11-12 July 2023 | Edinburgh, UK
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We invite submissions on novel and creative multidisciplinary research projects focused on trustworthy autonomous systems and their responsible development.
The symposium will include a networking event for Early Career Researchers (ECRs) and travel grants will be available for ECRs.
Important dates
We invite full-paper submissions and poster abstracts that take a multidisciplinary approach to address the challenges of designing, building, and deploying Trustworthy Autonomous Systems (TAS). Contributions should consider social, legal, ethical, and technical issues and their impacts on individuals, society, and the economy.
TAS ‘23 seeks to showcase creative, multi- and interdisciplinary responsible research & innovation which focuses on the challenging question of how to ensure that the design, engineering, and operation of autonomous systems generate positive outcomes and mitigate potentially harmful outcomes for people, societies, economies and the environment.
Your research may adopt specific perspectives on governance, design and deployment of autonomous systems from disciplines including, but not limited to, psychology, social sciences, law, computer science, engineering, and arts & humanities.
We welcome submissions that reflect on the potential or actual real-world impacts of autonomous systems and strongly encourage the adoption of frameworks for responsible research (such as the responsible research & innovation (RRI) framework). Successful submissions would seek to address factors that impact the trustworthiness of autonomous systems, including but not limited to:
Submissions will be selected for publication following peer review. More information on how to prepare your submissions will be released soon. The proceedings, including full papers and abstracts, will be published in the ACM Digital Library. Accepted full papers will be invited to submit to a special issue, such as in the Journal of Responsible Technology and Journal of Autonomous Agents and Multi-Agent Systems.
We understand an autonomous system to be a system involving software applications, machines, and people, that is able to take actions with little or no human supervision. Our definition1 includes socio-technical systems involving both humans and machines working together (e.g., human-agent collectives or human-machine teams), and automated decision-making processes and the ways in which they are employed by and impacting people (e.g., automated recruitment, facial recognition systems). Machine-to-machine or Human-to-Human trust may also be important but these are not in the scope of the TAS symposium.
The TAS ‘23 organising committee is comprised of members of the UKRI-funded TAS Network (TAS Hub, Nodes, Pump-Priming and Responsibility projects). The symposium is aligned with the aims and values of the TAS Programme.
Kate Devlin and Joel Fischer
TAS ‘23 General Chairs
[1] https://www.tas.ac.uk/our-definitions/
Organising Committee
Kate Devlin, King’s College London
Joel Fischer, University of Nottingham
Joe Deville, Lancaster University
Helena Webb, University of Nottingham
Benedicte Legastelois, King’s College London
Daria Onitiu, University of Edinburgh
Burak Yuksek, Cranfield University
Katie Parnell, University of Southampton
Jeremie Clos, University of Nottingham
Lisa Dorn, Cranfield University
Xinwei Fang, University of York
Peter McKenna, Heriot-Watt University
Angela Westley, University of Southampton
Swaroop Panda, Durham University
Suet Lee, University of Bristol
Ben Coomber, University of Nottingham
Liz Dowthwaite, University of Nottingham
Lou Male, University of Southampton
Genovefa Kefalidou, University of Leicester
Gisela Reyes-Cruz, University of Nottingham
Adeshola Lawal, University of Southampton
Eryn Rigley, University of Southampton
Alison Tebbutt, University of Southampton
Zhengxin (Cynthia) Yu, Lancaster University
Laura Armstrong, University of Southampton
Katie Drury, University of Bristol