Key Takeaways
- What is responsible AI, or trustworthy AI?
- How to work with transparency against customers/business organization, degree of explanation, fairness (how to meet challenges with bias or discrimination)
- How to get help from a data governance perspective, including accountability and data protection/privacy
- Why are these questions important
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