 Welcome back to the AI for good global summit here in Geneva on day two, of course And one of the speakers is with me now. It's Maurizio Viccione who's executive vice president of the global good fund So you just come from giving a speech. How did it get? Well, I think it went well, you know, it was in a controversial topic, which is the sort of the role of data including all of the implication around privacy and data curation In machine learning and artificial intelligence and I think that may be the next frontier now that the algorithms are shaping up The real next innovation is going to come from data. So So that was an interesting topic. I think our audience needs to know what the global good fund is. Sure it's a sister organization to the Gates Foundation and So we're using philanthropic funding from Mr. Gates and his charitable trust to really drive science and technology in areas that Are too high risk for traditional players to do But hopefully have high potential for impact and return and of course we're doing this for philanthropic purposes So it's for greater good public good I think what solutions in particular for the emerging markets is about a pink world I guess is the politically correct word. Yeah, yeah, correct. Our focus is low and middle-income countries Basically, it's the bottom billion people And when you actually do the math is more like the bottom four billion people and if you think about it that's the majority of the people on the planet and Most of them have been passed by by all the innovation in science and technology that we take for granted in the first world So part of global goods goal is to use the power of invention To really sort of rectify that and to try to find catalytic innovations that can change health care Can change agricultural productivity for the better and in machine learning and artificial intelligence takes a particular Strong role there. Give me a case study Sure. Well, for example We were behind the breakthrough in cervical cancer a care, which is a second leading cause of mortality in women Primarily 85% of that burden in low resources because women in the first world get screened In the developing world they very rarely get screened So there are millions of women that will die because of lack of screening and the breakthrough we had was in collaboration with the National Cancer Institute in the US of essentially having a piece of software using machine learning on a camera phone that Allows you to screen for cervical cancer better than the most advanced laboratory techniques that exist today So it's actually better than the pap smear or other psychology-based tests that would be the standard of care in Switzerland or in in the States and Simple camera phone with artificial intelligence Outperforms that and that's a case study of a piece of innovation, which is now scaling globally in partnership with the WHO and Unitate and Chai As a new sort of standard of care. That's an example of a catalytic invention But that's positive. So what's your negative concerns that you raised? I don't actually have a lot of negative concerns, but anytime you're talking about privacy and data and essentially Collecting and aggregating large data sets. There are those that would worry about how it's data collected the ethics The privacy issues should governments own this data or is it really the patient's data? And of course, you don't get a lot of this conversation in low and middle-income countries So it tends to be a concern primarily in the first world, but there are clearly ethical considerations to the idea that as data sets become more powerful and The discovery in areas like medicine including the companies of tomorrow are Predicated on the availability of that data then should the people who want the data Benefit somehow and that's an interesting exploration here at EITU today So I know you can't stay for the whole event, but what would you like its conclusions to be at the end from what? Well, I think there's some obvious conclusions that the early successes in in AI for good are starting to show in medicine specifically and those Clearly are indicating the power of collaborative Ecosystems it is not possible for one company one organization to essentially own Both the data the data curation the clinical information and the clinical solutions So I think the the spirit of the meeting as well as the direction that I think we're all driving is one of Collaboration and the role of the UN system to be sort of a broker of those collaboration I think there is some really encouraging early signs whether it be at ITU at WHO at UN, you know within the SDG complex to really sort of drive consortia and collaboration abilities that can federate companies can federate academic researchers can if it can federate clinical researchers For the sort of greater good, and I think the conference is particularly Timely and well positioned to act as catalysts for that Okay. Well, that was Maritsevich Choney who's from the global good fund. Thank you very much for your time. My pleasure