ChinaTalk Can AI Be Governed?
4 snips
Oct 27, 2023 The conversation dives into the urgent need for regulating advanced AI models, highlighting their potential risks to public safety and national security. Ethical responsibilities during AI testing are compared to video game vulnerability assessments. There's a discussion on the tension between innovation and safety, exploring corporate interests versus ethical considerations. The complexities of AI governance emerge, focusing on the implications of geopolitical strategies and the necessity for responsible development. Collaborating in AI research is underscored as vital to aligning technology with human intentions.
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Frontier AI Models and Their Risks
- Frontier AI models are highly capable and pose dangerous capabilities, such as aiding cyber or bio attacks.
- These models require regulation and government oversight before deployment to assess risks and ensure public safety.
Defining and Assessing Frontier AI
- Defining Frontier AI models is challenging, encompassing those trained with vast compute like GPT-4 and future, more powerful models.
- These models' dangerous capabilities are difficult to predict, necessitating more research and red-teaming efforts.
GPT-4 Red Teaming and Future Risks
- GPT-4's red teaming revealed limited scary capabilities, like instructing someone to make a bomb.
- This raises concerns about predicting if the next model could create something truly dangerous, like a deadly virus.
