ΑΙhub.org
 

The Good Robot Podcast: featuring Lorraine Daston

by
17 November 2022



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, Eleanor and Kerry talk to Lorraine Daston about the exorcism of emotion in rational science (and AI).

Lorraine Daston on the exorcism of emotion in rational science (and AI)

In this episode, the historian of science Lorraine Daston explains why science has long been allergic to emotion, which is seen to be the enemy of truth. Instead, objective reason is science’s virtue. She explores moments where it’s very difficult for scientists not to get personally involved, like when you’re working on your pet hypothesis or theory, which might lead you to select data that confirms your hypothesis, or when you’re confronted with some anomalies in your dataset that threaten a beautiful and otherwise perfect theory. But Lorraine also reminds us that the desire for objectivity can itself be an emotion, as it was when Victorian scientists expressed their heroic masculine self-restraint. She also explains why we should only be using AI for the parts of our world which are actually predictable, and how it’s not just engineers who debug algorithms, now that task is being outsourced to us – the consumers – as we’re the ones who are now forced to flag downstream effects when things go wrong.

Listen to the episode here:

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

Lorraine Daston is Director at the Max Planck Institute for the History of Science, Berlin, and regular visiting professor in the Committee on Social Thought. Her work focuses on the history of rationality, especially but not exclusively scientific rationality. She has written on the history of wonder, objectivity, observation, the moral authority of nature, probability, Cold War rationality, and scientific modernity. Her current book projects are a history of the origins of the scientific community and a reflection on what science has to do with modernity.

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 :



CLAIRE AQuA: AI for citizens

Watch the recording of the latest CLAIRE All Questions Answered session.
06 September 2024, by

Developing a system for real-time sensing of flooded roads

Research fuses multiple data sources with AI model for enhanced sensing of road conditions.
05 September 2024, by

Forthcoming machine learning and AI seminars: September 2024 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 2 September and 31 October 2024.
02 September 2024, by

Causal inference under incentives: an annotated reading list

This annotated reading list is intended to serve as a brief summary of work on causal inference in the presence of strategic agents.
30 August 2024, by

AIhub monthly digest: August 2024 – IJCAI, neural operators, and sequential decision making

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
29 August 2024, by

Air pollution in South Africa: affordable new devices use AI to monitor hotspots in real time

Creating a cost-effective air quality monitoring system based on sensors, Internet of Things and AI.
28 August 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association