MIT Technology Review has published a compelling review arguing for why human intelligence will be needed to augment AI, particularly as related to the inclusion of causal relationships. Of course, we agree with Gary Marcus which is why Raven Predictive Analytics® SaaS is based on human and machine intelligence to build our cognitive maps.
We can’t trust AI systems built on deep learning alone by Karen Hao
“Gary Marcus is not impressed by the hype around deep learning. While the NYU professor believes that the technique has played an important role in advancing AI, he also thinks the field’s current overemphasis on it may well lead to its demise.  Marcus, a neuroscientist by training who has spent his career at the forefront of AI research, cites both technical and ethical concerns. From a technical perspective, deep learning may be good at mimicking the perceptual tasks of the human brain, like image or speech recognition. But it falls short on other tasks, like understanding conversations or causal relationships. To create more capable and broadly intelligent machines, often referred to colloquially as artificial general intelligence, deep learning must be combined with other methods.” Click here to continue…