ΑΙhub.org
 

The Machine Ethics Podcast: Work, wellness and creativity with Harriet Pellereau


by
21 December 2023



share this:


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.

Work, wellness and creativity with Harriet Pellereau

This episode we’re chatting with Harriet Pellereau about AI’s lack of reasoning ability, uses of generative AI, creativity and AI (and what even is creativity?), creative duties, new ways of working, digital working, the four-day week, work-life balance, the hidden cost of convenience, responsible tech and more…

Listen to the episode here:

Harriet Pellereau is co-founder and co-CEO of digital habits behaviour change company Mind over Tech. She spent nine years working at award-winning tech education company Decoded. As Teaching Director, she worked closely with corporate clients to build and facilitate transformational courses for senior leadership teams, and led a team of 30+ data scientists to deliver data skills courses to Fortune 500 companies. Harriet has a background as a technologist and digital creative, and started her career developing 3D animations and web experiences for advertising clients, and interactive apps for media companies. As a parent, Harriet is on a mission to improve her own digital habits and to support her young children with theirs, to ensure technology is a positive influence in their lives.


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 :



Interview with Kunpeng Xu: Kernel representation learning for time series

  11 Feb 2025
We hear from AAAI/SIGAI doctoral consortium participant Kunpeng Xu.

The Children’s AI Summit – an event from The Turing Institute

  10 Feb 2025
Find out more about this event held ahead of the Paris AI Action Summit.
coffee corner

AIhub coffee corner: Bad practice in the publication world

  07 Feb 2025
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Explained: Generative AI’s environmental impact

  06 Feb 2025
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

Interview with Nisarg Shah: Understanding fairness in AI and machine learning

  05 Feb 2025
Hear from the winner of the 2024 IJCAI Computers and Thought Award.

Stuart J. Russell wins 2025 AAAI Award for Artificial Intelligence for the Benefit of Humanity

  04 Feb 2025
Stuart will give an invited talk about his work at AAAI 2025.

Forthcoming machine learning and AI seminars: February 2025 edition

  03 Feb 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 3 February and 31 March 2025.

Hanna Barakat’s image collection & the paradoxes of depicting diversity in AI history

  31 Jan 2025
Read about Hanna's artistic process and reflections upon creating new images about AI




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association