Responsible AI - Principles and Ethical Considerations
Completed by Stephen McCurdy
July 15, 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: Information Privacy
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Governance
- Category: AI Security
- Category: Critical Thinking
- Category: Data Governance
- Category: Data Security
- Category: Complex Problem Solving
- Category: Algorithms
- Category: Data Ethics
