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Governments have the unenviable task of addressing the potential and pitfalls of generative AI through public policy constraints. In this Cover Story episode of the podcast, the writer and editor of our sister publication Government Technology takes us through his three-story package on policy-driven approaches to AI, pointing the way to the future, and increasing I will explain the series of research that will continue. .
Show memo
Here are the top 10 takeaways from this episode.
- AI guardrails: Policymakers start from the position that it is necessary to establish guardrails for the safe and ethical use of AI in government policy.
- Safety and privacy: The cover story highlights the importance of using AI systems safely, protecting individuals' privacy rights, and minimizing bias in decision-making processes.
- Jurisdictional innovation: This issue's three-story package on AI features a number of jurisdictions, including New Jersey, Utah, and Santa Cruz County, California, with innovative approaches to AI governance.
- Federal regulations: Guests will discuss President Biden's executive order and state-level frameworks as part of the evolving AI regulatory framework in government.
- People-centered policy: The package points to the importance of developing human-centered policies that prioritize the well-being and rights of individuals affected by AI technologies.
- Data governance: Each of the three stories helps illuminate the critical role of data governance in ensuring the quality, accuracy, and ethical use of the data that powers AI systems.
- Vendor selection: Governments cannot do AI alone, but they must have the internal capacity to select AI vendors as an essential component of responsible AI adoption in government.
- Cooperation with policy makers: To successfully operationalize AI, policymakers, data experts, and other stakeholders must work together to develop responsible AI policies and regulations.
- Technology education: MIT's efforts to introduce AI education stand as an early example of curriculum development to prepare the next generation of the workforce.
- Digital transformation: This issue's columns explore broader themes, including transparency in AI systems and the persistent need for a human co-pilot in the digital transformation of government services.
Related Links To stories referenced in the episode:
Editors used ChatGPT 4.0 to summarize episodes in bullet point format to help create program notes.
