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.
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 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.
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.
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.
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.
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.
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 email@example.com 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:
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.