Before revision:  We propose quality diversity (QD) algorithms as a method for simultaneously exploring both environments and human actions to discover diverse failure scenarios .
After revision:  We propose quality diversity (QD) problem, where the goal is to discover diverse failure scenarios by simultaneously exploring both environments and human actions to discover diverse failure scenarios .