Despite the current fascination with Artificial Intelligence (AI), misconceptions abound about its current state and future capacities, suggests Berkeley’s Michael Jordan, a pathbreaking researcher in Machine Learning (ML) in the inaugural issue of Harvard Data Science Review (HDSR).
“The idea that our era is somehow seeing the emergence of an intelligence in silicon that rivals our own entertains all of us, enthralling us and frightening us in equal measure. And, unfortunately, it distracts us,” writes the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics in his article Artificial Intelligence—The Revolution Hasn’t Happened Yet
In an accompanying commentary in response to an exchange with intellectuals in the field, Dr. AI or: How I Learned to Stop Worrying and Love Economics, Professor Jordan notes the importance of considering the larger systems and infrastructures in which AI operates as well as other forms of intelligence, such as economic markets.