Events October 2017

31
Oct
2017

Teaching machines to play fair

Daniel McNamara
Machine learning is increasingly used to make decisions about people’s lives, such as whether to give someone a loan or whether to interview someone for a job. This brings with it the risk of discrimination, particularly if the data used for training the machines contains bias. One strategy for ensuring such systems are fair is to modify the training data they learn from.
31
Oct
2017

Bilateral and regional trade agreements: a case for economic reform?

Paul Gretton, Crawford School and Centre of European Studies, ANU; formerly at Australian Productivity Commission.

Economic growth and international trade growth have been sluggish following the global financial crisis. Current projections indicate that growth may continue to be sluggish in the medium term.

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