Responsible AI - Principles and Ethical Considerations
Completed by Sushma Padmanabhan
September 16, 2024
9 hours (approximately)
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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: Continuous Monitoring
- Category: Complex Problem Solving
- Category: Data Security
- Category: Algorithms
- Category: Data Ethics
- Category: Governance
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: AI Security
- Category: Information Privacy
- Category: Critical Thinking
- Category: Data Governance
