Faculty Assembly President Robin Kear said Pitt has seen a 31% increase in the use of testing services since fall 2022 and an overall 250% increase in Disability Resources and Services accommodations since 2000. “The abilities of schools, departments and individual faculty to meet these testing needs varies widely,” Kear said. “The need for institutional.
and the dangers it poses. now the uk s first ever ai tsar has been appointed to manage those risks and rewards. our technology editor zoe kleinman has been speaking to him and looks at the challenges he faces. the world is waking up to the potential and the dangers of the most advanced forms of artificial intelligence. across the globe, countries are racing to try to both harness and regulate this technology. here, ian hogarth, a tech entrepreneur, is the man appointed by the prime minister to lead the charge on al in the uk, to ensure that it s developed safely. we ve seen the results in terms of how powerful these systems are now, and so the question is, if we keep doing that, and we keep feeling these systems and we keep feeding these systems more and more computing resource, more and more data, and we keep having stronger and stronger incentives for the private sector to accelerate this stuff, when do we cross a line when these
and regulate this technology. here, ian hogarth, a tech entrepreneur, is the man appointed by the prime minister to lead the charge on al in the uk, to ensure that it s developed safely. we ve seen the results in terms of how powerful these systems are now. and so, the question is if we keep doing that, and we keep feeding these systems more and more computing resource, more and more data, and we keep having stronger and stronger incentives for the private sector to accelerate this stuff, when do we cross a line when these systems become dangerous in a new way? where they become, you know, closer to human intelligence or exceed human intelligence? and no one can tell you a definitive answer for when that s going to be. there s another threat, isn t there, which isjobs? there will be winners and losers on a kind of global basis in terms of where the jobs are as a result of ai. we ve got to think about how to protect british jobs, and that s sort of one challenge. we can have to rethink
are racing to try to both harness and regulate this technology. if we keep feeding these systems more and more computing resource, more and more data, and we keep having stronger and stronger incentives, you know, for the private sector to accelerate this stuff, when do we cross a line when these systems become dangerous in a new way? there is another threat, isn t there, which isjobs? there will be winners and losers on a kind of global basis in terms of where the jobs are as a result of ai. artificial intelligence is developed in a computing system called neural networks, inspired by the complex connections between the cells in human brains which enable us to think. ai systems are rapidly improving as they are trained on increasingly vast datasets huge libraries of information which allow them to identify patterns and solve problems, and even learn from their own mistakes. it s got huge potential for good. for instance, in health care, spotting cancer and discovering new drugs.
policy? lots of action on tackling climate change but also any - policy? lots of action on tackling - climate change but also any question about climate change but also any question about whether it is enough and fast enough about whether it is enough and fast enough to about whether it is enough and fast enough to really make a difference, and of enough to really make a difference, and of course the same kind of weather and of course the same kind of weather events happening here in europe, weather events happening here in europe, the acropolis shut as a tourist europe, the acropolis shut as a tourist attraction because it was iiteraiiy tourist attraction because it was literallyjust tourist attraction because it was literally just too tourist attraction because it was literallyjust too hot. we have never literallyjust too hot. we have never seen this before. i think it is going never seen this before. i think it is going to never seen this before. i think it is going