Forward checking is a constraint satisfaction technique used in artificial intelligence to reduce the search space by checking the constraints of future variables as soon as a variable is assigned a value. This proactive approach helps in early detection of conflicts, thus preventing the algorithm from pursuing paths that would inevitably lead to failure.