Trustworthy AI: Managing Bias, Ethics, and Accountability
Completed by Aishi Huang
April 1, 2026
16 hours (approximately)
Aishi Huang'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: Accountability
- Category: Law, Regulation, and Compliance
- Category: Artificial Intelligence
- Category: Workforce Management
- Category: Business Ethics
- Category: Responsible AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Case Studies
- Category: Risk Mitigation
- Category: Decision Making
- Category: Data Ethics
- Category: Machine Learning
