The consensus was that, when well-planned, sandboxes can accelerate collective learning about AI’s risks and opportunities, strengthen accountability, and stimulate global innovation in a more secure and inclusive manner.

#AIActionSummit #ai4gov #AI4Gov_EU #AIGovernance #AISummit

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Another major theme was the importance of trust and transparency. Companies worry about disclosing sensitive data; regulators, meanwhile, seek legal certainty and public interest safeguards. Hence, defining clear objectives, roles, and procedures was cited as crucial for a successful sandbox.

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They also stressed the importance of adopting a sector-specific lens to ensure that local or regional realities, whether regulatory nuances or infrastructure gaps, are addressed effectively, thereby maximizing the sandbox’s impact.

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Participants shared concrete examples of sandboxes around the globe, highlighting benefits like reduced regulatory uncertainty, accelerated responsible innovation, and multi-stakeholder engagement.

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AI’s rapid evolution demands more than just rigid legislation; it calls for agile, practical mechanisms. The sandboxes took center stage as an innovative tool that offers a safe environment for testing AI solutions, fostering collaboration among companies, governments, and civil society.

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Are you working on AI or sandboxes or curious what a sandbox is? You can learn more about sandboxes in the link: sandboxes.thedatasphere.org

#Artificialintelligence #AIActionSummit #ai4gov #AIGovernance #FutureofAI #AISummit #Paris #technology #Sandboxes

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Check out this article 🗞️ ➡️
www.technologyreview.com/2024/12/18/1... by Melissa Heikkilä and Stephanie Arnett reporting on a study from The Data Provenance Initiative.

Read more about their insightful work💡 here ➡️ www.dataprovenance.org

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