Automated Email Generation for Targeted Attacks
The advancement of generative language models has been a force for good, but also for evil. On the show, Avisha Das, a post-doctoral scholar at the University of Texas Health Center, joins us to discu...
31 Okt 202245min
Tribal Marketing
Peter Gloor, a Research Scientist at the MIT Center for Collective Intelligence, takes us on a new world of tribe classification. He extensively discussed the need for such classification on the inter...
24 Okt 202237min
Nano-targetted Facebook Ads
17 Okt 202244min
Debiasing GPT-3 Job Ads
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, joi...
10 Okt 202248min
ML Ops in Production
Moses Guttman from Clear ML joins us to share insights about how organizations leveraging machine learning keep their programs on track. While many parallels exist between the software development li...
6 Okt 202241min
Ad Network Tomography
Data sharing in the ad tech space has largely been a black box system. While it is obvious the data is being collected, the data sharing process is obscure to users. On the show today, Maaz Bin Musa a...
3 Okt 202235min
First Party Tracking Cookies
When you accept cookies on a website, you cannot tell whether the cookies are used for tracking your personal data or not. Shaoor Munir's machine learning model does that. On the show today, the Ph.D ...
26 Sep 202235min
The Harms of Targeted Weight Loss Ads
Liza Gak, a Ph.D. student at UC Berkeley, joins us to discuss her research on harmful weight loss advertising. She discussed how weight loss ads are not fact-checked, and how they typically target the...
19 Sep 202234min
