Machine Ethics podcast
This month, with the lead up to the new GDPR European personal data legislation coming in, we talk to digital rights campaigner Ruth Coustick-Deal on everything personal data.
This month I interview Greg Edwards to get to grips with the basics of machine learning. We look at the history of AI, what machine learning consists, try to describe how neuronets work, and discover the new and interesting ideas in AI research.
This month I speak to Charles Radclyffe in Bristol's Engine Shed about dubious business models exploiting technology, differing narratives of tech ethics, using the court for automated car law preemptively and much more.
This episode I share the interviewer responsibilities with Conscious Cities' podcaster Josh Artus. I get to ask Josh some questions and Josh has some for me (Ben Byford). We chatted about: AI data misrepresentation, bias and misuse; mindful technology implementation; using AI for things other than tricking people into looking at adverts; EEG misrepresentation; Bristol is Open and technology used in the public section in our cities; and much more.
Discussing almost coining Machine Ethics, Big Data and social sciences not having the answer to AI ethics, prima facie duties and robots, everything is going to have to have some ethic, and AI as the continuation of humanity into space.
This month I'm talking to Michael Ludden about his work at IBM, what the hell Watson is, AI in culture and creating a positive cultural AI view, as well as using AI in AR and VR projects.
I talk to Alan about how humans should innovate ethically, different standards and the role of standards for designing and building robots, how autonomous systems should be transparent, and how studying robotics enables us to peer into our own behaviours and intelligence.
This month I travel to CogX 2017 in London to do a special report from the conference floor. This episode is a collection of bits of talks and sessions, vox-pops from the CogX attendees and our thoughts on the show.
I chat to Rob about what mind models people have of robots if any? Principles of robotics for creators, intelligence: doing the right thing at the right time, embodied or distributed robots, robot transparency and much more.
Clips from 2016 interviews with Nick Reed, Calum Chace, Cosima Gretton, Lydia Nicholas, Lucy McCormick, Matthew Channon, Sam Hill, and Sam Kinsley.
Interview with Dr Joanna J Bryson talking about her work at Bath University, the new principles of robotics, qualifying definitions of AI, the ethical paradox of living forever, AI as slaves, while trying not to mention Donald Trump.
Interview with Sam Kinsley on AI in Geography, ways of talking about and exploring possibilities of technologies within space, how we talk about technologies in culture, and about the apparent technology optimism in Silicon Valley.
Interview with Sam Hill on Machine suffering, Social / emotional machines, What is AI? Smart machines with dumb jobs, games and simulation, this week's AI news and creating a computer narrative immersive theatre production.
Interview with Matthew Channon talking about EU and UK car legislation for automated cars, insurance industry and automated cars, central governmental insurance fund, car loop systems, cross border insurance, strict liability and much more.
Interview with Lucy McCormick talking about her book on the law of driverless cars, the Google and Tesla car crashes, autonomous car insurance legislation, the Queen's modern transport bill, and much more.
Podcast 4. Talking with Lydia Nicholas on adaptive systems, story telling, machine learning regulation, and managing data bias.
Chatting with Dr Cosima Gretton on AI, Health care and it's current cost structure and technologies, Ethics in education and more...
We discuss differring types of AI and future scenarios, the end of Moore's Law, the possibilities of 'friendly' AI, China's Sesame project and Calum's Books.
Chat with Nick Reed of TRL - we ask hard questions about how the UK are testing automated cars today, discuss recent AI news, blue sky thinking, and chat neural networks and genetic algorithms.