Debiasing GPT-3 Job Ads
Podcast |
Data Skeptic
Publisher |
Kyle Polich
Media Type |
audio
Categories Via RSS |
Mathematics
Science
Technology
Publication Date |
Oct 10, 2022
Episode Duration |
00:48:57

We hear about the impeccable achievements of GPT-3 models, but such large generative models come with their bias. On the show today, Conrad Borchers, a Ph.D. student in Human-Computer Interaction, joins us to discuss the bias in GPT-3 for job ads and how such large models can be de-biased. Listen to learn more!

This episode currently has no reviews.

Submit Review
This episode could use a review!

This episode could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review