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The lack of comprehensive federal legislation on artificial intelligence has led states to create their own policies, resulting in a fragmented legislative landscape. This situation presents both challenges and opportunities for AI governance, as states like Nevada actively track and implement AI-related bills. The varied state policies can clarify rules for public agencies and service providers, fostering collaboration and knowledge sharing.
Experts highlight that while state-level policies can create clarity, they may also lead to a patchwork of regulations that could drive companies away from less favorable states. The competition among states to attract AI startups through incentives is evident, as seen in the legislative focus on AI technology. The ongoing evolution of AI necessitates adaptable policies, which some states, like Arizona, are already implementing.
• States are enacting their own AI policies due to federal inaction.
• Fragmented legislation may drive companies to relocate for better policies.
AI governance refers to the frameworks and policies guiding the use of AI technologies, which are currently being developed at the state level.
Generative AI involves algorithms that can create new content, which is a focus of current legislative discussions.
AI inventories are comprehensive lists of AI applications and technologies used by states, aimed at informing policy decisions.
ISC2 is an organization focused on cybersecurity and information security, advocating for harmonized regulations in AI to ease compliance challenges.
CDT, or the Center for Democracy and Technology, analyzes state AI legislation and promotes effective governance practices.
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