The eerie new capabilities of artificial intelligence are about to show up inside a courtroom — in the form of an AI chatbot lawyer that will soon argue a case in traffic court.
That’s according to Joshua Browder, the founder of a consumer-empowerment startup who conceived of the scheme.
The biggest obstacle is that each robotics lab has its own idea of what a conscious robot looks like. There are also moral implications to building robots that have consciousness. Will they have rights, like in Bicentennial Man?
Considerations about conscious robots have been the domain of science fiction for decades. Isaac Asimov wrote several novels, including I, Robot, that examined the implications from the perspectives of law, society, and family, raising a lot of moral questions. Experts in ethical technology have considered and expanded upon these questions as scientists like those in the Columbia University lab work toward building more intelligent machines.
Science fiction has also brought us killer machines like in The Terminator, and conscious robots sound like a good way to have some. Humans might learn bad ideas and act upon them, and there is no reason to believe that robots will not fall into the same trap. Some of science’s greatest minds have warned against getting carried away with artificial intelligence.
The US Supreme Court on Monday rejected a bid by NSO Group to block a WhatsApp lawsuit accusing the Israeli tech firm of allowing mass cyberespionage of journalists and human rights activists.
The Supreme Court denied NSO’s plea for legal immunity and ruled that the case, which targets the company’s Pegasus software, can continue in a California federal court, a court filing showed.
Pegasus gives its government customers—which have allegedly included Mexico, Hungary, Morocco and India—near-complete access to a target’s device, including their personal data, photos, messages and location.
When you donate someone else’s money.
Some charities have voluntarily agreed to return the funds, some have already spent the money, while others are awaiting legal clarity.
In this #webinar, Dr Vincenzo Sorrentino from the Department of Biochemistry and Healthy Longevity Translational Research Programme at the Yong Loo Lin School of Medicine, shared about his research on the relationship between metabolism, nutrition and proteostasis and their impact on health and ageing, and engaged in discussion about the role of mitochondrial proteostasis in ageing and related diseases.
Register for upcoming #HealthyLongevity #webinar sessions at https://nus-sg.zoom.us/webinar/register/7916395807744/WN__sypkX6ZSomc7cGAkK3LbA
In February, an AI from DoNotPay is set to tell a defendant exactly what to say and when during an entire court case. It is likely to be the first ever case defended by an artificial intelligence.
The AI legal service provider DoNotPay aims to get one defendant off the hook for a traffic fine using only their chatbot.
Greg Yang is a mathematician and AI researcher at Microsoft Research who for the past several years has done incredibly original theoretical work in the understanding of large artificial neural networks. Greg received his bachelors in mathematics from Harvard University in 2018 and while there won the Hoopes prize for best undergraduate thesis. He also received an Honorable Mention for the Morgan Prize for Outstanding Research in Mathematics by an Undergraduate Student in 2018 and was an invited speaker at the International Congress of Chinese Mathematicians in 2019.
In this episode, we get a sample of Greg’s work, which goes under the name “Tensor Programs” and currently spans five highly technical papers. The route chosen to compress Tensor Programs into the scope of a conversational video is to place its main concepts under the umbrella of one larger, central, and time-tested idea: that of taking a large N limit. This occurs most famously in the Law of Large Numbers and the Central Limit Theorem, which then play a fundamental role in the branch of mathematics known as Random Matrix Theory (RMT). We review this foundational material and then show how Tensor Programs (TP) generalizes this classical work, offering new proofs of RMT. We conclude with the applications of Tensor Programs to a (rare!) rigorous theory of neural networks.
face_with_colon_three Year 2022
As New York prepares for the imminent launch of legal adult-use marijuana sales, the governor has signed a bill aimed at expanding the state’s hemp market by promoting collaborative partnerships to identify more opportunities to utilize the crop and its derivatives for packaging, construction and other purposes.
Bill sponsor Sen. Michelle Hinchey (D) announced on Tuesday that Gov. Kathy Hochul (D) approved her legislation late last month. It would amend a section of New York’s agriculture law that deals with hemp economic development, mandating that the agriculture commissioner consult with additional partners on ways to incorporate hemp products into business operations throughout the state.
Researchers tested GPT-3.5 with questions from the US Bar Exam. They predict that GPT-4 and comparable models might be able to pass the exam very soon.
In the U.S., almost all jurisdictions require a professional license exam known as the Bar Exam. By passing this exam, lawyers are admitted to the bar of a U.S. state.
In most cases, applicants must complete at least seven years of post-secondary education, including three years at an accredited law school.
