Data Skeptic

Data Skeptic serves as a platform offering a viewpoint of scientific skepticism on subjects within statistics, machine learning, big data, artificial intelligence, and data science. Through its weekly podcast and blog, it presents narratives and guides to navigate the intricacies of our data-centric environment.

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!