Mandatory Certification Regarding Generative Artificial Intelligence
txnd.uscourts.gov
txnd.uscourts.gov
Minor quibble: I think the majority of bias would creep in when training, not necessarily during writing the code. If trained on biased data you'll get biased results. RLHF by it's nature is likely to introduce bias, but maybe bias most are ok with, but maybe not lawyers. Later, while actually serving responses, it's possible that OpenAI/others introduce checks for certain things (e.g. does the input contain the word 'gun'? If so refuse to answer) that are also sources of bias. In theory you could also taint the responses by changing the prompt, but that seems unlikely.
All this just to say that I think the judge is right to do this, his bias argument is a bit of a miss.
> All attorneys appearing before the Court must file on the docket a certificate attesting either that no portion of [...] or that any language drafted by generative artificial intelligence was checked for accuracy, using print reporters or traditional legal databases, by a human being [...] held responsible under Rule 11 for the contents of any filing that he or she signs and submits to the Court, regardless of whether generative artificial intelligence drafted any portion of that filing
Asking the attorneys to re-acknowledge that documents they file are their official entries into the record, no matter what programs are used to generate them, makes sense in principle as a way to preempt the "algorithm told us to" argument.
As for an ML model it's basically a table of weights each connected to each other. In a sense we use "training" to find the weights to program into each node of each layer of the network.
I would still say an ML model is a program, just that humans did not directly specify each value this program. If we go back to an FPGA people rarely manually instantiate the raw building blocks instead it synthesized and routed most often by other software. Although VHDL and Verilog and such are closer to a program than training. Even with normal software code is compiled to machine instructions instead of directly specified. We still say your programming a computer even your using a compiler.
Just because the end results are based off of statistics and your input data I would still say training is a form programming. Just training tells you it was very indirect.
That aside I would agree that model or tools, and creator were under no oath so the reason here makes sense.
Since I don't think I'm alone in defining bias this way, how about we all decide on a more objective standard such as "factual accuracy" ?
ChatGPT-Authored Legal Filing “Replete with Citations to Non-Existent Cases" (62 points, 71 comments) https://news.ycombinator.com/item?id=36092509
Lawyer cites fake cases invented by ChatGPT, judge is not amused (343 points, 306 comments) https://news.ycombinator.com/item?id=36097900
A man sued Avianca Airline – his lawyer used ChatGPT (167 points, 129 comments) https://news.ycombinator.com/item?id=36095352
It's also likely the first of similar local rules in other courts, and it wouldn't surprise me if an equivalent rule is eventually added to the FRCP.
Surely an attorney should be held responsible for any and all of the contents they file to a court. How much of that is generated/prepared by junior or trainee attorneys, paralegals, or researchers etc.
Note that while AI systems can be misaligned in general and can hold no allegiances, they are not above the law. Nothing is above the law.
That’s an obvious necessity - which, if my attorney failed to do, I would fire him before leaving the courtroom! How could anyone think that was ok, in court, where consequences of an error could be severe.
https://www.change.org/p/mandate-disclosures-to-mitigate-spa...
Why do people make comments with only 17 views?
While I like the idea, the reasoning here is kinda silly, even if some developer had sworn such an oath it is entirely unclear how that should affect a AI. We just don't have good techniques to prevent llms from hallucinating.
That point about swearing an oath is a good one. It’s a reasonable position (assuming it’s the court’s position) that an AI (assuming this is an “AI”) being asked to provide testimony or a legal argument is doing so on behalf of all who trained it. Why would “my” training argue in “your” case? What if one doesn’t agree with the oath?
There are clearly gross examples of judges failing in this duty, but others take that duty extremely seriously and I've read a number of judicial opinions on technology-related cases that demonstrated remarkable, nuanced grokking of the matter at hand.
(The linked blog post is where I discovered this, but I submitted the original source instead.)
This standing order reiterates what any practitioner _should_ know. It a rule which states that you should follow the rules! But as we learned from the Air Avianca filing, at least one lawyer is missing something very basic about what it means to sign a filing in federal court.
...Yet. This isn't a meaningful problem, yet. SimpsonsMeme.jpg
Sarcasm aside, there are already cases (I think at least two) of this happening in the wild, why not nip it in the bud before some high profile event really catapults it into the public eye?
The order, already posted on this thread, lists multiple instances where generative AI would be useful in the law, but also a number of issues that I haven’t seen discussed before.
https://reason.com/volokh/2023/05/27/a-partner-at-a-big-firm...
https://twitter.com/narrowlytaylord/status/16620971840770129...