case Studies
- Category: Workforce Management
- Category: Risk Mitigation
- Category: Artificial Intelligence
- Category: Ethical Standards And Conduct
