EAN: 9780262547321

MACHINES LIKE US - RONALD J BRACHMAN HECTOR J L...

How we can create artificial intelligence with broad  robust common sense rather than narrow 
specialized expertise. It’s sometime in the not-so-distant future  and you send your fully
autonomous self-driving car to the store to pick up your grocery order. The car is endowed with
as much capability as an artificial intelligence agent can have  programmed to drive better
than you do. But when the car encounters a traffic light stuck on red  it just sits
there—indefinitely. Its obstacle-avoidance  lane-following  and route-calculation capacities
are all irrelevant  it fails to act because it lacks the common sense of a human driver  who
would quickly figure out what’s happening and find a workaround. In Machines like Us  Ron
Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create
machines with common sense rather than just the specialized expertise of today’s AI systems.
Using the stuck traffic light and other relatable examples  Brachman and Levesque offer an
accessible account of how common sense might be built into a machine. They analyze common sense
in humans  explain how AI over the years has focused mainly on expertise  and suggest ways to
endow an AI system with both common sense and effective reasoning. Finally  they consider the
critical issue of how we can trust an autonomous machine to make decisions  identifying two
fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what
they do  and being able to accept advice. Both in the end are dependent on having common sense.

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