Gadgetory

my name is Manuela Veloso and the current head of the machine learning department at Carnegie Mellon University in the future I believe that there will be these coexistence between humans and these artificial intelligence systems that will be hopefully of service to humanity and these AI systems will involve systems that only handle the digital world but there will be also systems that move around like drones and robots and autonomous cars so you have these intelligence in the physical world too not only on your cell phone on on your computer but also more present around us in any environment so what I'm very much we're working on is the fact that I would like these machines to be able to explain themselves so to be accountable for the decisions they make to be transparent when Kobalt my robot arrives to my office slightly late you can say why are you late or which route did you take because this problem these issues that the robot when it moves in the building I cannot see the robot and therefore when it appears in front of my office I would like to know more about what did it do what it's actually encountered on its experience by itself coming from my lab to my office that makes us eventually the humans trust more these robots trust more these machines because is AI systems they are able to explain what's behind their decisions or what's behind their inferences or what's behind their suggestions but I do believe the same way that humans have limitations I speak with an accent I don't play squash as well as someone else that we that these robots will also have limitations Alexa for example cannot scramble eggs which is perfectly fine as it doesn't have the ability to move from place to place so there is this concept of AI systems they have to be in symbiosis with everything else with other information on the web with other AI systems with humans next to them with humans remote and becomes now not a problem of actually developing the AI system to be self-contained and all with all the knowledge there and all the capabilities but now it's just an AI system that can recognize and tell when it does not know or it needs more information or I think these with some probability but it's not that it can solve all the problems upfront but it can rely on all these other sources around it the general AI problem is extremely challenging and extremely exciting now because there is so much data there's so much data there's so many people using the digital devices we have seen a great success on these assistant the intelligent assistance but eventually more and more as the time goes we are doing a lot of research on these AI systems having impact on problems more broad in society the deciding traffic in a big city or deciding or making great predictions about climate and making recommendations about all sorts of like decisions and supporting humans in great decisions they have to make about complicated and very complex systems I really think that the autonomous systems the research we do in autonomous systems autonomous cars autonomous robot it's a call to humanity to be responsible it was invented by us by humans it didn't come from the sky from aliens it's our own discovery it's the human mind that conceived such technology so it's up to the human mind also and humanity to make good uses and responsible users and beneficial uses of this technology and I have a lot of trust that this will happen you you you