HOW CAN REGULATION HELP BUILD TRUSTWORTHY ARTIFICIAL INTELLIGENCE?
summary
European regulators plan a draft AI law this spring and industry groups propose a trustworthy-by-design framework with three concrete controls: transparency (public policies and user-facing explanations), governance (impact assessments, lifecycle reviews) and accountability (logging, documentation, human oversight). The Commission’s white paper cites 1,200 consultation responses (42% want new legislation); expected mandatory rules for high-risk AI systems include high-quality training data, record-keeping, robustness/accuracy tests and possible ex-ante conformity assessments or certification. Standards and independent audits are suggested to operationalize compliance.
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chapters (9)
- 0:00Start
- 5:37Who Workday Is
- 11:58Risk-Based Approach
- 13:52Harms Based Approach
- 30:24Data Minimization
- 32:19Data Privacy
- 34:26Ethical Ai Principles
- 52:30How Can We Achieve Harmonization on the Ethical Legal Framework Governing Ai Especially Regarding Ai Applications Addressed to Global Audiences
- 1:04:07Human Intervention
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