What AI Companies Can Do Today to Help With the Most Important Century
May 13, 2023
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The podcast delves into practical actions for major AI companies, including alignment research, security standards, and governance preparation. It discusses the importance of ethical AI practices, responsible development, and balancing caution with financial success. It also explores the role of governments in AI regulation and the challenges of navigating ethical dilemmas in the industry.
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Quick takeaways
AI companies should prioritize alignment research, security, and safety standards to contribute to long-term AI safety.
AI companies need to balance caution with commercial success by avoiding excessive hype and accelerating AI development.
Deep dives
Prioritizing Alignment Research, Security, and Safety Standards
AI companies can contribute to crucial areas like alignment research and safety by prioritizing hiring for safety teams, encouraging high-quality research on crucial challenges, and partnering with outside safety researchers. They should also focus on strong security measures beyond commercial incentives and work towards establishing standards and monitoring regimes for the safety of AI systems.
Avoiding Hype and Acceleration
It is important for AI companies to avoid excessive hype and acceleration of AI development to allow time for awareness and understanding of risks to increase. By minimizing flashy demonstrations and breakthrough papers, companies can mitigate incautious advancements in AI. These efforts aim to balance success with caution in the industry.
Preparing for Difficult Decisions Ahead
AI companies need to prepare for challenging decisions that may not align with typical commercial interests. By focusing on governance structures that serve the public benefit, managing high-stakes situations, and setting up processes for complex decisions, companies can align their actions with long-term safety considerations. Managing employee and investor expectations and making internal and external commitments are also vital to ensure responsible AI development.
This piece is about what major AI companies can do (and not do) to be helpful. By “major AI companies,” I mean the sorts of AI companies that are advancing the state of the art, and/or could play a major role in how very powerful AI systems end up getting used.1
This piece could be useful to people who work at those companies, or people who are just curious.
Generally, these are not pie-in-the-sky suggestions - I can name2 more than one AI company that has at least made a serious effort at each of the things I discuss below(beyond what it would do if everyone at the company were singularly focused on making a profit).3
I’ll cover:
Prioritizing alignment research, strong security, and safety standards (all of which I’ve written about previously).
Avoiding hype and acceleration, which I think could leave us with less time to prepare for key risks.
Preparing for difficult decisions ahead: setting up governance, employee expectations, investor expectations, etc. so that the company is capable of doing non-profit-maximizing things to help avoid catastrophe in the future.
Balancing these cautionary measures with conventional/financial success.
I’ll also list a few things that some AI companies present as important, but which I’m less excited about: censorship of AI models, open-sourcing AI models, raising awareness of AI with governments and the public. I don’t think all these things are necessarily bad, but I think some are, and I’m skeptical that any are crucial for the risks I’ve focused on.