
Sign up to save your podcasts
Or


Are AI giants really building trustworthy systems? A groundbreaking transparency report by Stanford, MIT, and Princeton says no. In this episode, we expose the shocking lack of transparency in AI development and how it impacts bias, safety, and trust in the technology. We’ll break down Gary Marcus’s demands for more openness and what consumers should know about the AI products shaping their lives.
Check our new YouTube channel https://www.youtube.com/@DataScienceatHome and Subscribe!
Cool links
By Francesco Gadaleta4.2
7171 ratings
Are AI giants really building trustworthy systems? A groundbreaking transparency report by Stanford, MIT, and Princeton says no. In this episode, we expose the shocking lack of transparency in AI development and how it impacts bias, safety, and trust in the technology. We’ll break down Gary Marcus’s demands for more openness and what consumers should know about the AI products shaping their lives.
Check our new YouTube channel https://www.youtube.com/@DataScienceatHome and Subscribe!
Cool links

1,283 Listeners

392 Listeners

477 Listeners

625 Listeners

1,827 Listeners

285 Listeners

301 Listeners

341 Listeners

146 Listeners

268 Listeners

210 Listeners

89 Listeners

97 Listeners

209 Listeners

558 Listeners