


Algorithmic Design for Uncertain Futures 2023
Canberra, mid-2023 (Date TBA – likely April)
This workshop will explore challenges presented to technological systems by socioeconomic and climate change, with the aim of informing how to influence the robustness of these systems through policy creation.
Human-Machine Collaboration in a changing world 2022
Paris / hybrid: 1-2 December
This workshop focused on the challenges and opportunities collaborative systems pose for technological development and policy design. For more details, please visit:

Social Responsibility of Algorithms 2022
Social Responsibility of Algorithms 2022 (SRA22) was held virtually on 13-17 June 2022 (UTC).
SRA22 was the third workshop in the SRA series, and focused on algorithmic fairness, explicability / interpretability, trust, privacy, and decision autonomy, with the aim of identifying mutually influential challenges and opportunities for technology and policy-development in EU and Australia.
SRA22 was a collaboration between ANU Centre for European Studies, ANU School of Cybernetics, ANU Fenner School of Environment and Society, DIMACS at Rutgers University, and CNRS LAMSADE. It was organised by Katherine Daniell (ANU), Joseph Guillaume (ANU), Fred Roberts (DIMACS), Alexis Tsoukiás (LAMSADE), Kathy Reid (ANU) and Elizabeth Williams (ANU).
You can find videos and abstracts from SRA22 linked from our program page:

The Algorithmic Futures Policy Lab is made possible with the support of the Erasmus+ Programme of the European Union. The content on this website and any material herein reflects only the author’s view. The Education, Audiovisual and Culture Executive Agency and the European Commission are not responsible for any use that may be made of the information it contains.
About Algorithmic Futures Policy Lab
The Algorithmic Futures Policy Lab (AFPL) aims to catalyse the work needed to successfully design technology and policy for an uncertain future. The AFPL team is currently working to create workshop experiences in which participants explore what responsible algorithmic development and policy-making might look like in light of future global socio-economic and environmental uncertainties, with a specific focus on relevant upcoming governance challenges and opportunities in the European Union and Australia.
The Lab series includes three workshops:
- Social Responsibility of Algorithms (SRA22) focused on algorithmic fairness, explicability/interpretability, trust, privacy, and decision autonomy, with the aim of identifying mutually influential challenges and opportunities for technology and policy-development in EU and Australia.
- Human-Machine Collaboration in a changing world (HMC22) focused on the challenges and opportunities collaborative systems pose for technological development and policy design.
- Algorithmic Design for Uncertain futures (ADU23) will explore challenges presented to technological systems by socio-economic and climate change, with the aim of informing how to influence the robustness of these systems through policy creation.
The workshops are free for invited participants, and represent a collaboration between ANU Centre for European Studies, ANU School of Cybernetics, ANU Fenner School of Environment and Society, DIMACS at Rutgers University, CNRS LAMSADE, University of Canberra, and EnsadLab, laboratory of the École nationale supérieure des Arts Décoratifs – PSL University.
Organising committee for SRA22:
- Katherine Daniell (School of Cybernetics / Fenner School of Environment and Society, Australian National University)
- Joseph Guillaume (Fenner School of Environment and Society, Australian National University)
- Fred Roberts (DIMACS, Rutgers University)
- Alexis Tsoukiás (CNRS LAMSADE)
- Elizabeth Williams (School of Cybernetics, Australian National University)
- Kathy Reid (School of Cybernetics, Australian National University)
Organising committee for HMC22:
- Katherine Daniell (ANU)
- Joseph Guillaume (ANU)
- Damith Herath (University of Canberra)
- Fred Roberts (DIMACS, Rutgers)
- Alexis Tsoukiás (CNRS LAMSADE)
- Elizabeth Williams (ANU)
- Xuanying Zhu (ANU)
- Sarra Tajouri (Université Paris Dauphine-PSL, CNRS LAMSADE)
- Nicolas Fayard ( (Université Paris Dauphine-PSL, CNRS LAMSADE)
- Lorenn Ruster (ANU)
- Myrna Kennedy (ANU)
- Kathy Reid (ANU)
- Samuel Bianchini (EnsadLab)