The Machine Ethics podcast: Diversity in the AI life-cycle with Caitlin Kraft-Buchman

The Machine Ethics podcast: Diversity in the AI life-cycle with Caitlin Kraft-Buchman
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.

Diversity in the AI life-cycle with Caitlin Kraft-Buchman

In this episode we’re chatting to Caitlin about gender and AI, that technology isn’t neutral, using technology for good, diversity creation and exploitation, lived experience expertise, co-creating technologies and AI life cycle, importance of success metrics, international treaties on AI, and more…

Listen to the episode here:


Caitlin Kraft-Buchman is CEO/Founder Women at the Table – a gender equality & systems change CSO based in Switzerland and Co-Founder/Leader Alliance for Inclusive Algorithms – a global multidisciplinary coalition of academics, activists, technologists prototyping the future of artificial intelligence and automated decision-making to accelerate gender equality with technology and innovation

Alliance is a leader of the UN’s Generation Equality Action Coalition Technology & Innovation for Gender Equality. Caitlin was co-chair of the Expert Group for the UN Commission on the Status of Women (CSW67) in 2023 with its first ever priority theme of Technology & Innovation.

Caitlin leads the Human Rights Toolbox initiative, an educational platform that supports a global community working for a human rights-based approach to AI – with equity & inclusion at the core of the code.

Women at the Table are a leader of the fr feminist AI research Network, with Hubs in Latin America & the Caribbean, Middle East & North Africa, SouthEastAsia, and sister network in Africa, and serves as Civil Society lead for the World Benchmarking Alliance’s Collective Impact Coalition for Ethical AI.

Caitlin is co-founder of the International Gender Champions (IGC) – with hubs in Geneva, New York, Vienna, Nairobi, The Hague & Paris bringing together female & male heads of organizations, including the UN Secretary-General, to break down gender barriers; she serves on the IGC Global Board, and co-leads the new IGC Impact Group on Digital and New Emerging Technologies with Doreen Bogdan Secretary-General of the International Telecommunication Union. Caitlin is a one of the Network of Experts for UN Secretary General’s AI Advisory Body; a member of UNESCO’s WomenForEthicalAI working group; member of the Gender Advisory Group for the AI Action Summit to be held by the government of France, February 2025 and Co-Chair of the UN Commission on Science & Technology for Development (CSTD)’s Gender Advisory Board.


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

Related articles

Introductory time-series forecasting with torch

This is the first post in a series introducing time-series forecasting with torch. It does assume some prior...

Does GPT-4 Pass the Turing Test?

Large language models (LLMs) such as GPT-4 are considered technological marvels capable of passing the Turing test successfully....