This feature is invaluable for both OpenAI and its users. OpenAI has positioned itself as a leader in AI-driven knowledge generation, but without a structured way to verify, authorize, and share conversations, much of its value remains siloed within individual user interactions. This feature would ensure that AI-generated discussions seamlessly transition into real-world impact by providing secure sharing, credibility assessments, and structured stakeholder engagement tools.
This feature is not only beneficial for users—it would also significantly increase OpenAI’s influence in policy, academia, and journalism by enabling AI-generated insights to be shared, cited, and integrated into professional decision-making processes.
Summary of Request
OpenAI should develop a feature that allows users to authorize, validate, and securely share AI-generated conversations with specific individuals, institutions, and stakeholders. This system should incorporate credibility assessments that incentivize recipients to engage with and act on the content.
Key Feature Components
Conversation Authorization & Secure Sharing:
Users should be able to mark conversations as valuable and request an authorization badge before sharing. OpenAI should generate a secure, shareable link that allows specific recipients such as policymakers, journalists, and researchers to access the conversation without requiring an OpenAI account. Users should be able to set access permissions such as public, invite-only, read-only, or comment-enabled.
Credibility & Quality Assessment:
Before a conversation is shared, OpenAI should automatically assess its quality, relevance, and factual accuracy using internal verification tools. Conversations should receive a credibility rating based on factual alignment with existing knowledge, sources, and expert validation.
Stakeholder Engagement Insights & Incentives:
Conversations should be tagged with categories such as Policy-Relevant, Academic-Grade Analysis, and Investigative Lead to indicate their value to recipients. The conversation should include engagement analytics displaying who viewed it, how long they engaged, and whether they found it useful. OpenAI could auto-generate briefing summaries tailored for specific recipients. Journalists would receive media-friendly summaries, while policymakers would receive legislative impact summaries.
Integration with Research & Policy Networks:
Users should be able to directly share conversations with designated institutions such as Brookings Institution, Harvard Kennedy School, and the GAO. Recipients should be able to verify the credibility of discussions using third-party expert validation integrated into the system.
User-Curated Value Tagging & Prioritization:
Users should be able to request external expert validation of their AI-generated conversations. OpenAI should highlight high-value conversations within a knowledge-sharing platform, allowing curated discussions to gain broader visibility.
Why This Feature is Important
• Bridges the gap between AI-generated insights and real-world policy, research, and journalism.
• Eliminates the manual burden of verifying and distributing complex AI conversations.
• Encourages engagement from high-level decision-makers who require credibility assurance.
• Boosts the academic and professional use of AI-generated content through structured validation.
• Expands OpenAI’s role in global policy, economics, and journalism by making AI-driven discussions more actionable.
How OpenAI Can Implement This Feature
Phase 1: Research & Development
Develop a pilot program with select policy research groups and academic institutions to refine credibility tagging. Establish a standardized credibility assessment algorithm to evaluate AI-generated conversations before sharing.
Phase 2: Beta Testing with Stakeholders
Engage journalists, policymakers, and researchers in testing the secure sharing and verification system. Collect feedback on user interface, security, and content validation features.
Phase 3: Full Rollout & API Integration
Develop an API that allows verified institutions to receive AI-generated research insights with credibility scores. Launch a dashboard for users to track shared conversations, engagement metrics, and validation scores.
Conclusion
OpenAI is uniquely positioned to redefine how AI-generated knowledge is shared and trusted in professional spaces. This feature would:
• Increase OpenAI’s credibility in research and policy circles.
• Facilitate the widespread adoption of AI-assisted knowledge generation.
• Ensure that AI-generated insights are actionable, structured, and professionally validated.
This is an opportunity for OpenAI to enhance the practical impact of AI-driven knowledge creation while empowering users to contribute meaningfully to policy, journalism, and academic research.