ΑΙhub.org
 

The Machine Ethics Podcast: 2021 in review with Merve Hickok


by
18 January 2022



share this:

Merve Hickok
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.

2021 in review

In this episode, Ben and Merve are chatting about 2021: EU AI legislation & harmonising AI product markets through policy, the UNESCO principles, systemic dogma, AI ethics in defence, Reith lectures and lethal autonomous weapons, demonstrating values / principles and much more…

Listen to the episode here:

Merve Hickok is the Senior Research Director of the Center for AI and Digital Policy, and the Founder of AIethicist.org. She is a social researcher, consultant and trainer on AI ethics & policy. Her work on AI is focused on bias, social justice, DE&I, public interest and participatory development and governance. She aims to create awareness, build capacity, and advocate for ethical and responsible development & use of AI. She has been recognized by a number of organizations – most recently as one of the 100 Brilliant Women in AI Ethics™ 2021.

Merve is also a Data Ethics Lecturer at University of Michigan, School of Information; Member of the Advisory Board of Turkish Policy Quarterly Journal; Member of the Founding Editorial Board at Springer Nature AI & Ethics journal; Advisor at The Civic Data Library of Context; Member at IEEE work groups on AI standard setting and Open Community for Ethics in Autonomous and Intelligent Systems (OCEANIS) alongside national institutions. Merve is also a member of the Board of Directors at Northern Nevada International Center (NNIC). NNIC serves as a refugee resettlement agency to help displaced persons and victims of human trafficking, as well as organizing programs for international delegations through the U.S. Department of State


About The Machine Ethics podcast

This podcast was created, and is run by, Ben Byford and collaborators. 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.

The goal is to promote debate concerning technology and society, and to foster the production of technology (and in particular: decision making algorithms) that promote human ideals.

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with over 10 years of design and coding experience building websites, apps, and games. In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since then, Ben has talked with academics, developers, doctors, novelists and designers about AI, automation and society.

Join in the conversation with us by getting in touch via email here or following us on Twitter and Instagram.




The Machine Ethics Podcast




            AIhub is supported by:



Related posts :



Policy design for two-sided platforms with participation dynamics: Interview with Haruka Kiyohara

  09 Oct 2025
Studying the long-term impacts of decision-making algorithms on two-sided platforms such as e-commerce or music streaming apps.

The Machine Ethics podcast: What excites you about AI? Vol.2

This is a bonus episode looking back over answers to our question: What excites you about AI?

Interview with Janice Anta Zebaze: using AI to address energy supply challenges

  07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.

How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard

  06 Oct 2025
Early research is only beginning to scratch the surface of how AI technology will truly affect learning and cognition in the long run.

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

  03 Oct 2025
Find out more about research developing scalable and adaptive deep learning frameworks.

Diffusion beats autoregressive in data-constrained settings

  03 Oct 2025
How can we trade off more compute for less data?

Forthcoming machine learning and AI seminars: October 2025 edition

  02 Oct 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 3 October and 30 November 2025.
monthly digest

AIhub monthly digest: September 2025 – conference reviewing, soccer ball detection, and memory traces

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



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence