BrAIn seminar | L. Parkkonen: Decoding attention states from MEG with convolutional neural networks

Lauri Parkkonen: Decoding attention states from MEG with convolutional neural networks

Artificial Intelligence (AI) is becoming influential throughout technological society, from transport to healthcare, civil engineering to personal electronics. But, what kind of intelligence does our AI possess?

AI pioneer Judea Pearl has said that the state of the art is just very sophisticated fitting of curves to data. This is a long way from intelligent machines we would wish to have: Artificial cognitive systems that support human cognition, and extend thinking beyond human limitations -- in short, human-compatible AI. In order to chart a course towards AI with true intelligence, an AI that is relatable and can be asked to understand us, its users, we must study brain and AI together. The talks in this seminar show how this can involve study of the brain using AI methods; study of AI as a cognitive science; and study of the interaction of brain and AI.