Join our Mailing List
body { -webkit-animation-delay: 0.1s; -webkit-animation-name: fontfix; -webkit-animation-duration: 0.1s; -webkit-animation-iteration-count: 1; -webkit-animation-timing-function: linear; } @-webkit-keyframes fontfix { from { opacity: 1; } to { opacity: 1; } } /* ]]> */

A Momentary Flow

Evolving Worldviews

Those who saw IBM’s Watson defeat former winners on Jeopardy! in 2011 might be forgiven for thinking that artificially intelligent computer systems are a lot brighter than they are. While Watson was able to cope with the highly stylized questions posed during the quiz, AI systems are still left wanting when it comes to commonsense. This was one of the factors that led researchers to find that one of the best available AI systems has the average IQ of a four-year-old.
To see just how intelligent AI systems are, a team of artificial and natural knowledge researchers at the University of Illinois as Chicago (UIC) subjected ConceptNet 4 to the verbal portions of the Weschsler Preschool and Primary Scale of Intelligence Test, which is a standard IQ test for young children. ConceptNet 4 is an AI system developed at MIT that relies on a commonsense knowledge base created from facts contributed by thousands of people across the Web.
While the UIC researchers found that ConceptNet 4 is on average about as smart as a four-year-old child, the system performed much better at some portions of the test than others. While it did well on vocabulary and in recognizing similarities, its overall score was brought down dramatically by a bad result in comprehension, or commonsense “why” questions.
“If a child had scores that varied this much, it might be a symptom that something was wrong,” said Robert Sloan, professor and head of computer science at UIC, and lead author on the study. “We’re still very far from programs with commonsense–AI that can answer comprehension questions with the skill of a child of eight.” (via Top notch AI system about as smart as a four-year-old, lacks commonsense)

Those who saw IBM’s Watson defeat former winners on Jeopardy! in 2011 might be forgiven for thinking that artificially intelligent computer systems are a lot brighter than they are. While Watson was able to cope with the highly stylized questions posed during the quiz, AI systems are still left wanting when it comes to commonsense. This was one of the factors that led researchers to find that one of the best available AI systems has the average IQ of a four-year-old.

To see just how intelligent AI systems are, a team of artificial and natural knowledge researchers at the University of Illinois as Chicago (UIC) subjected ConceptNet 4 to the verbal portions of the Weschsler Preschool and Primary Scale of Intelligence Test, which is a standard IQ test for young children. ConceptNet 4 is an AI system developed at MIT that relies on a commonsense knowledge base created from facts contributed by thousands of people across the Web.

While the UIC researchers found that ConceptNet 4 is on average about as smart as a four-year-old child, the system performed much better at some portions of the test than others. While it did well on vocabulary and in recognizing similarities, its overall score was brought down dramatically by a bad result in comprehension, or commonsense “why” questions.

“If a child had scores that varied this much, it might be a symptom that something was wrong,” said Robert Sloan, professor and head of computer science at UIC, and lead author on the study. “We’re still very far from programs with commonsense–AI that can answer comprehension questions with the skill of a child of eight.” (via Top notch AI system about as smart as a four-year-old, lacks commonsense)

Notes

  1. replicantfleamarket reblogged this from laboratoryequipment
  2. leapmind reblogged this from thecraftychemist
  3. thecraftychemist reblogged this from laboratoryequipment
  4. infinitepaperclip reblogged this from captalias
  5. captalias reblogged this from sarcastic-scarf
  6. sarcastic-scarf reblogged this from laboratoryequipment
  7. neo-technology reblogged this from laboratoryequipment
  8. texasdreamer01 reblogged this from laboratoryequipment
  9. tyromedico reblogged this from laboratoryequipment
  10. randomscientist reblogged this from laboratoryequipment
  11. hotdogcephalopod reblogged this from laboratoryequipment
  12. davidaedwards reblogged this from paradoxicalparadigms
  13. paradoxicalparadigms reblogged this from laboratoryequipment
  14. darkdemandingchild reblogged this from laboratoryequipment
  15. justwidle reblogged this from laboratoryequipment
  16. laboratoryequipment reblogged this from wildcat2030
  17. sethturin reblogged this from wildcat2030
  18. kimssecretdiary reblogged this from wildcat2030
  19. elfboi reblogged this from bwansen
  20. bwansen reblogged this from enki2
  21. talkless1301 reblogged this from wildcat2030
  22. themuspar reblogged this from wildcat2030