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Margaret Mitchell on Large Language Models and Misogyny in Tech

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Manage episode 334204740 series 2933689
Content provided by Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In the race to produce the biggest language model yet, Google has now overtaken Open AI’s GPT-3 and Microsoft’s T-NLG with a 1.6 trillion parameter model. In 2021, Meg Mitchell was fired from Google, where she was co-founder of their Ethical AI branch, in the aftermath of a paper she co-wrote about why language models can be harmful if they’re too big. In this episode Meg sets the record straight. She explains what large language models are and what they do, why they’re so important to Google. She tells us why it's a problem that these models don’t understand the significance or meaning of the data that they are trained on, which means that wikipedia data can influence what these models take to be historical fact. She also tells us about how some white men are gatekeeping knowledge about large language models, as well as the culture, politics, power and misogyny at Google that led to her firing.

  continue reading

79 episodes

Artwork
iconShare
 
Manage episode 334204740 series 2933689
Content provided by Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In the race to produce the biggest language model yet, Google has now overtaken Open AI’s GPT-3 and Microsoft’s T-NLG with a 1.6 trillion parameter model. In 2021, Meg Mitchell was fired from Google, where she was co-founder of their Ethical AI branch, in the aftermath of a paper she co-wrote about why language models can be harmful if they’re too big. In this episode Meg sets the record straight. She explains what large language models are and what they do, why they’re so important to Google. She tells us why it's a problem that these models don’t understand the significance or meaning of the data that they are trained on, which means that wikipedia data can influence what these models take to be historical fact. She also tells us about how some white men are gatekeeping knowledge about large language models, as well as the culture, politics, power and misogyny at Google that led to her firing.

  continue reading

79 episodes

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