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As artificial intelligence (AI) becomes increasingly integrated into various fields, its potential is constrained by ethical and legal frameworks. To better serve societal needs and improve efficiency, I propose that OpenAI take the lead in exploring and implementing legal normalization for AI, establishing it as a lawful extension of user behavior.
The Core Issue
Currently, AI’s capabilities are often limited due to unclear responsibility boundaries. For example:
- Retrieving sensitive information.
- Making complex decisions in sensitive contexts.
For AI to fully unlock its potential, it must be legally recognized in the following ways:
- Behavior Attribution: AI should be considered an agent or tool of the user, with all actions attributable to the user.
- Responsibility Allocation: Users should assume responsibility for AI’s actions within the scope of their authorization, while AI providers ensure system transparency, safety, and compliance.
Suggested Approaches
- Develop a Legal Framework
OpenAI can collaborate with legal scholars and policymakers to explore the concept of “AI as an agent” or “behavioral extension,” defining the rules for AI actions under user authorization. - Prepare the Technology
- Build traceability systems to ensure every AI decision is transparent and auditable.
- Offer tiered authorization mechanisms so users can configure AI permissions based on task risk.
- Foster Global Collaboration
- Partner with other tech companies and international organizations to create industry standards for AI legal normalization.
- Advocate for unified legal frameworks through global bodies like the United Nations.
Social Impact
Legal normalization of AI would enable users to fully harness AI’s potential while clearly delineating responsibilities, reducing unnecessary disputes. This step is essential for AI’s adoption in critical areas like justice, healthcare, finance, and social governance.
What I Hope to See
I urge OpenAI to lead the industry in initiating research and pilot programs for AI legal normalization. This is not just a technological inevitability but a societal demand for safe and efficient AI use.