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Submission Summary: 0 pending, 13 declined, 13 accepted (26 total, 50.00% accepted)

Submission + - Several recent studies explore the causes and effects of LLM sycophancy. (ieee.org)

silverjacket writes: Sycophancy in AI, as in people, is something of a squishy concept, but over the last couple of years, researchers have conducted numerous studies detailing the phenomenon, as well as why it happens and how to control it. AI yes-men also raise questions about what we really want from chatbots. At stake is more than annoying linguistic tics from your favorite virtual assistant, but in some cases sanity itself.

Submission + - Research Shows Recommender Systems Can Use AI to Manipulate Our Preferences (ieee.org)

silverjacket writes: Research presented at the International Conference on Machine Learning shows that when recommender systems use reinforcement learning to increase engagement, they can have the side effect of shifting our preferences to increase engagement. The researchers also showed ways to detect and reduce such manipulation. Google and Facebook have used reinforcement learning in their recommender systems but didn't respond to questions.

Submission + - Better Benchmarks for AI (science.org)

silverjacket writes: AI benchmarks have lots of problems. Models might achieve superhuman scores, then fail in the real world. Or benchmarks might miss biases or blindspots. A feature in Science magazine reports that researchers are proposing not only better benchmarks, but better methods for constructing them.

Submission + - AI unmasks anonymous chess players, posing privacy risks (science.org) 1

silverjacket writes: From the story:
An AI has shown it can tag people based on their chess-playing behavior, an advance in the field of “stylometrics” that could help computers be better chess teachers or more humanlike in their game play. Alarmingly, the system could also be used to help identify and track people who think their online behavior is anonymous.

Submission + - Profile of Richard Stallman in Psychology Today (psychologytoday.com)

silverjacket writes:

Stallman is unforgiving in his rhetoric, “but he is also a man who understands that there are complexities of human motivations,” Moglen says. “So let us assume that Richard’s language may be blunt, but I would not necessarily conclude that the idea lying behind it is quite so un-nuanced.” He adds, “It is still, however, judgmental.” As I paid for dinner with a credit card, Stallman thanked me but encouraged me to use cash. I cited skepticism that a record of the meal would be used against me, plus the convenience and flier miles that come with plastic. To which he switched from “politeness” to (I guess) consideration and asked me, “How easily can you be bought?”


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