Vice President Kamala Harris met with civil rights activists, union leaders, and consumer protection organizations on Wednesday for a meeting about AI regulation, as leftists continue to eagerly pursue “machine learning fairness.”
This week we examined the field of Machine Learning Fairness, which seeks to imprint AI programs with leftist assumptions and priorities. Following the money behind the leading organizations of ML Fairness leads to some familiar funding sources, including leftist billionaires Pierre Omidyar, George Soros, and Reid Hoffman.
As eerily human-like AI chatbots exploded into the public consciousness, so too have highly publicized examples of their political bias. Why do AI programs, Microsoft-funded ChatGPT in particular, seem to think like radical Democrat activists? The answer may lie in a obscure academic field that is rapidly rising in prominence. Its name is Machine Learning Fairness, and it is to computer science what critical race theory is to the rest of academia.
Google is attempting to find a new way to measure people’s skin tones, to prevent its products from becoming “biased” against “people of color,” according to a report in Reuters.
(AFP) — The mysterious “Q” behind the QAnon conspiracy movement, which was instrumental in the storming of the US Capitol, is in fact two people, according to Swiss experts.
A Google insider who spoke anonymously to Project Veritas claims that Google-owned video platform YouTube is discriminating against creators who do not meet the tech giant’s political criteria.
The University of Washington Tacoma is working on a tool that will seek out “hate speech” on social media.
Just because your handle is “LibPwner2016” doesn’t mean you’re really anonymous.
South Wales Police have defended their eight-percent accurate facial recognition system, declaring, “no facial recognition system is 100% accurate.”
New York City may soon have its own task force dedicated to ensuring that algorithms used by municipal agencies are acting fairly.
A team of scientists at Carnegie Mellon University has created an algorithm that can detect suicidal thoughts or tendencies in people by analyzing their brain scans.
Google’s artificial intelligence can reportedly make better machine-learning code than the humans who made it.
Google has been releasing new information on its homegrown machine learning chip; but at the same time, most of the original development team have secretly splintered off to form their own project.
Alphabet is doubling down on investments by its subsidiary into artificial intelligence and leveraging a digitized cortex to manage its flagship service.
