ETHICS - AI Dynamics

Survivorship Bias and Superstition in Startup Learning

By

–

11 November 2022 16h16

Learning from successful founders & companies often leads us into traps. We pick bad examples and learn the wrong lessons. Worse, even knowing that we make these mistakes doesn't seem to help much. I discuss the research, and some potential solutions: https://
open.substack.com/pub/oneusefult
hing/p/when-survivorship-bias-meets-superstitious?r=i5f7&utm_campaign=post&utm_medium=web
…

→ View original post on X — @emollick

11 November 2022

Code is Law Philosophy Fails Without Bug Regulation

By

@simonw

–

11 November 2022 15h02

"You can't regulate devs to not have bugs" Which is exactly why I won't have anything to do with crypto or DeFi or any thing that thinks "code is law" is a good idea

→ View original post on X — @simonw

11 November 2022

Sky Limits: The Irony of Sustainability Ambitions

By

@johnchavens

–

11 November 2022 14h51

Just occurred o me the phrase, “the sky is the limit” may be wildly accurate but also deeply ironic as a phrase for sustainability efforts.

→ View original post on X — @johnchavens

11 November 2022

CDEIUK Launches Red-Teaming Recruitment for Privacy-Enhancing Technologies

By

@lawrennd

–

11 November 2022 9h08

The @CDEIUK has also launched it's recruitment process for red-teaming these projects. https://
ktn-uk.org/news/red-team-
registration-uk-privacy-enhancing-technologies-challenge-prize/
…

→ View original post on X — @lawrennd

11 November 2022

Data Quality Critical: Flawed Input Ruins AI Systems

By

@jeggers

–

11 November 2022 4h56

Y'all know my #AI trinity: chicken (algorithm), eggs (data), & bacon (objective). Here's an example of rotten eggs: https://
bit.ly/3WUGCGs You need to know the data going into your AI for BOTH training and input. This was flawed automated input & could have easily been expected.

→ View original post on X — @jeggers

11 November 2022

Future Fund crisis threatens NeurIPS ML Safety workshop grants

By

@thegautamkamath

–

11 November 2022 4h04

"…there are many committed grants that the Future Fund will be unable to honor." The #NeurIPS2022 ML Safety Workshop (
https://
neurips2022.mlsafety.org) had an eye-watering $100k of awards for best papers and AI risk analyses. Given all the turmoil, I presume these are getting the axe?

→ View original post on X — @thegautamkamath

11 November 2022

Sarcasm Detection Limits: Why Humans Struggle Online

By

@emollick

–

11 November 2022 3h52

The Twitter blue check parody explosion hits humans in a communication weak spot: we can’t tell what is sarcastic in written communication! Even worse, we absolutely think we can, but when tested we are no better than chance. Plus, older people are even worse than younger ones.

→ View original post on X — @emollick

11 November 2022

ML Insights on Overfitting Apply Beyond Machine Learning Systems

By

@karpathy

–

11 November 2022 2h37

Excellent post about applying insights from ML (overfitting control) to a much broader class of systems that optimize against an objective: politics, science, orgs, daily life. Underfitting is underrated.

→ View original post on X — @karpathy

11 November 2022