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.
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Timestamps:
01:30 Daily AI news
05:00 About Gabriella and AI2030
08:44 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 Governance
2. Organization's Governance Structure
3. Risks of AI and Generative AI
4. Practical Tips for AI Governance
5. Ethical and Global Technical Standards
Keywords:
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.
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