.
@mattbinder reports on fake headline on eX-twitter generated by its chatbot Grok, and how more information here will be generated by an LLM which is, as one must expect if one knows how LLMs work, an avid confabulator (others call it hallucination). As often, hubris about the
ETHICS
-
Grok chatbot generates fake headlines, LLMs prone to confabulation
By
–
-
Big Tech Giants Ignored Policies to Secure AI Training Data
By
–
OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train A.I. @ceciliakang
, @sheeraf
, @stuartathompson
, @nicoagrant and I undercover the race for data: -
LLMs Limitations in Creating Shared Useful Abstractions
By
–
Fictitious entities yes of course. Fictitious entities that become new useful abstractions that everyone talks about, and everyone has a common understanding of them (ie shared): no. Also LLMs don’t spend much time asking people questions so they can learn useful new things to
-
Google Photos facial recognition systems in Israel-Gaza conflict
By
–
Which makes Google photos part of the systems described. See also: https://
theintercept.com/2024/04/05/goo
gle-photos-israel-gaza-facial-recognition/
… -
Prompt Injection Security Vulnerability in AI Access Control Systems
By
–
They're entirely untrustworthy for anything like access control, because whoever gets control of a portion of the input tokens effectively controls the output https://
simonwillison.net/2023/Nov/27/pr
ompt-injection-explained/
… -
Chinese Police Deploy Smart Glasses for Criminal Identification
By
–
Chinese police are using smart-glasses for spot criminals
— Ronald van Loon (@Ronald_vanLoon) 6 avril 2024
by @wef#AI #IoT #ArtificialIntelligence #InternetofThings #Smartcities #FacialRecognition #MachineLearning
cc: @maxjcm @ronald_vanloon @pascal_bornet pic.twitter.com/GHP9t7ODVCChinese police are using smart-glasses for spot criminals
by @wef #AI #IoT #ArtificialIntelligence #InternetofThings #Smartcities #FacialRecognition #MachineLearning cc: @maxjcm @ronald_vanloon @pascal_bornet -
Phone Addiction Myth: Vipassana Retreat Reveals Easier Detox
By
–
"CAN’T LIVE WITHOUT MY PHONE!” is a common reaction when people hear about Vipassana. However, to my surprise, giving up the phone was the easiest part. Once it's gone, you rarely miss it. I guess it reaffirms that we didn’t evolve to incessantly stare at a rectangular device.
-
AI Ethics for Data Journalism: Handling Sensitive Source Material
By
–
I think I may be particularly sensitive to this because I want to apply this stuff to data journalism, and the sources journalists work with frequently contain unpleasant material
-
Product Focus: Ethical Comparison Practices and Stakeholder Communication
By
–
focusing on improving your own product, avoid comparisons. if needed to compare, give the other stakeholders a heads-up and a voice.
-
Stanford Framework Assesses Open vs Closed AI Model Risks
By
–
The debate on openness in AI stems from a lack of precision in claims about its societal impact, according to a recent @StanfordCRFM paper. Here researchers offer a framework for assessing the marginal risk of open vs. closed models: