Responsible AI - Principles and Ethical Considerations
Completed by Keene Saul Crescini
January 12, 2026
9 hours (approximately)
Keene Saul Crescini's account is verified. Coursera certifies their successful completion of Responsible AI - Principles and Ethical Considerations
What you will learn
Discuss responsible AI principles and their significance in technology, including ethical considerations, fairness, transparency, and accountability.
Apply techniques to identify, address, and mitigate bias in AI algorithms and data, promoting fairness and inclusivity in AI systems.
Interpret and explain AI decisions, balancing accuracy and explainability to foster trust and accountability in AI systems.
Discuss accountability, ethical AI governance, privacy considerations, security measures in the development & deployment of responsible AI systems.
Skills you will gain
- Category: Critical Thinking
- Category: Data Security
- Category: Continuous Monitoring
- Category: Data Governance
- Category: AI Security
- Category: Information Privacy
- Category: Complex Problem Solving
- Category: Algorithms
- Category: Governance
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Ethical Standards And Conduct
