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Welcome to the Machine Commons podcast, where we explore the various and far reaching impacts of machine learning - the software approach better known as artificial intelligence (or, AI). The world has teetered over an invisible edge, where more of our lives are governed by software that is decreasingly coded and increasingly trained - a world where our governing software 'learns'. It is the technology at the cross section of multiple advanced fields. Come hang out with Alex and Lucie, as th ...
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Sijuade Oguntayo is an AI professional in Nigeria, donating his time to local community initiatives alongside his regular AI projects and passion for computer vision. Food security is a major concern and he tells us how he trained AI to shoot lasers (Skynet anyone? Nervous collar tug). His breadth of experience is fascinating, his broad enthusiasms…
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Albert Yumol is an activist who exposes corruption with data science. He teaches Filipinos - literally door knocking at times - about the importance of data privacy. This task is made mildly more difficult by the fact that people in the Phillipines don't really have the concept of 'self'. His mitigation: that privacy is in fact a 'we' thing (not an…
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Chris and Henk lead GRN - a robotic process automation consultancy. At the heart of every business is people. Every person's workday is comprised of processes. How many of these processes can be automated? What happens to the people when they are? Our conversation climaxes when discussing the intersection of machine learning and RPA: what happens t…
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Tony Tong is a risk taker because it's less risky to take risk. He's a Google Explore machine learning facilitator, a software engineer at Rakuten Asia and volunteer at Omdena. He's a capitalist at heart but with an eye for social good. He argues data science is simply a tool and that 'good' comes down to intent. We begin by talking about life in 2…
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Marijn Markus, artificial intelligence leader at Capgemini Netherlands - a major management consultancy, talks us through the human problems in AI. We explore bias, the cruciality of diverse teams, the need to put agendas on the table, the insanity of innovation KPIs, the mutual exclusivity of privacy versus transparency, and the general inevitabil…
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Welcome to the Machine Commons podcast, explore the various and far reaching impacts of machine learning - the software approach better known as artificial intelligence (or, AI). The world has teetered over an invisible edge, where more and more of our lives are governed by software that is decreasingly coded explicitly and increasingly trained - a…
  continue reading
 
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