Trustworthy AI: Managing Bias, Ethics, and Accountability
Completed by Andrea Zanetti Martins
July 27, 2025
16 hours (approximately)
Andrea Zanetti Martins'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: Decision Making
- Category: Case Studies
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Risk Mitigation
- Category: Machine Learning
- Category: Workforce Management
- Category: Business Ethics
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Accountability
- Category: Law, Regulation, and Compliance
- Category: AI literacy
