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Ethical AI Infrastructure Challenges and Data Governance
Exploring the complexities of establishing ethical AI practices from an infrastructure perspective, focusing on data governance issues that can escalate into significant problems. The discussion highlights the importance of tools like data governance, transparency, risk management, compliance, bias detection, and trustworthy tools, with insights into IBM's approach and importance of addressing bias in AI models.