https://www.cs.princeton.edu/~arvindn/talks/MIT-STS-AI-snakeoil.pdf Companies advertising AI as the solution to all problems have been helped along by credulous media. As a result, the US public believes that the automation of all jobs is only 10 years away! https://governanceai.github.io/US-Public-Opinion-Report-Jan-2019/us_public_o... policy makers believe that such a radical transformation is imminent, imagine how it would warp our priorities. I believe that that’s actually happeningtoday. [...] For predicting social outcomes, AI is not substantially better than manual scoring using just a few features. [...] Compared to manual scoring rules, the use of AI for prediction has many drawbacks. Perhaps the most significant is the lack of explainability. Instead of points on a driver’s license, imagine a system in which every time you get pulled over, the police officer enters your data into a computer. Most times you get to go free, but at some point the black box system tells you you’re no longer allowed to drive. Unfortunately we actually have this kind of system today in many domains. [...] AI excels at some tasks, but can’t predict social outcomes.We must resist the enormous commercial interests that aim to obfuscate this fact.In most cases, manual scoring rules are just as accurate, far more transparent, and worth considering. ____ Ottima lettura, accurata e comprensibile anche per chi non si occupa professionalmente di informatica. Giacomo