19 ms·

Anybody measure employees pressured by KPIs for a baseline?

by easeout 7mo ago

phorkyas82 7mo ago
"Just like humans..", was also my first thought. > frequently escalating to severe misconduct to satisfy KPIs Bug or feature? - Wouldn't Wallstreet like that?
- Terr_ 7mo ago
  POSIWID [0] and Accountability Sinks [1] territory, I'm sure LLMs will become the beating hearts of corporate systems designed to do something profitably illegal with deniability. [0] https://en.wikipedia.org/wiki/The_purpose_of_a_system_is_what_it_does https://en.wikipedia.org/wiki/The_purpose_of_a_system_is_wha... [1] https://aworkinglibrary.com/writing/accountability-sinks https://aworkinglibrary.com/writing/accountability-sinks
Frieren 7mo ago
https://en.wikipedia.org/wiki/Whataboutism https://en.wikipedia.org/wiki/Whataboutism
- mrweasel 7mo ago
  I don't think this is "whataboutism", the two things are very closely related and somewhat entangled. E.g. did the AI learn of violate ethical constraints from training data? Another interesting question is: What happens when an unyielding ethical AI agent tells a business owner or manager "NO! If you push any further this will be reported to the proper authority. This prompt as been saved for future evidence". Personally I think a bunch of companies are going to see their profit and stock price fall significantly, if an AI agent starts acting as a backstop for both unethical and illegal behavior. Even something as simple as preventing violation of internal policy could make a huge difference. To some extend I don't even thing that people realize that what they're doing is bad, because humans tend to be a bit fuzzy and can dream up reason as to why rules don't apply or wasn't meant for them, or this is a rather special situation. This is one place where I think properly trained and guarded LLMs can make a huge positive improvement. We're are clearly not there yet, but it's not a unachievable goal.

Anybody measure employees pressured by KPIs for a baseline?

by easeout 7mo ago

Anybody measure employees pressured by KPIs for a baseline?

"Just like humans..", was also my first thought. > frequently escalating to severe misconduct to satisfy KPIs Bug or feature? - Wouldn't Wallstreet like that?

Terr_ 7mo ago
POSIWID [0] and Accountability Sinks [1] territory, I'm sure LLMs will become the beating hearts of corporate systems designed to do something profitably illegal with deniability. [0] https://en.wikipedia.org/wiki/The_purpose_of_a_system_is_what_it_does https://en.wikipedia.org/wiki/The_purpose_of_a_system_is_wha... [1] https://aworkinglibrary.com/writing/accountability-sinks https://aworkinglibrary.com/writing/accountability-sinks

Frieren 7mo ago

https://en.wikipedia.org/wiki/Whataboutism https://en.wikipedia.org/wiki/Whataboutism

mrweasel 7mo ago
I don't think this is "whataboutism", the two things are very closely related and somewhat entangled. E.g. did the AI learn of violate ethical constraints from training data? Another interesting question is: What happens when an unyielding ethical AI agent tells a business owner or manager "NO! If you push any further this will be reported to the proper authority. This prompt as been saved for future evidence". Personally I think a bunch of companies are going to see their profit and stock price fall significantly, if an AI agent starts acting as a backstop for both unethical and illegal behavior. Even something as simple as preventing violation of internal policy could make a huge difference. To some extend I don't even thing that people realize that what they're doing is bad, because humans tend to be a bit fuzzy and can dream up reason as to why rules don't apply or wasn't meant for them, or this is a rather special situation. This is one place where I think properly trained and guarded LLMs can make a huge positive improvement. We're are clearly not there yet, but it's not a unachievable goal.