The Center for Internet and Society at Stanford Law School is a leader in the study of the law and policy around the Internet and other emerging technologies.
"Last Saturday tech billionaire and SpaceX chief executive Elon Musk tweeted a warning that there is “vastly more risk” associated with artificial intelligence than with North Korea along with an image bearing the words “In the end the machines will win”. Read more about Sorry Elon Musk, the machines will not win
"As it stands, AIs in the US cannot be awarded copyright for something they have created. The current policy of the US Copyright Office is to reject claims made for works not authored by humans, but the policy is poorly codified. According to Annemarie Bridy, a professor of law at the University of Idaho and an affiliate scholar at Stanford University’s Center for Internet and Society, there’s no actual requirement for human authorship in the US Copyright Act. Nevertheless, the “courts have always assumed that authorship is a human phenomenon,” she says." Read more about If an AI creates a work of art, who owns the rights to it?
"“There is no possible way to have some omnibus AI law,” says Ryan Calo, a professor of law and co-director of the Tech Policy Lab at the University of Washington. “But rather we want to look at the ways in which human experience is being reshaped and start to ask what law and policy assumptions are broken.”" Read more about Can Government Keep Up with Artificial Intelligence?
"Musk has spoken out before about AI end times, in 2014 he likened working on the technology to “summoning the demon.” His propensity for raising sci-fi scenarios comes despite being very directly exposed to some of the near-term questions raised by artificial intelligence. “It’s always interesting hearing Elon Musk talk about AI killing us when a person died in a car he built that was self-driving,” says Ryan Calo, who works on policy issues related to robotics at the University of Washington." Read more about Elon Musk's Freak-Out Over Killer Robots Distracts from Our Real AI Problems
"Arvind Narayanan, assistant professor in computer science at Princeton said, “We have a situation where these artificial intelligence systems may be perpetuating historical patterns of bias that we might find socially unacceptable and which we might be trying to move away from.”" Read more about Perpetuating Bias: Why We Should Think Critically About Artificial Intelligence in Marketing
""To have 100 people [at Carnegie Mellon] and to take 40 is rather dramatic," said University of Washington law professor Ryan Calo, who co-authored a paper on the pitfalls of the sharing economy, over the phone. "I do think that in many contexts Uber has been somewhat predatory, so it doesn't surprise me. Uber seems to live larger than life in this way." Read more about Uber’s AI Hub in Pittsburgh Gutted a University Lab—Now It’s in Toronto
"These biases range from the morally neutral to the objectionable views – preference for birds over animals to views on race and gender. “We have a situation where these artificial intelligence systems may be perpetuating historical patterns of bias that we might find socially unacceptable and which we might be trying to move away from,” said Arvind Narayanan, Assistant Professor at Princeton University." Read more about Artificial Intelligence based systems can gain human biases
"“A major reason we chose to study word embeddings is that they have been spectacularly successful in the last few years in helping computers make sense of language,” said Arvind Narayanan, a computer scientist at Princeton University and the paper’s senior author." Read more about AI programs exhibit racial and gender biases, research reveals
""Questions about fairness and bias in machine learning are tremendously important for our society," said researcher Arvind Narayanan, an assistant professor of computer science and an affiliated faculty member at the Center for Information Technology Policy (CITP) at Princeton University, as well as an affiliate scholar at Stanford Law School's Center for Internet and Society. Read more about Biased bots: Human prejudices sneak into artificial intelligence systems
"Patrick Lin, an Associate Professor at California Polytechnic State University, believed that the principle is too ambiguous. Read more about Can We Properly Prepare For The Risks Of Superintelligent AI?
