Showing posts with label David Danks. Show all posts
Showing posts with label David Danks. Show all posts

Friday, November 7, 2025

The ethics of AI, from policing to healthcare; KPBS; November 3, 2025

 Jade Hindmon / KPBS Midday Edition Host,  Ashley Rusch / Producer, KPBS; The ethics of AI, from policing to healthcare

"Artificial intelligence is everywhere — from our office buildings, to schools and government agencies.

The Chula Vista Police Department is joining cities to use AI to write police reports. Several San Diego County police departments also use AI-powered drones to support their work. 

Civil liberties advocates are concerned about privacy, safety and surveillance. 

On Midday Edition, we sit down with an expert in AI ethics to discuss the philosophical questions of responsible AI.

Guest:

  • David Danks, professor of data science, philosophy and policy at UC San Diego"

Tuesday, April 21, 2020

The Ethics of Developing COVID-19 Treatments and Vaccination; Carnegie Mellon University, April 7, 2020

Jason Maderer, Carnegie Mellon University; The Ethics of Developing COVID-19 Treatments and Vaccination

CMU's experts explore the options


"In the rush to do science quickly, Carnegie Mellon University ethicist Alex John London says it is easy to make mistakes. 

"The point of research is to reduce uncertainty — to sort out dead ends from fruitful treatment strategies," said London, the Clara L. West Professor of Ethics and Philosophy and director of the Center for Ethics and Policy. But if you don’t do rigorous science, you can wind up increasing uncertainty, which can actually make things worse."

London’s research in Carnegie Mellon’s Dietrich College of Humanities and Social Sciences focuses on ethical and policy issues surrounding the development and deployment of novel technologies in medicine...

One strategy to expedite the vaccine process for COVID-19 is turning to the power of artificial intelligence (AI). London’s colleague, Carnegie Mellon professor David Danks, looks at the intersection of ethics and machine learning."