ΑΙhub.org
 

The Machine Ethics podcast: Running faster with Enrico Panai


by
13 February 2025



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.

Running faster with Enrico Panai

This episode we’re chatting with Enrico Panai about the elements of the digital revolution, AI transforming data into information, human-computer interaction, the importance of knowing the tech as a tech philosopher, that ethicists should diagnose not judge, quality and making pasta, whether ethics is really a burden for companies or if you can run faster with ethics, and finding a Marx for the digital world.

Listen to the episode here:


Enrico Panai is an AI ethicist with a background in philosophy and extensive consulting experience in Italy. He spent seven years as an adjunct professor of Digital Humanities at the University of Sassari. Since moving to France in 2007, he has continued his work as a consultant. In 2017, he studied Strategies for Cyber Security Awareness at the Institut National de Hautes Études de la Sécurité et de la Justice in Paris. Holding a PhD in Cybergeography and AI Ethics, he is the founder of the consultancy BeEthical.be. He serves as a professor of Responsible AI at EMlyon Business School, ISEP in Paris, and La Cattolica in Milan. Additionally, he is the president of the Association of AI Ethicists.

Currently, his main role is as an officer of the French Standardization Committee for AI and convenor of the working group on fundamental and societal aspects of AI at the European CEN-CENELEC JTC21—the European standardization body focused on producing deliverables that address European market and societal needs. Among the core standards managed are Trustworthiness of AI, Competences of professional AI ethicists and Sustainable AI. His main research interests concern cyber-geography, human-information interaction, philosophy and ethics of information and semantic capital.

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 :



monthly digest

AIhub monthly digest: May 2025 – materials design, object state classification, and real-time monitoring for healthcare data

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

Congratulations to the #AAMAS2025 best paper, best demo, and distinguished dissertation award winners

  29 May 2025
Find out who won the awards presented at the International Conference on Autonomous Agents and Multiagent Systems last week.

The Good Robot podcast: Transhumanist fantasies with Alexander Thomas

  28 May 2025
In this episode, Eleanor talks to Alexander Thomas, a filmmaker and academic, about the transhumanist narrative.

Congratulations to the #ICRA2025 best paper award winners

  27 May 2025
The winners and finalists in the different categories have been announced.

#ICRA2025 social media round-up

  23 May 2025
Find out what the participants got up to at the International Conference on Robotics & Automation.

Interview with Gillian Hadfield: Normative infrastructure for AI alignment

  22 May 2025
Kumar Kshitij Patel spoke to Gillian Hadfield about her interdisciplinary research, career trajectory, path into AI alignment, law, and general thoughts on AI systems.

PitcherNet helps researchers throw strikes with AI analysis

  21 May 2025
Baltimore Orioles tasks Waterloo Engineering researchers to develop AI tech that can monitor pitchers using low-resolution video captured by smartphones

Interview with Filippos Gouidis: Object state classification

  20 May 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence