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Thesis

Towards a methodology for prospective governance in quantum computing technologies

Abstract:

This thesis investigates the value and effectiveness of anticipatory governance techniques in a new technology – in this case, quantum computing. It contributes a novel framework to encourage more widespread institutionalisation, translational capability, and ease of use for such anticipatory governance methods.

Novel technologies frequently have (and indeed are expected to have) societal impact – quantum computing is one such technology. However, technologies that can have societal impact need to both merit and retain societal trust – such trust is predicated upon reliable and responsible methods of development, which enable publics to be assured of both specific and systemic trustworthiness. These concepts are closely allied to governance – but in the case of fast-developing technologies, there is often not yet any ‘traditional’ form of governance such as regulation. Traditional forms of governance are generally reactive, waiting for harm to occur before being framed. This is contrasted with ‘anticipatory’ governance, which seeks to mitigate potential negative outcomes by involving stakeholders in developmental processes, empowering researchers and developers to reflect on potential outcomes and consequences, and enabling them to respond in ways that can reduce harmful societal impacts.

This thesis has investigated these topics through qualitative case studies and analysis in three key domains for quantum computing – industry, academia, and policy. The work has engaged with leaders and significant figures across these sectors, drawing out themes that are specific to quantum computing as well as those that are commonly encountered across computer science disciplines, and some that are found in all novel technologies. As a result of these investigations, it has developed a Framework that can be used for anticipatory governance purposes across research, industry, and in policymaking. The thesis closes by describing how the Framework has been demonstrated and evaluated in numerous contexts; addressing and elaborating on some of the persistent underlying themes that have emerged through the work; and suggesting avenues for further research.

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Supervisor
ORCID:
0000-0002-6088-3955


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Funder identifier:
https://ror.org/0439y7842
Grant:
2220046


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
Pubs id:
1988908
Local pid:
pubs:1988908
Deposit date:
2024-04-04
ARK identifier:

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