
Vector Four Ltd
Vector Four Ltd
1 Projects, page 1 of 1
assignment_turned_in Project2020 - 2024Partners:Vector Four Ltd, UK Civil Aviation Authority, University of Edinburgh, Digital Health and Care Institute, Digital Health and Care Institute +41 partnersVector Four Ltd,UK Civil Aviation Authority,University of Edinburgh,Digital Health and Care Institute,Digital Health and Care Institute,THALES UK LIMITED,D-RisQ (United Kingdom),MSC Software Ltd,CAA,NVIDIA Limited (UK),Legal & General,SICSA,Aesthetic Integration Ltd.,BAE Systems,BAE Systems (United Kingdom),Craft Prospect Ltd,Defence Science and Technology Laboratory,Vector Four Ltd,Defence Science & Tech Lab DSTL,Ethical Intelligence,SICSA,BAE SYSTEMS PLC,Microsoft (United States),Aesthetic Integration Ltd,Civil Aviation Authority,Ames Research Center,NPL,NASA Ames Research Center,Adelard,Altran UK Ltd,Thales (United Kingdom),Legal & General,OPTOS plc,MSC,NASA Ames Research Center,OPTOS plc,Adelard,Craft Prospect Ltd,Thales UK Limited,Ethical Intelligence,National Physical Laboratory,Microsoft (United States),D-RisQ Ltd,NVIDIA Limited,Defence Science & Tech Lab DSTL,Altran (United Kingdom)Funder: UK Research and Innovation Project Code: EP/V026607/1Funder Contribution: 2,671,810 GBPHow can we trust autonomous computer-based systems? Autonomous means "independent and having the power to make your own decisions". This proposal tackles the issue of trusting autonomous systems (AS) by building: experience of regulatory structure and practice, notions of cause, responsibility and liability, and tools to create evidence of trustworthiness into modern development practice. Modern development practice includes continuous integration and continuous delivery. These practices allow continuous gathering of operational experience, its amplification through the use of simulators, and the folding of that experience into development decisions. This, combined with notions of anticipatory regulation and incremental trust building form the basis for new practice in the development of autonomous systems where regulation, systems, and evidence of dependable behaviour co-evolve incrementally to support our trust in systems. This proposal is in consortium with a multi-disciplinary team from Edinburgh, Heriot-Watt, Glasgow, KCL, Nottingham and Sussex, bringing together computer science and AI specialists, legal scholars, AI ethicists, as well as experts in science and technology studies and design ethnography. Together, we present a novel software engineering and governance methodology that includes: 1) New frameworks that help bridge gaps between legal and ethical principles (including emerging questions around privacy, fairness, accountability and transparency) and an autonomous systems design process that entails rapid iterations driven by emerging technologies (including, e.g. machine learning in-the-loop decision making systems) 2) New tools for an ecosystem of regulators, developers and trusted third parties to address not only functionality or correctness (the focus of many other Nodes) but also questions of how systems fail, and how one can manage evidence associated with this to facilitate better governance. 3) Evidence base from full-cycle case studies of taking AS through regulatory processes, as experienced by our partners, to facilitate policy discussion regarding reflexive regulation practices.
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