The technical skills of programmer John Carmack helped create the 3D world of Doom, the first-person shooter that took over the world 25 years ago. But it was level designers like John Romero and American McGee that made the game fun to play. Level designers that, today, might find their jobs threatened by the ever-growing capabilities of artificial intelligence.
One of the many reasons Doom became so incredibly popular was that id Software made tools available that let anyone create their own levels for the game, resulting in thousands of free ways to add to its replay value. First-person 3D games and their level design have advanced by leaps and bounds since the original Doom’s release, but the sheer volume of user-created content made it the ideal game for training an AI to create its own levels.
Researchers at the Politecnico di Milano university in Italy created a generative adversarial network for the task, which essentially uses two artificially intelligent algorithms working against each other to optimise the overall results. One algorithm was fed thousands of Doom levels which it analysed for criteria like overall size, enemy placement, and the number of rooms. It then used what it learned to generate its own original Doom levels.
He talks of a species propelling itself toward “desirable goals” by cataloging, data mining, and analyzing the past behavior of peers and ancestors—and then using that data to improve the experience of each user’s future and perhaps even their future generations. But, is he referring to shared goals across cultures, sexes and incomes? Who controls the algorithms and the goal filters?! Is Google the judge, arbiter and God?
Don’t get me wrong. I may be in the minority, but I generally trust Google. I recognize that I am raw material and not a client. I accept the tradeoff that I make when I use Gmail, web search, navigate to a destination or share documents. I benefit from this bargain as Google matches my behavior with improved filtering of marketing directed at me.
