Earlier quoted context omitted.
> the trick is to get too big to fail status before gov't agencies can come shut you down. While avoiding getting bought by Elon \o/
Why would you want to avoid that? Get paid the GDP of Lithuania for a fairly stodgy messaging platform with a big question mark over how many real users there even are and then getting to look like a genius in comparison to the next guy's run at it sounds like a great deal to me.
Keep your AI claims in check
171–180 of 308 posts
Re: Keep your AI claims in check
#172We are working on an AI product in a highly regulated industry (Investing). Recently we have been experimenting using the GPT3 API as a Junior Equity Analyst. On an eyeball check the results of the technology are impressive. The problem is that there is no way to validate the feedback on scale. I.e., we can't receive statistics about the feedback from the API. In contrast, for our own Entity Recognition models we can…
GPT is a voluble, entertaining bullshitter that is occasionally correct. It is not reliable, and for now, it cannot be made reliable. It is a very impressive toy, but still just a toy for now.
Re: Keep your AI claims in check
#173Earlier quoted context omitted.
If you actually go read the linked article, it's pretty clearly spelled out: The FTC has decades of experience enforcing three laws important to developers and users of AI: Section 5 of the FTC Act. The FTC Act prohibits unfair or deceptive practices. That would include the sale or use of – for example – racially biased algorithms. Fair Credit Reporting Act. The FCRA comes into play in certain circumstances where an…
If you actually go read the FTC act, section 5 is about preventing unfair methods of competition. It's massive stretch to interpret that as "deploying an unfair consumer algorithm".
(1) Unfair methods of competition in or affecting commerce, and unfair or deceptive acts or practices in or affecting commerce, are hereby declared unlawful.
Now, IANAL, but it seems to me that the example the FTC gave about racially biased 'AI' would fall well under the second clause.
Re: Keep your AI claims in check
#174Earlier quoted context omitted.
https://en.wikipedia.org/wiki/Federal_Trade_Commission The first section is a decent summary. Blog posts making casual threats about AI claims is a long way from appropriate. There are places for formality, and the law is one of them. There are serious people quitting the FTC over current leadership, claiming they engaged in behavior that is wildly overstepping their legal authority.
> The first section is a decent summary. I read the first section and it doesn't seem to support your claim. In particular, it claims they have a mandate to protect consumers and links to another wiki entry on that topic. Within that wiki entry protection against misleading statements is mentioned as an aspect of protection of consumers. This seems to refute your claim of overreach, because in the blog post related t…
The second was a statement that an informal blog post threatening citizens is inappropriate, and that the FTC has been accused by by insiders of engaging in inappropriate behavior on several fronts. Two FTC commissioners resigned recently (one making strong claims of illegal and inappropriate behavior in a WSJ oped), and the FTC's recent case against Meta was seen as an overstep by the relevant court.
Re: Keep your AI claims in check
#175Re: Keep your AI claims in check
#176“It’s an ambiguous term with many possible definitions.” “Does the product actually use AI at all? If you think you can get away with baseless claims…” Last I checked basic optimization techniques like simulated annealing and gradient descent - as well as a host of basic statistical tools - are standard parts of an introductory AI textbook. I’ve been on the receiving end of government agency enforcement (SEC) and it…
Yeah, it's pretty laughable that the source they link to for those "possible definitions" right away says this: > AI is defined in many ways and often in broad terms. The variations stem in part from whether one sees it as a discipline (e.g., a branch of computer science), a concept (e.g., computers performing tasks in ways that simulate human cognition), a set of infrastructures (e.g., the data and computational pow…
This was the pinnacle of AI in the 80's. They called them "expert systems".
Re: Keep your AI claims in check
#177Earlier quoted context omitted.
If you actually go read the FTC act, section 5 is about preventing unfair methods of competition. It's massive stretch to interpret that as "deploying an unfair consumer algorithm".
You missed the second half of 15 USC § 45.a.1: (1) Unfair methods of competition in or affecting commerce, and unfair or deceptive acts or practices in or affecting commerce, are hereby declared unlawful. Now, IANAL, but it seems to me that the example the FTC gave about racially biased 'AI' would fall well under the second clause.
http://www.stephenson-law.com/news/“-or-affecting-commerce”-...
> The proper inquiry is not whether a contractual relationship existed between the parties, but rather whether the defendant’s allegedly deceptive acts affected commerce.
I'm really not sure that "gave different demographics of users different responses to optimize product satisfaction" is considered in any way an "unfair or deceptive" practice "in or affecting commerce".
Re: Keep your AI claims in check
#178I would like to know how others are dealing with this. I am making a public health system and to deal with this I simply show results to the clinician or social worker etc... and have them manually approve the result before its applied to an end users protocol.
That is a horrible outcome.
By the time something comes along they really need to question, they'll already have adapted to the system being pretty good and they won't even notice there was an issue.
This problem is endemic to ML systems and cannot be patched away, so far as I can tell. We need fundamentally different approaches to avoid this pit.
Please make sure decision-makers understand this unavoidable gotcha their ML systems must necessarily have.
Re: Keep your AI claims in check
#179We are working on an AI product in a highly regulated industry (Investing). Recently we have been experimenting using the GPT3 API as a Junior Equity Analyst. On an eyeball check the results of the technology are impressive. The problem is that there is no way to validate the feedback on scale. I.e., we can't receive statistics about the feedback from the API. In contrast, for our own Entity Recognition models we can…
GPT is a voluble, entertaining bullshitter that is occasionally correct. It is not reliable, and for now, it cannot be made reliable. It is a very impressive toy, but still just a toy for now.