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Enterprises need artificial-intelligence-specific governance to reduce risks and tolerate the ambiguity intrinsic to AI’s predictive nature. Data and analytics leaders must focus on trust, transparency and diversity to define AI governance in light of their aims and opportunities.
Table of Contents
Focus on Ensuring Trust in AI Systems to Foster AI Adoption
Achieve the Right Degree of Transparency to Reduce Risks and Build Confidence in AI
Pursue Diversity in People, Data and Algorithms to Enable Ethical and Accurate AI Outcomes
- Focus on Ensuring Trust in AI Systems to Foster AI Adoption
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