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DeeperML
@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.
References :
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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References :
- medium.com: The Cybersecurity Transformation: Building Security from First Principles with Foundation Models
Classification:
- HashTags: #AIregulation #Cybersecurity #FoundationModels
- Company: Multiple
- Target: Solutions
- Product: AI
- Feature: Regulation
- Type: Research
- Severity: Medium