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.
This episode Nadia and Ben chat about how design can co-create AI, the role of designers in AI services, post-deployment design, narratives in AI development and AI ideologues, anthropocentric AI, augmented creativity, new AI perspectives, situated intelligences and more…
Listen to the episode here:
Nadia Piet is an independent designer, researcher, organizer, and cultural producer with a focus on AI/ML, data, tech, digital culture and creativity. She’s the founder of AIxDESIGN (a community of practitioners & living lab for beyond-corporate AI), holds a MA in Data-Driven Design, and explores playful & purposeful tech through freelance projects and self-initiated experiments. Over the past 10 years, she’s worked as Head of Creative Technology at DEPT (a global digital agency), design researcher for emerging technologies at Bit, and across roles and continents with organizations such as Hyper Island, Pi Campus, Forbes, UN, AWWWARDS, DECODED, MOBGEN | Accenture Interactive, Mozilla, and ICO.
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.