Towards guardrails, not guidelines: a policy framework for powerful AI systems
imbue.com
Towards guardrails, not guidelines: a policy framework for powerful AI systems
AI and the Future of Digital Public Squares
arxiv.org
AI alignment is just the problem of AI bias writ (terrifyingly) large: We are assigning more societal decision-making power to systems that we don’t fully understand. D o these two groups of experts charged with making AI safe actually get along? T hese are two camps, and they’re two camps that sometimes stridently dislike each other.
There are two factions working to prevent AI dangers. Here’s why they’re deeply divided.
The Present Future: AI's Impact Long Before Superintelligence
Ethan Mollick from One Useful Thingreadwise.ioLicensing rules, technical measures, and regulations all interact in ways that alto -gether create a governance structure for AI training datasets. For example, stat -utory limitations on high-risk AI systems seek to impose behavioral constraints similar to those imposed by RAIL-type licenses
Alek Tarkowski • Filling the governance vacuum related to the use of information commons for AI training
The strong version of Goodhart's law underlies most of my personal fears around AI (expect a future blog post about my AI fears!). If there is one thing AI will enable, it is greater efficiency, on almost all tasks, over a very short time period. We are going to need to simultaneously deal with massive numbers of diverse unwanted side effects,
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