EA - Legal Assistance for Victims of AI by bob

The Nonlinear Library: EA Forum - A podcast by The Nonlinear Fund

Podcast artwork

Categorie:

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Legal Assistance for Victims of AI, published by bob on March 17, 2023 on The Effective Altruism Forum.In the face of increasing competition, it seems unlikely that AI companies will ever take their foot off the gas. One avenue to slow AI development down is to make investment in AI less attractive. This could be done by increasing the legal risk associated with incorporating AI in products.My understanding of the law is limited, but the EU seems particularly friendly to this approach. The European Commission recently proposed the AI Liability Directive, which aims to make it easier to sue over AI products. In the US, companies are at the very least directly responsible for what their chatbots say, and it seems like it's only a matter of time until a chatbot genuinely harms a user, either by gaslighting or by abusive behavior.A charity could provide legal assistance to victims of AI, similar to how EFF provides legal assistance for cases related to Internet freedom.Besides helping the affected person, this would hopefully:Signal to organizations that giving users access to AI is risky businessScare away new players in the marketScare away investorsGive the AI company in question a bad rep, and sway the public opinion against AI companies in generalLimit the ventures large organizations would be willing to jump intoSpark policy discussions (e.g. about limiting minor access to chatbots, which would also limit profits)All of these things would make AI a worse investment, AI companies a less attractive place to work, etc. I'm not sure it'll make a big difference, but I don't think it's less likely to move the needle than academic work on AI safety.Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Visit the podcast's native language site