ΑΙhub.org
 

The Machine Ethics Podcast: featuring Nadia Piet


by
18 July 2023



share this:

Nadia Piet portrait sketch and machine ethics podcast logo
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.

Design and AI with Nadia Piet

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.


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.




The Machine Ethics Podcast




            AIhub is supported by:


Related posts :



An interview with Nicolai Ommer: the RoboCupSoccer Small Size League

  01 Jul 2025
We caught up with Nicolai to find out more about the Small Size League, how the auto referees work, and how teams use AI.

Forthcoming machine learning and AI seminars: July 2025 edition

  30 Jun 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 1 July and 31 August 2025.
monthly digest

AIhub monthly digest: June 2025 – gearing up for RoboCup 2025, privacy-preserving models, and mitigating biases in LLMs

  26 Jun 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

RoboCupRescue: an interview with Adam Jacoff

  25 Jun 2025
Find out what's new in the RoboCupRescue League this year.

Making optimal decisions without having all the cards in hand

Read about research which won an outstanding paper award at AAAI 2025.

Exploring counterfactuals in continuous-action reinforcement learning

  20 Jun 2025
Shuyang Dong writes about her work that will be presented at IJCAI 2025.

What is vibe coding? A computer scientist explains what it means to have AI write computer code − and what risks that can entail

  19 Jun 2025
Until recently, most computer code was written, at least originally, by human beings. But with the advent of GenAI, that has begun to change.

Gearing up for RoboCupJunior: Interview with Ana Patrícia Magalhães

  18 Jun 2025
We hear from the organiser of RoboCupJunior 2025 and find out how the preparations are going for the event.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence