Nicole Shanahan: "When it Comes to AI, ‘Garbage-In … Garbage-Out.’"

Nicole Shanahan highlights the dangers of using biased or incomplete data in #AI. Censorship can lead not only to inaccurate analyses but also to the true causes remaining hidden.

Causal factors of disease are at the heart of our research. We're looking forward to working with more people of influence to stop the avalanche of childhood health epidemics.

How can we get useful information if AI content is censored from the start? What’s a better path forward? #DataEthics

Full Video ➡️ https://www.kennedy24.com/ai-conversation