{domain:"www.qualitydigest.com",server:"169.47.211.87"} Skip to main content

User account menu
Main navigation
  • Topics
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Videos/Webinars
    • All videos
    • Product Demos
    • Webinars
  • Advertise
    • Advertise
    • Submit B2B Press Release
    • Write for us
  • Metrology Hub
  • Training
  • Subscribe
  • Log in
Mobile Menu
  • Home
  • Topics
    • 3D Metrology-CMSC
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Login / Subscribe
  • More...
    • All Features
    • All News
    • All Videos
    • Contact
    • Training

Artificial Intelligence Is Smart, But Does It Play Well With Others?

Humans find AI to be a frustrating teammate when playing a cooperative game together

Kylie Foy
Tue, 10/26/2021 - 12:02
  • Comment
  • RSS

Social Sharing block

  • Print
  • Add new comment
Body

First published Oct. 4, 2021, on MIT News.

When it comes to games such as chess or Go, artificial intelligence (AI) programs have far surpassed the best players in the world. These “superhuman” AIs are unmatched competitors, but perhaps harder than competing against humans is collaborating with them. Can the same technology get along with people?

ADVERTISEMENT

In a new study, MIT Lincoln Laboratory researchers sought to find out how well humans could play the cooperative card game Hanabi with an advanced AI model trained to excel at playing with teammates it has never met before. In single-blind experiments, participants played two series of the game: one with the AI agent as their teammate, and the other with a rule-based agent, a bot manually programmed to play in a predefined way.

 …

Want to continue?
Log in or create a FREE account.
Enter your username or email address
Enter the password that accompanies your username.
By logging in you agree to receive communication from Quality Digest. Privacy Policy.
Create a FREE account
Forgot My Password

Comments

Submitted by Zoe Dye (not verified) on Tue, 10/26/2021 - 21:26

Big Question

By now, man vs. machine is all but a given struggle, so it is hard to think of something as societally intrinsic as fears of automation or robot take-overs having any greater nuance than we give them. There is more to the man vs. machine struggle than who rules over who, though.

We have reached AI; we need to collaborate—not contest. 

As your article explains, the technology world is ready to integrate human expertise with AI assistance to the betterment of all fields involved; however, as long as humans struggle to overcome their own “squishiness” to embrace AI, this process will drag. AI may be smart and efficient, but they are not dynamic. It is surprising that this lack of dynamism frustrates humans to the point that whatever success they may achieve alongside AI becomes meaningless. As it turns out, humans rather lose and commiserate among each other than win at all. 

This strikes the main issue of your article: humans and their “squishiness” bias. In this regard, it appears the MIT Lincoln Laboratory researchers have come across an entirely new chicken or the egg phenomenon, as it is important to ask whether this bias is an instinctual part of our psychology or bred from a pop-culture fraught with terminators. Which is it? And does understanding the root of that bias help eliminate it?

  • Reply

Add new comment

Image CAPTCHA
Enter the characters shown in the image.
Please login to comment.
      

© 2025 Quality Digest. Copyright on content held by Quality Digest or by individual authors. Contact Quality Digest for reprint information.
“Quality Digest" is a trademark owned by Quality Circle Institute Inc.

footer
  • Home
  • Print QD: 1995-2008
  • Print QD: 2008-2009
  • Videos
  • Privacy Policy
  • Write for us
footer second menu
  • Subscribe to Quality Digest
  • About Us
  • Contact Us