our first AB position paper is out: https://www.w3.org/TR/llms-standards/

we tried to very briefly discuss LLMs in the standards process: where they could work and where they could be a problem, including guardrails to do it “responsibly”.

finding common ground in the AB is part of what we do and I'm glad our first attempt was published today!

Use of Large Language Models in Standards Work

As Large Language Models (LLMs) become increasingly synonymous with “AI”, and are used by people within our community, we want to highlight considerations around different ways in which LLMs can be useful or problematic when it comes to leveraging them in standards work at W3C.

@hdv Where can we file suggested edits?

• “In addition to basic spellchecking, and editing […]” Existing deterministic algos already do this well, without emptying lakes.

• “[…] they're a great tool to use when trying to come up with human friendly names […]” This sounds like an explicit recommendation, which, feh.

• Since sustainability was considered out of scope for this issue, would like to ref for balance consideration: https://github.com/w3c/ai-accessibility/issues/15

@aardrian feel free to file in https://github.com/w3c/ab-public/ (or let me know if you're happy for me to do so on your behalf, not intending to steal your thunder)
@hdv Thanks!
Edits for spellchecking, naming, sustainability · Issue #308 · w3c/AB-public

Seeing the Use of Large Language Models in Standards Work Note today for the first time. I have two suggested edits and one related issue. “In addition to basic spellchecking, and editing […]” I'm ...

GitHub
@aardrian thanks for taking the time!