Abstract

Artificial Intelligence is now smarter than ever, showing human-like abilities at complex tasks such as images classification or natural language processing. But despite its recent advances, it's still not a silver bullet. This talk will present a few challenges in the research and development of artificial intelligence that slow down its progress and adoption. In particular, problems around fairness, the training of models and how to share them will be introduced as well as possible Free Software solutions.