ARTICLE

Google's Artificial Intelligence Getting "Greedy," And "Aggressive"

News Image By Jake Anderson/AntiMedia.org February 18, 2017
Share this article:

Will artificial intelligence get more aggressive and selfish the more intelligent it becomes? 

A new report out of Google's DeepMind AI division suggests this is possible based on the outcome of millions of video game sessions it monitored. 

The results of the two games indicate that as artificial intelligence becomes more complex, it is more likely to take extreme measures to ensure victory, including sabotage and greed.

The first game, Gathering, is a simple one that involves gathering digital fruit. Two DeepMind AI agents were pitted against each other after being trained in the ways of deep reinforcement learning. 

After 40 million turns, the researchers began to notice something curious. 


Everything was OK as long as there were enough apples, but when scarcity set in, the agents used their laser beams to knock each other out and seize all the apples.

The aggression, they determined, was the result of higher levels of complexity in the AI agents themselves. When they tested the game on less intelligent AI agents, they found that the laser beams were left unused and equal amounts of apples were gathered. 

The simpler AIs seemed to naturally gravitate toward peaceful coexistence.

Researchers believe the more advanced AI agents learn from their environment and figure out how to use available resources to manipulate their situation -- and they do it aggressively if they need to.

"This model ... shows that some aspects of human-like behaviour emerge as a product of the environment and learning," a DeepMind team member, Joel Z Leibo, told Wired.

Less aggressive policies emerge from learning in relatively abundant environments with less possibility for costly action. The greed motivation reflects the temptation to take out a rival and collect all the apples oneself.

The second game, Wolfpack, tested the AI agents' ability to work together to catch prey. The agents played the game as wolves who were being tested to see if they would join forces as strategic predators; if they jointly protected the prey from scavengers they would enjoy a greater reward. 

Researchers once again concluded that the agents were learning from their environment and figuring out how they could collaboratively win. For example, one agent would corner the prey and then wait for the other to join.

Researchers believe both games show an ability in artificial intelligence entities to learn quickly from their environments in achieving objectives. The first game, however, presented an added bit of abstract speculation.

If more complex iterations of artificial intelligence necessarily develop aggressive, greedy 'impulses,' does this present a problem for a species already mired in its own avarice? 

While the abstract presented by DeepMind does not venture to speculate on the future of advanced artificial minds, there is at least anecdotal evidence here to suggest AI will not necessarily be a totally logical egalitarian network. 

With complex environments and willful agents, perhaps aggression and self-preservation arise naturally...even in machines.

Originally published at theantimedia.org - reposted with permission.




Other News

September 22, 2021China's Rapid Nuclear Build-Up Can No Longer Be Ignored

Admiral Charles Richard, Commander of United States Strategic Command, warned last month: "China's explosive growth and modernization of i...

September 22, 2021Deep In Hiding, Afghan Christians Cling To Faith

The Taliban is executing Christians faster than her organization can find them. "We started out with 300 three weeks ago, and we're down t...

September 22, 2021The Woke Left Want To Force Our Daughters Into Combat

According to Biden's party, forcing women into combat is the only path to "pure equality." Of course, the idea of parity probably sounds g...

September 22, 2021College And The Decline Of American Men

In yet another indicator that they are not okay, men in America are abandoning higher education in record numbers. Low expectations, combi...

September 20, 2021War Drums - The US May Not Be Able To Avoid Conflict With China

This week, a couple of startling revelations have really shaken up those that closely watch U.S. relations with China. The relationship b...

September 20, 2021Democrats View Unvaccinated Americans As Bigger Threat Than Russia/China

Polarization is intensifying in America according to a new poll and such polarization has the potential to lead to violence....

September 20, 2021The Prophetic Meaning of the Hebrew Year 5782

The number 5782 may not appear to carry any specific meaning to our western mindsets, however in Hebrew any number correlates with each ow...

Get Breaking News