Smart Systems, Blind Spots: Bias in Artificial Intelligence

This webinar explores the complex relationship between human cognitive biases and artificial intelligence systems. While AI is often perceived as objective, it frequently reflects and amplifies the biases embedded in data, design choices, and human decision-making processes.
Participants will gain a clear understanding of how bias enters AI systems, how it influences automated decisions, and what risks it poses in high-stakes contexts such as law enforcement, healthcare, and legal assessment. The session will also examine real-world examples, highlighting both subtle and systemic distortions.
Special attention will be given to practical strategies for identifying, interpreting, and mitigating bias, integrating psychological insight with technological awareness. The goal is to equip professionals with critical tools to evaluate AI outputs more rigorously and responsibly.

Speakers:
Dott. Francesco Galvano
Dott.ssa Alessia Dorigoni