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DeeperML - #airegulation
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@medium.com
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The rise of artificial intelligence has sparked intense debate about the best approach to regulation. Many believe that AI's rapid development requires careful management to mitigate potential risks. Some experts are suggesting a shift from rigid regulatory "guardrails" to more adaptable "leashes," enabling innovation while ensuring responsible use. The aim is to foster economic growth and technological progress while safeguarding public safety and ethical considerations.
The concept of "leashes" in AI regulation proposes a flexible, management-based approach, allowing AI tools to explore new domains without restrictive barriers. Unlike fixed "guardrails," leashes provide a tethered structure that can prevent AI from "running away," say experts. This approach acknowledges the heterogeneous and dynamic nature of AI, recognizing that prescriptive regulations may not be suitable for such a rapidly evolving field. Focusing on cybersecurity, experts suggest building security from first principles using foundation models. This entails reimagining cybersecurity strategies from the ground up, similar to how Netflix transformed entertainment and Visa tackled fraud detection. Instead of layering more tools and rules onto existing systems, the emphasis is on developing sophisticated models that can learn, adapt, and improve automatically, enabling proactive identification and mitigation of threats.
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@owaspai.org
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The Open Worldwide Application Security Project (OWASP) is actively shaping the future of AI regulation through its AI Exchange project. This initiative fosters collaboration between the global security community and formal standardization bodies, driving the creation of AI security standards designed to protect individuals and businesses while encouraging innovation. By establishing a formal liaison with international standardization organizations like CEN/CENELEC, OWASP is enabling its vast network of security professionals to directly contribute to the development of these crucial standards, ensuring they are practical, fair, and effective.
OWASP's influence is already evident in the development of key AI security standards, notably impacting the AI Act, a European Commission initiative. Through the contributions of experts like Rob van der Veer, who founded the OWASP AI Exchange, the project has provided significant input to ISO/IEC 27090, the global standard on AI security guidance. The OWASP AI Exchange serves as an open-source platform where experts collaborate to shape these global standards, ensuring a balance between strong security measures and the flexibility needed to support ongoing innovation. The OWASP AI Exchange provides over 200 pages of practical advice and references on protecting AI and data-centric systems from threats. This resource serves as a bookmark for professionals and actively contributes to international standards, demonstrating the consensus on AI security and privacy through collaboration with key institutes and Standards Development Organizations (SDOs). The foundation of OWASP's approach lies in risk-based thinking, tailoring security measures to specific contexts rather than relying on a one-size-fits-all checklist, addressing the critical need for clear guidance and effective regulation in the rapidly evolving landscape of AI security.
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