Artificial intelligence (AI) has the potential to help every sector of the economy. There is a challenge, though, in sectors that have fuzzier analysis and the potential to train with data that can continue human biases. A couple of years ago, I described the problem with bias in an article about machine learning (ML) applied to criminal recidivism. It’s worth revisiting the sector as time have changed in how bias is addressed. One way is to look at sectors in the legal profession where bias is a much smaller factor.
CERT Systems Inc., a company spun out of the University of Toronto’s Faculty of Applied Science & Engineering, has received support from Breakthrough Energy Solutions Canada to advance an innovative system that transforms carbon dioxide into valuable products.
The company builds on research from two U of T Engineering lab groups, led by Professor David Sinton and University Professor Ted Sargent. CERT is among 10 winners in the competition, each of whom could receive up to $3 million to develop their clean energy technologies.