OpenAI says its new model GPT-2 is too dangerous to release (2019)

5 Steps

1. 1

   Identify AI Model Risks: Before deployment, thoroughly assess potential misuse cases for your AI model, focusing on disinformation, impersonation, or harmful content generation capabilities.

2. 2

   Conduct Ethical Impact Assessment: Perform a comprehensive ethical review to understand societal implications, potential biases, and the broader impact of your AI's capabilities on users and communities.

3. 3

   Plan a Staged Release Strategy: Adopt a phased deployment approach. Release smaller, controlled versions of your model to trusted partners or limited audiences before considering a full public release.

4. 4

   Implement Safety Protocols & Monitoring: Integrate robust safety mechanisms, content filters, and continuous monitoring for misuse during and after each release stage to detect and respond to issues promptly.

5. 5

   Document and Communicate Responsibly: Maintain transparency by documenting risk assessments, mitigation strategies, and release decisions. Communicate openly with stakeholders about model capabilities, limitations, and safety measures.