The author proposes several regulatory actions for AI systems and distribution channels, as well as government actions to mitigate these risks. These include pausing all new releases of unsecured AI systems, establishing registration and licensing for AI systems, creating liability for misuse, and requiring transparency of training data. The author also suggests establishing a regulatory body, supporting fact-checking organizations, and cooperating internationally to prevent companies from circumventing regulations. The author concludes that while these measures may be costly and unpopular with some stakeholders, they are necessary to prevent the risks posed by unsecured AI.
Key takeaways:
- Unsecured AI systems, also known as open-source AI systems, pose significant threats due to their potential misuse in generating misleading content, facilitating the production of dangerous materials, and more.
- Companies like Meta and others have been releasing unsecured AI systems in the name of democratizing access to AI, despite the risks.
- The author recommends a series of regulatory actions for AI systems and distribution channels, including pausing all new releases of unsecured AI systems, establishing registration and licensing, creating liability for misuse, and requiring transparency of training data, among others.
- Despite the potential costs and pushback from powerful lobbyists and developers, the author argues that these regulatory measures are necessary to prevent companies from profiting from unsecured AI while pushing the associated risks onto the public.