Trustworthy AI: Managing Bias, Ethics, and Accountability
Completed by Frank Parel
December 20, 2025
16 hours (approximately)
Frank Parel'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: Risk Analysis
- Category: Decision Making
- Category: Case Studies
- Category: Risk Mitigation
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning
- Category: AI literacy
- Category: Artificial Intelligence
- Category: Workforce Management
- Category: Accountability
- Category: Law, Regulation, and Compliance
- Category: Responsible AI
