Making AI Safer as a Founder (Essay Review #3)

Today we're reviewing my own blog post for Apart Research from last year about For-profit AI Safety - a crucial topic in today's rapidly evolving AI landscape. We're diving into how companies can bridge the massive gap between AI development investments ($67 billion) and AI safety funding ($250 million).

The post breaks down four key areas where businesses can make an impact while turning a profit. First up is deployment safety - think protecting against prompt injections, data poisoning, and ensuring AI systems remain reliable and secure. Next is interpretability and oversight, which focuses on making AI decision-making more transparent and traceable, especially crucial for sectors like healthcare and planning. The third area covers alignment, making sure AI systems actually do what users want them to do, while avoiding potential risks like deceptive behavior or unwanted hallucinations.

Finally, the post explores AI defense on a broader scale, addressing how companies can help protect infrastructure and governments against emerging AI risks. This includes developing better cyber defense systems, vulnerability detection, and combating misinformation. The article wraps up with some solid advice for entrepreneurs entering this space, warning about potential pitfalls like maintaining control while taking investments and avoiding the trap of scaling too quickly.

Read the post on Apart's website here: https://www.apartresearch.com/post/ai...

Visit my website and subscribe to my blog here: https://kran.ai/

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