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QSI aims at training a world-class cohort of doctoral researchers (DRs) capable of taking the next essential steps in the highly demanding area of cybersecurity. We aim to build strong lasting links between strategically selected industry and academic partners, in different disciplines, via the development of novel technologies for practical applications in data security. In parallel, we will also combine, via a collaborative long-term interdisciplinary approach, expertise in all relevant communities to address key fundamental problems in secure communications in the quantum era, and the important applications therein. The planned training network will provide research and training opportunities to a new generation of DRs, who, in the long-run, shall address the Grand Challenge of providing "Quantum-Safe Internet", i.e., a communication infrastructure that is secure against not only classical attacks but also those enabled by quantum technologies. Today's Internet security heavily relies on computational complexity assumptions, and as such is seriously threatened by advancements in quantum computing technologies. Indeed, we have recently witnessed a wave of key developments in this direction by a number of IT giants, e.g., Google, IBM, Microsoft, and Intel. This particularly jeopardizes applications that require long-term security. The number of such applications is continuously growing as more and more of our private information is stored and communicated in a digital way, e.g., electronic health records, which are now required by European legislation to remain secure for a long time. This requires us to urgently develop and implement new solutions, as we plan to do in this Doctoral Network (DN).

This fellowship will bring together a variety of people from different walks of life, including academics, industry, civil societies, policy makers and members of the public, in order to create new ways of developing and managing technological innovations. There is often a tension between the economic needs for increasing technological innovation and the ways in which these innovations may be developed responsibly - that is in a manner that is societally acceptable and desirable. We will develop an approach that aims to anticipate not only the positive outcomes but also the potentially negative consequences of technological innovations for society. We will draw on this and an understanding of people's lived rights and obligations to provide creative resources and methods for designers to develop responsible and accountable new technologies. Responsible Innovation lies at the heart of technologies in the Digital economy that aim to promote trust, identity, privacy and security. Although it has been drawn on in other scientific domains, as yet we have no complete example of how responsible innovation can be successfully applied in the DE sector. The fellowship will consider a motivating example to develop responsible innovation in action. We will look into one particular domain of technology and develop an agile process which will take account of the views of a wide range of people in a fast-changing context, in order to have some influence over the trajectory of an innovation. We will focus on the domain of social robots, those which interact with people and make decisions about what to do on their own accord. Because they make their own decisions in order to perform actions, we need to be able to recover what they did and why they did it, when things seem to go wrong. We will develop an ethical black box (EBB) through which the social robot will be able to explain its behaviour in simple and understandable ways. The development of the EBB will be an example of responsible innovation. We will test this out in particular accident investigations as a social process and we will do this in 3 different study domains. In the final stages of the fellowship, we will show the outcomes of the technological development and the investigations through a variety of means, including through the web and a final public showcase event. This will be to a variety of people including the general public, policy makers, and developers.

Public opinion on complex scientific topics can have dramatic effects on industrial sectors (e.g. GM crops, fracking, global warming). In order to realise the industrial and societal benefits of Autonomous Systems, they must be trustworthy by design and default, judged both through objective processes of systematic assurance and certification, and via the more subjective lens of users, industry, and the public. To address this and deliver it across the Trustworthy Autonomous Systems (TAS) programme, the UK Research Hub for TAS (TAS-UK) assembles a team that is world renowned for research in understanding the socially embedded nature of technologies. TASK-UK will establish a collaborative platform for the UK to deliver world-leading best practices for the design, regulation and operation of 'socially beneficial' autonomous systems which are both trustworthy in principle, and trusted in practice by individuals, society and government. TAS-UK will work to bring together those within a broader landscape of TAS research, including the TAS nodes, to deliver the fundamental scientific principles that underpin TAS; it will provide a focal point for market and society-led research into TAS; and provide a visible and open door to engage a broad range of end-users, international collaborators and investors. TAS-UK will do this by delivering three key programmes to deliver the overall TAS programme, including the Research Programme, the Advocacy & Engagement Programme, and the Skills Programme. The core of the Research Programme is to amplify and shape TAS research and innovation in the UK, building on existing programmes and linking with the seven TAS nodes to deliver a coherent programme to ensure coverage of the fundamental research issues. The Advocacy & Engagement Programme will create a set of mechanisms for engagement and co-creation with the public, public sector actors, government, the third sector, and industry to help define best practices, assurance processes, and formulate policy. It will engage in cross-sector industry and partner connection and brokering across nodes. The Skills Programme will create a structured pipeline for future leaders in TAS research and innovation with new training programmes and openly available resources for broader upskilling and reskilling in TAS industry.