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.
Ricardo Baeza-Yates (Institute for Experiential AI, Northeastern University, USA, )
Moderator: Carlo Ghezzi (Politecnico di Milano, Italy)
WHEN AND WHERE
May 4th, 15.00 CEST (11.00 am Santiago, Chile)