The meetings are the latest piece of the administration’s push to understand and eventually regulate the wide-ranging impacts the technology has on the country. ...
Professor Fei-Fei Li, one of the experts who participated in the meeting, described the conversation as “extremely engaged,” with the president “not just listening but asking questions.”
“It was very, very balanced and thoughtful,” Li said about the tone of the conversation with Biden. ...
The Biden administration’s newest steps will build on the existing “Blueprint for an AI Bill of Rights,” a set of principles released in October that seek to guide the administration’s approach to ensuring privacy and equity alongside the use of the technology. These guidelines warn against algorithmic discrimination, urge data protection and underscore human alternatives to AI abilities. Biden has also signed an executive order that directs federal agencies to rid new technologies of bias. ...
The U.S. is also playing catch-up internationally on the topic, as China and the EU have either passed legislation or set rules putting guardrails on the use of AI. Individual states have already pushed to regulate AI, including Colorado, which passed a law in July 2021 that requires insurance companies to test algorithms for bias. ...
... "Jensen Huang showed me what [animation] could look like, with better shading, with better dimensions. These look like the original steamboat Mickey Mouse," Cramer said. "I don't think people are willing to accept that anymore." ...
... Zimmermann and Hudson’s presentation probed how AR documentary has become a way to engage viewers on site as well as online. Their argument expands beyond conventional conceptions of AR as a mobile app to consider other ways that material and perceptual reality can be augmented by virtual and machine-generated layers through projection mapping of digital images onto physical objects such as buildings, alongside individual private AR on an app or laptop. They analyze how machine vision can visualize invisible histories, such as extinct natural and built environments as well as invisible realities such as air pollution. ...
... The company’s defence platform, Skyral, is based on the same technology as its metaverse technology, M2, and allows for the creation of complex synthetic environments. Improbable says: “Skyral is field tested and can be hosted and deployed wherever it’s needed, from hyper-scale cloud on sovereign soil to the bandwidth-denied environments of the battlefield.”
Peter Lipka, COO of Improbable, said: “We are very confident that with the support of NOIA, the business is on a great path moving forward to being one of the first new prime contractors in decades in the UK market. Improbable continues to transform to deepen its focus on the metaverse.” ...
... Biden is meeting on Tuesday at the Fairmont hotel in San Francisco with Tristan Harris, executive director of the Center for Human Technology; Jim Steyer, the CEO of Common Sense Media; and Joy Buolamwin, founder of the Algorithmic Justice League, among others. ...
The AI era promises a flood of disinformation, deepfakes, and hallucinated “facts.” Psychologists are only beginning to grapple with the implications.
... “I would like to see people collect actual data on people’s psychological state, personalities, their mental health as a function of their engagement with AI,” Graziano says. “What does that do? Does it actually improve things in some ways and harm things in other ways? Is it dependent on the particular personality or particular socio-economic status of a person? There’s this giant area that isn’t studied.”
Kosinki says people are just starting to see how quickly these AI systems are advancing, and they’re just going to keep becoming more complex and capable of more things. The world might look a lot different in just a year, and there’s no saying what it will look like further down the road.
“We are sliding, very quickly, towards an AI-controlled and AI-dominated world,” Kosinki says.
... When students step into a classroom, read assigned books, or meet with a professor during office hours, those students are engaged in knowledge transfer. It is not just the knowledge gained in the transferring of knowledge, but also bringing disparate pieces of knowledge together to form cohesive and sometimes innovative output.
Students who become too dependent upon AI in college and who are not gaining knowledge and learning how to solve problems may find themselves facing difficulty within their future careers. If you find yourself using AI and producing output such as papers and other academic work that you do not understand or cannot validate, that may be a sign that you are depending upon AI output that you cannot defend. ...
