Machine Commons Podcast, the profound impact of machine learning.
Ok, not the most succinct title. After fielding a few ideas ("Keeping AI on things", "Me, myself and AIrene", "Not so bad robot",...), we decided we should just call it what it is. And it is the Machine Commons Podcast, where we interview guests about the profound impact of machine learning.
Welcome to our 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 they ask the smart and the dumb questions about this profound technology.
The robots are taking over - robotic process automation
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 to society when we train code that programs automations, which generates more data to train code, to create automations, to train code… Our future depends on one thing: our ability to remain in control.
AI, Ethics and Capitalism - tools are just tools
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 2021 - what it is like to 'live with algorithms', and we finish on the idea of 'move fast and break things' and the future of machine learning.
The human problem with artificial intelligence
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 inevitability of the data-fuelled artificial intelligence revolution.