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DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16824\nAs artificial int
 elligence becomes increasingly embedded in business operations, organizatio
 ns face unprecedented challenges in managing this emerging technology.\n\nT
 his session provides business leaders, risk managers, and data practitioner
 s with a comprehensive framework for understanding and mitigating the ten m
 ost critical AI risks facing organizations today.\n\n
 Data Privacy and Confidentiality – managing sensitive information in 
 AI systems\n
 Bias and Discrimination – preventing unfair outcomes across demograph
 ics\n
 Misinformation and Hallucinations – addressing false outputs and synt
 hetic content\n
 Intellectual Property Risks – navigating ownership and copyright chal
 lenges\n
 Security Vulnerabilities – defending against adversarial attacks and 
 data poisoning\n
 Lack of Transparency and Accountability – overcoming the lack of expl
 ainability associated with black-box decision-making\n
 Over-Reliance on AI – maintaining human-on-the-loop systems, human ju
 dgment, and human expertise\n
 Operational and Strategic Risks – avoiding system failures and misali
 gnment\n
 Regulatory and Legal Risks – ensuring compliance with evolving AI reg
 ulations\n
 Reputational Risk – protecting brand trust and stakeholder confidence
 \n\nThrough real-world examples and evidence-based strategies, attendees wi
 ll learn to recognize warning signs early and implement practical measures 
 to protect their organizations while maximizing the business value of AI in
 vestments.\n
DTSTART:20261116T120000
SUMMARY:AI Risks and Risk Mitigation Strategies
DTEND:20261116T124459
LOCATION: See Description
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