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This lecture is about human and artificial intelligence and learning. Tom takes 'artificial' to mean 'non- human'.

 

Before describing artificial intelligence and machine learning, Tom will state his understanding of what natural or human intelligence is by describing salient classes of activities that a combination of innate and learned skills enable intelligent people to perform: recognising patterns and making choices. Other aspects of intelligence are awareness of time and space, and also sympathy and empathy with other people. Successive generations of parents pass on to their children tools and perspectives that their parents taught them, as well as new ideas that they have learned.

 

After describing how Galileo and Darwin combined their innate talents with their text-book knowledge to create scientific breakthroughs, Tom will tell how modern researchers have designed computer programs that can recognise patterns and make choices.

 

A professor of economics at the University of Minnesota from 1975 to 1987, when he joined the Hoover staff, he was also the David Rockefeller Professor at the University of Chicago from 1992 to 1998. Tom is past president of the Econometric Society, the American Economic Association, and the Society for Economic Dynamics.

 

Tom was awarded the University Medal as the outstanding scholar in the Class of 1964 and won the Nemmers Prize in Economics in 1997. He was elected a fellow of the ¾«¶«´«Ã½app Academy of Sciences and a fellow of the American Academy of Arts and Sciences, both in 1983.

 

Among his books are Rational Expectations and Econometric Practice with Robert E. Lucas Jr. (University of Minnesota Press, 1981); The Big Problem of Small Change with Francois Velde (Princeton University Press, 2002); Recursive Macroeconomic Theory with Lars Ljungqvist (MIT Press, 2004); and Robustness, with Lars Peter Hansen Princeton (University Press, 2007).

 

To attend this event, you must register via Eventbrite and be able to present proof of registration when you arrive, either as a printout or by producing a digital confirmation. No unregistered walk-ins will be admitted. Registering via this Eventbrite registration form is the only way to guarantee entry.

 

Refreshments will be provided following the lecture.

 

Please be mindful of social distancing and avoid over crowding.

 

An overview of the measures the University has put in place and things you need to do to stay safe on campus can be found here.

 

Advice and details relevant to this event include:

• staying home if you're sick

• keeping your distance from others where possible

• using hand sanitiser and washing hands frequently.