Exploring AI Risks: SIPRI and UNODA Host Collaborative Webinar

  • SIPRI and UNODA are joining forces to host a webinar on addressing the risks of AI misuse.
  • The webinar aims to draw parallels with biosafety and biosecurity practices to inform responsible AI innovation.
  • Recent policy discussions and events like the 2023 AI Safety Summit highlight the urgency of addressing dual-use risks in AI.
  • The webinar is scheduled for April 24, from 15:00 to 16:30 CEST, and will be accessible online via Zoom.

Main AI News:

In a bid to dissect the multifaceted intricacies surrounding AI progress, the Stockholm International Peace Research Institute (SIPRI) is poised to partner with the United Nations Office for Disarmament Affairs (UNODA) for an upcoming webinar. Set to transpire on April 24, the webinar, titled ‘Addressing the Risk of AI Misuse: What Can the AI Community Learn From Best Practices in Biosafety and Biosecurity?’, aims to extrapolate insights from analogous frameworks in biosafety and biosecurity.

Against the backdrop of recent policy dialogues, notably within the UN Security Council, and significant milestones such as the 2023 AI Safety Summit, the imperative of grappling with the dual-use implications of AI has been reinforced. Through this collaborative platform, stakeholders aspire to distill pivotal learnings and exemplary methodologies conducive to fostering responsible innovation within the AI domain.

Save the date for this illuminating webinar, scheduled to take place on April 24, from 15:00 to 16:30 CEST, accessible online via Zoom.

Conclusion:

The collaboration between SIPRI and UNODA to address AI risks signifies a growing awareness of the dual-use implications of AI technology. This collaborative effort aims to not only highlight the challenges but also provide insights and best practices to foster responsible innovation in the AI domain. For the market, this indicates an increasing focus on the ethical and responsible development of AI technologies, which could influence regulatory frameworks and investment decisions in AI-related industries.

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