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AI Governance is a tricky topic that no one seems to know how to approach. There can be many roadblocks or hurdles before properly implementing governance for AI. Gabriella Kusz, Sr. Fellow at AI2030, joins us to discuss how to create governance for AI mass adoption.
Newsletter: Sign up for our free daily newsletter)More on this Episode: Episode page)**Join the discussion: **Ask Jordan and Gabriella questions on AI governance)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Timestamps:**01:30 Daily AI news05:00 About Gabriella and AI203008:44 Challenges with AI technology and governance issues.12:02 Rapid pace challenges global technical standards creation.13:26 Ethical AI guidance is available from Fintech.16:41 Draw parallels between ESG and responsible AI adoption.22:33 Industry self-regulation precedes formal laws in societies.26:00 Inclusion and multidisciplinary team crucial for governance.27:57 Clear boundaries for leveraging technology for advantage.33:29 Recognize failures, iterate, and empower AI progress.36:00 Set up task force, admit setbacks, progress.**Topics Covered in This Episode:1. Role of corporations and Government in AI Governance2. Organization's Governance Structure3. Risks of AI and Generative AI4. Practical Tips for AI Governance5. Ethical and Global Technical StandardsKeywords:**ESG, AI, Artificial intelligence, Emerging areas, Pilot period, Return on investment, Risk identification, Risk mitigation, Governance, Legislation, Change management, Generative AI, Inclusion, Education, ongoing learning, Technology usage, Ethical standards, Global technical standards, Fintech for Good, AI 2030, NIST, Taskforce, Failure in AI implementation, Self-education, AI governance, AI applications, Business growth, AI news.
