Skip to main content
News_

International Symposium on ethical algorithms

12 – 14 December 2018
Can algorithms be more ethical than humans?

The reach of machine learning and artificial intelligence have expanded into our everyday lives. Governments and businesses around the world are making decisions based on data science techniques powered by machine learning algorithms, which are making a meaningful impact on human lives.

This raises an important question: how do we ensure algorithms are ethical?

This symposium will review current research and practice relating to ethical aspects of algorithms, assess limitations, and identify work required to pave the way for a new generation of ethical data science techniques. Bringing together expertise from diverse disciplines such as ethics, law, and artificial intelligence, this symposium is an an exciting opportunity to exchange views on the viability, legitimacy, and complexity of algorithmic decision making.

Keynote speakers

Assistant Professor Elliott Ash

Assistant Professor Elliott Ash

Assistant Professor of law, economics, and data science at ETH Zurich

Elliott Ash is a researcher and assistant professor with a research background in law and economics, political economy, public finance, applied micro, machine learning and text data.
 

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. 

Ellen Broad

Ellen Broad

Head of Technical Delivery at Data61

Ellen Broad is the Head of Technical Delivery, Consumer Data Standards for CSIRO's Data61. Before this, she was Head of Policy for the Open Data Institute in the UK. She is also a writer and public commentator on artificial intelligence, open data and data sharing issues. 
 

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 to enable business transformation and a differentiated customer experience. A founding member of DataSpark, Amy has extensive experience in management consulting, retail, marketing and customer loyalty.  

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. 

 

 

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. 

Tickets are now available for the Symposium. An early-bird discount will apply until 1 November 2018. 

Call for submissions have been sent. The deadline to submit has been extended to 26 October 2018 23:59AEST. To be considered, applicants will need to submit a two-page extended abstract. Successful applicants will be notified on 31 October 2018.

Papers should be submitted to roman.marchant@sydney.edu.au as one page extended abstract (maximum two pages). Notification of acceptance is 31 October 2018. Successful papers will be presented as oral presentations in one of the two tracks of the symposium.

We welcome short papers that align with the following topics: 

  • Use of biased data
  • Adaptive natural experiments
  • Accountability, consequences and costs of automated decisions 
  • Use of personal data for political campaigns and election forecasting
  • Causal inference (explainable AI)
  • Morally based decision making under uncertainty
  • Privacy and cybersecurity
  • Automation and economic consequences
  • Impact of AI on human rights
  • Rational bases of morality

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. 


Sponsors



 

 

Commonwealth Bank

 

 

 

 

Quantumblack

 

 

 

 

Data Analytics Centre

See the draft program

217KB
Download PDF

Abercrombie

Business School