Removing human bias from predictive modeling  October 30, 2019 Predictive modeling is increasingly being employed to assist human decision-makers. However, there is growing recognition that employing algorithms does not remove the potential for bias and can even amplify it if the training data were generated by a process that is itself biased. Researchers at the University of Pennsylvania propose a method to eliminate bias from predictive models by removing all information regarding protected variables from the data to which the models will ultimately be trained. Motivated by models currently in use in the criminal justice system that inform decisions on pre-trial release and parole, they […]

Scientists Have Invented a Software That Can ‘See’ Several Minutes Into The Future

Science Alert  June 14, 2018 Researchers in Germany wanted to see if a program could list a sequence of actions up to five minutes into the future based on watching the first few steps of an activity. They trained software to guess what a chef would do next by showing it a number of videos of people making breakfast or a salad. They then showed the program a completely new video of another person preparing a similar meal, and watched how it guessed upcoming steps and their respective duration. One approach anticipated future actions and reflected before anticipating again, and […]