Trustworthy AI: Managing Bias, Ethics, and Accountability
Completed by Shanfang Zheng
April 12, 2026
16 hours (approximately)
Shanfang Zheng'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 and Machine Learning (AI/ML)
- Category: Law, Regulation, and Compliance
- Category: Machine Learning
- Category: Accountability
- Category: Artificial Intelligence
- Category: Workforce Management
- Category: Responsible AI
- Category: Business Ethics
- Category: Decision Making
- Category: Case Studies
- Category: Risk Mitigation
- Category: AI literacy
