dimarts, 22 març, 2022
Xerrada realitzada per en Ricardo Baeza-Yates del Institute for Experiential AI de la Northeastern University.
Divendres 25 de març de 2022, d'11:00 a 13:00 -
Doble format presencial (aforament limitat) i virtual via Meet:
Lloc: Sala d'Actes de l'edifici Vèrtex - UPC (soterrani -1)
In the first part we cover five current specific challenges through examples:
- discrimination (e.g., facial recognition, justice, sharing economy, language models);
- phrenology (e.g., biometric based predictions);
- unfair digital commerce (e.g., exposure and popularity bias);
- stupid models (e.g., Signal, minimal adversarial AI) and
- indiscriminate use of computing resources (e.g., large language models).
These examples do have a personal bias but set the context for the second part where we address four generic challenges:
- too many principles (e.g., principles vs. techniques);
- cultural differences;
- regulation and
- our cognitive biases.