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The ethics of data science conference

Addressing the future use and misuse of our data
27–29 March 2019

From self-driving cars to automated personal assistants, artificial intelligence is well on its way to impacting every facet of our daily lives. Already, industries and governments are relying on machine learning to make important decisions that will have a real effect on the lives of consumers and citizens.

This raises an important question: how can we make algorithms more ethical than humans?

Hosted by the University of Sydney from 27-29 March 2019, this forum will bring together world-renowned experts to address the current crisis in confidence around algorithms.

Algorithms are a fundamental tool in everyday machine learning and artificial intelligence, but experts have identified a number of ethical problems, including biased modelling and inaccurate data. Our speakers – who span diverse disciplines such as ethics, law, and artificial intelligence – will:

  • review current research and practice relating to the ethics around algorithms
  • identify solutions for creating a new generation of ethical data science techniques.

This symposium will review current research and practice relating to ethical aspects of algorithms, assess limitations, and identify the work required to pave the way for a new generation of ethical data science techniques. This symposium is an exciting opportunity to exchange views on the viability, legitimacy, and complexity of algorithmic decision-making.

Topics covered include:

  • biased data
  • accountability, consequences and costs of automated decisions
  • personal data usage in political campaigns and election forecasting
  • Morally based decision-making under uncertainty
  • privacy and cybersecurity
  • automation and economic consequences
  • artificial intelligence and human rights

Keynote speakers

Professor Simon Jackman

Professor Simon Jackman

CEO of the United States Studies Centre

Simon Jackman is known for his work on poll averaging -combining polls over the course of an election campaign to produce better predictions of election outcomes. 

Dr Amy Shi-Nash

Dr Amy Shi-Nash

General Manager of Data Science, Commonwealth Bank

Amy Shi-Nash is responsible for driving the strategic direction of the data science capability at the Commonwealth Bank. A founding member of DataSpark, Amy has extensive experience in management consulting, retail, marketing and customer loyalty.  

Professor Sofia Olhede

Professor Sofia Olhede

Professor of Statistics, University College London

Sofia Olhede is director of the UCL Centre for Data Science and an honorary professor of computer science and a senior research associate of mathematics at University College London. 

Professor Toby Walsh

Professor Toby Walsh

Scientia Professor of artificial intelligence at UNSW

Toby Walsh is a leading researcher in Artificial Intelligence. He leads the Algorithmic Decision Theory group at Data61, Australia's Centre of Excellence for ICT Research, and is guest professor at TU Berlin. 

The Symposium will run between 27 and 29 March 2019. Register your interest now

Deadline for submission is 15 February 2019. Papers should be submitted to as one page extended abstract (maximum two pages). Notification of acceptance is 22 February 2019. Successful papers will be presented as oral presentations in one of the two tracks of the symposium. 

A total of 10 travel support scholarships of US$1000 each will be provided to higher degree research students and early-career researchers who provide the best accepted papers according to the selection committee. 


Commonwealth Bank, NSW Data Centre and Quantum Black logos