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