Limits of AI Today
Today’s successful AI systems operate in well-defined domains
and employ narrow, specialized knowledge. Common sense knowledge is needed to
function in complex, open-ended worlds. Such a system also needs to understand
unconstrained natural language. However these capabilities are not yet fully
present in today’s intelligent systems.
What can AI systems do?
Today’s AI systems have been able to achieve limited success
in some of these tasks.
• In Computer vision, the systems are
capable of face recognition
• In Robotics, we have been able to
make vehicles that are mostly autonomous.
• In Natural language processing, we
have systems that are capable of simple machine translation.
• Today’s Expert systems can carry out
medical diagnosis in a narrow domain
• Speech understanding systems are
capable of recognizing several thousand words continuous speech
• Planning and scheduling systems had
been employed in scheduling experiments with the Hubble Telescope.
• The Learning systems are capable of
doing text categorization into about a 1000 topics
• In Games, AI systems can play at the
Grand Master level in chess (world champion), checkers, etc.
What can AI systems NOT do yet?
• Understand natural language robustly
(e.g., read and understand articles in a newspaper)
• Surf the web
• Interpret an arbitrary visual scene
• Learn a natural language
• Construct plans in dynamic real-time
domains
• Exhibit true autonomy and
intelligence
