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The Machine Ethics Podcast: featuring Marc Steen
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society.
Doing ethics with Marc Steen
This episode Marc Steen and Ben chat about: AI as tools, the ethics of business models, writing “Ethics for People Who Work in Tech”, the process of ethics – “doing ethics” and his three step process, misconceptions of ethics as compliance or a road block, evaluating ethical theories, universal rights, types of knowledges, what is the world we’re creating with AI?
Listen to the episode here:
Marc Steen works as a senior research scientist at TNO, a research and technology organization in The Netherlands. He earned MSc, PDEng and PhD degrees in Industrial Design Engineering at Delft University of Technology. He worked at Philips and KPN before joining TNO. He is an expert in Human-Centred Design, Value-Sensitive Design, Responsible Innovation, and Applied Ethics of Technology and Innovation.
Marc’s first book, Ethics for People Who Work in Tech, was published by Taylor & Francis/CRC Press in October 2022.
About The Machine Ethics podcast
This podcast was created and is run by Ben Byford and collaborators. The podcast, and other content was first created to extend Ben’s growing interest in both the AI domain and in the associated ethics. Over the last few years the podcast has grown into a place of discussion and dissemination of important ideas, not only in AI but in tech ethics generally. As the interviews unfold on they often veer into current affairs, the future of work, environmental issues, and more. Though the core is still AI and AI Ethics, we release content that is broader and therefore hopefully more useful to the general public and practitioners.
The hope for the podcast is for it to promote debate concerning technology and society, and to foster the production of technology (and in particular, decision making algorithms) that promote human ideals.
Join in the conversation by getting in touch via email here or following us on Twitter and Instagram.
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