AI: law, ethics, algorithms, and politics 2021

Presented by ANU College of Arts & Social Sciences


AI LEAP is a new annual conference that aims to foster intellectual exchanges among disciplinary and trans-disciplinary experts, drawing broadly on computer science, the social sciences, and the humanities, without centering any one perspective at the expense of others.

As ever greater proportions of our online and offline lives are shaped by AI and related technologies, cross-disciplinary collaboration to understand the risks and opportunities that these systems create has become ever more important. Tools that use data and/or AI can generate relations of unaccountable power, can poison public discourse, and can perpetuate and exacerbate social inequalities. They can also enable extraordinary leaps forward in medical research, minimise market inefficiencies, and both delight and surprise. Our challenge is to deepen our understanding of data and AI, so that we can design sociotechnical systems that uphold our values as political communities. To do this, we cannot rely on any one disciplinary approach; we must bring together scholars from fields including computer science, digital media studies, law, philosophy, political science and sociology, as well as many others, to tackle the question of how to understand how data and AI now shape our world, and how to design sociotechnical systems that shape it for the better.

During its inaugural year, AI LEAP will bring together the burgeoning Australasian community in this field (indeed, anyone in our travel bubble in December), and will highlight exciting new research being undertaken by Australasian scholars. It will be an in-person conference (touch wood).


We welcome contributions on the following (and related) topic areas:

  • Empirical research into the impacts of AI systems.
  • Evaluative research into AI impacts. 
  • Evaluative research into the goals at which we should aim when redesigning AI systems.
  • Technical research into the representation, acquisition, and use of ethical knowledge by AI systems. 
  • Proposal and/or evaluation of technical methods for realising evaluative goals. 
  • Proposal and/or evaluation of sociotechnical methods for realising evaluative goals. 
  • Proposal and/or evaluation of legal and regulatory approaches for realising evaluative goals.

Important Dates

  • Submission Deadline: 4 October 2021, 11.59pm AEST
  • Reviews Due: 29 October 2021, 11.59pm AEST
  • Notification: 12 November 2021, 11.59pm AEST
  • Final Version: 23 November 2021, 11.59pm AEST
  • Conference: 1-3 December 2021.

Call for Papers