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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

coffee corner

AIhub Coffee Corner: does AI change the way we think?

  13 Aug 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Royal Statistical Society AI task force says: AI regulation needs statistics

  12 Aug 2026
Real World Data Science interviewed RSS Task Force Chair Donna Philips.

Interview with Akari Asai – beyond scaling: frontiers of retrieval-augmented language models

  11 Aug 2026
Akari Asai describes the power of Augmented Language Models, and how they have culminated in the flagship application for scientific research, Open Scholar.

How generative AI and physics can help design new antibiotics

  10 Aug 2026
We need new antibiotics and designing them is difficult. A potential solution is to use generative AI models, guided by trained scientists.

Congratulations to the #IJCAI2026 award winners

  07 Aug 2026
The winners of three prestigious IJCAI awards for 2026 have been announced.

The Machine Ethics podcast: Safe and moral AI with Rebecca Raper

In this episode Ben chats with Rebecca about AI governance and guardrails, moral assurance, under-specification problems, lack of interdisciplinary work in robotics, and more.

CogTwin: A framework for adaptable digital twins

  05 Aug 2026
Find out more about work presented at IJCAI 2025 on Cognitive Digital Twins.

Forthcoming machine learning and AI seminars: August 2026 edition

  04 Aug 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence