Ricardo Baeza-Yates: “Ethics in AI: A Challenging Task”
"Different biases affect all of us on the Web. Ricardo Baeza-Yates explains how we can become aware of them and safeguard a concept of ethics in AI."
- Speaker: Ricardo Baeza-Yates, Institute for Experiential AI, Northeastern University, USA
- Moderator: Carlo Ghezzi, Politecnico di Milano, Italy
About the Event
May 4, 2021
5:00 – 6:00 PM
In the first part we cover four current specific challenges: (1) discrimination (e.g., facial recognition, justice, sharing economy, language models); (2) phrenology (e.g., bio-metric based predictions); (3) unfair digital commerce (e.g., exposure and popularity bias); and (4) stupid models (e.g., Signal, minimal adversarial AI). These examples do have a personal bias but set the context for the second part where we address four generic challenges: (1) too many principles (e.g., principles vs. techniques), (2) cultural differences (e.g., Christian vs. Muslim); (3) regulation (e.g., privacy, antitrust) and (4) our cognitive biases. We finish discussing what we can do to address these challenges in the near future.
This might be of your interest: Towards intellectual freedom in an AI Ethics Global Community
Here you can download the slides: Download the slides.
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