The Institute - September 2021 - 58

JUSTIN BETTMAN
PROFILE
Stop Calling
Everything AI,
Machine-Learning
Pioneer Says
Michael I. Jordan explains why today's artificial-intelligence
systems aren't actually intelligent
BY KATHY PRETZ
ARTIFICIAL-INTELLIGENCE systems
are nowhere near advanced enough
to replace humans in many tasks
involving reasoning, real-world
knowledge, and social interaction.
They are showing human-level
competence in low-level pattern
recognition skills, but at the cognitive
level they are merely imitating human
intelligence, not engaging deeply and
creatively, says Michael I. Jordan, a
leading researcher in AI and machine
learning. Jordan is a professor
in the department of electrical
engineering and computer science,
and the department of statistics, at the
University of California, Berkeley.
He notes that the imitation of
Employer
University of
California,
Berkeley
Title
Engineering
and statistics
professor
Member grade
Fellow
Alma mater
University of
California,
San Diego
human thinking is not the sole goal
of machine learning-the engineering
field that underlies recent progress
in AI-or even the best goal. Instead,
machine learning can serve to
augment human intelligence, via
painstaking analysis of large data sets
in much the same way that a search
engine augments human knowledge by
organizing the Web. Machine learning
also can provide new services to
humans in domains such as health
care, commerce, and transportation,
by bringing together information

https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html https://www.berkeley.edu/ https://www.berkeley.edu/

The Institute - September 2021

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