ΑΙhub.org
 

The Good Robot Podcast: featuring Mar Hicks on the unexpected history of computing


by
31 August 2023



share this:
Space scene with words Good Robot Podcast

Hosted by Eleanor Drage and Kerry Mackereth, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. In this episode, Mar Hicks talks about the unexpected history of computing.

Mar Hicks on the unexpected history of computing

In this episode, we talk to Mar Hicks, an Associate Professor of Data Science at the University of Virginia and author of Programmed Inequality: How Britain Discarded Women Technologists and Lost its Edge in Computing. Hicks talks to us about the lessons that the tech industry can learn from histories of computing, for example: how sexism is an integral feature of technological systems and not just a bug that can be extracted from them; how techno-utopianism can stop us from building better technologies; when looking to the past is useful and when it’s not helpful; the dangers of the ‘move fast and break things’ approach where you just build technology just to see what happens; and whether regulatory sandboxes are sufficient in making sure that tech isn’t deployed unsafely on an unsuspecting public.

Listen to the episode here:

Mar Hicks is a historian of technology, gender, and labor, specializing in the history of computing. Hicks’s book, Programmed Inequality (MIT Press, 2017) investigates how Britain lost its early lead in computing by discarding the majority of their computer workers and experts–simply because they were women. Their current project looks at transgender citizens’ interactions with the computerized systems of the British welfare state in the 20th century, and how these computerized systems determined whose bodies and identities were allowed to exist. Hicks’s work studies how collective understandings of progress are defined by competing discourses of social value and economic productivity, and how technologies often hide regressive ideals while espousing “revolutionary” or “disruptive” goals. Hicks is also co-editing a volume on computing history called Your Computer Is On Fire (MIT Press, 2020). They run the Digital History Lab at Illinois Tech and maintain a site about their research and teaching.

For the reading list and transcript for this episode, visit The Good Robot website.

About The Good Robot Podcast

Dr Eleanor Drage and Dr Kerry Mackereth are Research Associates at the Leverhulme Centre for the Future of Intelligence, where they work on the Mercator-Stiflung funded project on Desirable Digitalisation. Previously, they were Christina Gaw Postdoctoral Researchers in Gender and Technology at the University of Cambridge Centre for Gender Studies. During the COVID-19 pandemic they decided to co-found The Good Robot Podcast to explore the many complex intersections between gender, feminism and technology.




The Good Robot Podcast




            AIhub is supported by:


Related posts :



Optimizing LLM test-time compute involves solving a meta-RL problem

  20 Jan 2025
By altering the LLM training objective, we can reuse existing data along with more test-time compute to train models to do better.

Generating a biomedical knowledge graph question answering dataset

  17 Jan 2025
Introducing PrimeKGQA - a scalable approach to dataset generation, harnessing the power of large language models.

The Machine Ethics podcast: 2024 in review with Karin Rudolph and Ben Byford

Karin Rudolph and Ben Byford talk about 2024 touching on the EU AI Act, agent-based AI and advertising, AI search and access to information, conflicting goals of many AI agents, and much more.

Playbook released with guidance on creating images of AI

  15 Jan 2025
Archival Images of AI project enables the creation of meaningful and compelling images of AI.

The Good Robot podcast: Lithium extraction in the Atacama with Sebastián Lehuedé

  13 Jan 2025
Eleanor and Kerry chat to Sebastián Lehuedé about data activism, the effects of lithium extraction, and the importance of reflexive research ethics.

Interview with Erica Kimei: Using ML for studying greenhouse gas emissions from livestock

  10 Jan 2025
Find out about work that brings together agriculture, environmental science, and advanced data analytics.

TELL: Explaining neural networks using logic

  09 Jan 2025
Alessio and colleagues have developed a neural network that can be directly transformed into logic.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association