Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the human condition in ways that are not yet well understood. Negative unintended consequences abound including the perpetuation and exacerbation of societal inequalities and divisions via algorithmic decision making. We present six grand challenges for the scientific community to create AI technologies that are humancentered, that is, ethical, fair, and enhance the human condition. These grand challenges are the result of an international collaboration across academia, industry and government and represent the consensus views of a group of 26 experts in the field of human-centered artificial intelligence (HCAI). In essence, these challenges advocate for a human-centered approach to AI that (1) is centered in human wellbeing, (2) is designed responsibly, (3) respects privacy, (4) follows human-centered design principles, ( 5) is subject to appropriate governance and oversight, and (6) interacts with individuals while respecting human's cognitive capacities. We hope that these challenges and their associated research directions serve as a call for action to conduct research and development in AI that serves as a force multiplier towards more fair, equitable and sustainable societies.
An increase in the number of companies that publish corporate social responsibility (CSR) statements, and a rise in their 'sustainability' research, reflects a growing acceptance that broad ethical considerations are key for any type of company. However, little is known about how companies consider moral objectives for their research and development (R&D) activities, or the basis upon which these activities are chosen. This research involves qualitative investigation into Responsible Research and Innovation (RRI) in the Information and Communication Technology (ICT) industry, comprising 30 in-depth, pan-European interviews with key personnel in the industry, and focus groups with employees at 14 different companies. Through investigation of the 'responsible' activities these companies currently undertake, we shed light on the types of moral goals they set and their underlying ethical standpoints. By reviewing both the responsible innovation and sustainability discourses, and presenting phenomenological evidence, we demonstrate that companies have adopted some aspects of RRI, even though it might not be recognised as such. Our findings indicate that these innovators recognise some of the ethical and societal concerns associated with their activities but their approach is often piecemeal; primary focus is upon the most immediate issues and on legal compliance, to the detriment of broader societal issues and wider challenges. We recommend explicit mechanisms that draw upon established ethical thought and practical academic work to improve companies' abilities to carry out their sustainability activities, and incorporate them into a responsible business strategy. We conclude with recommendations for innovators, corporate research and development, and policy.
Although institutional repositories (IRs) have become widespread, they have been consistently under-populated and under-utilised. Unless their content approaches a significant percentage of a university's output, IRs can neither form a useful branch of open access to scholarly communications, nor provide a representative view of an institution's research output. The UK's 2021 Research Excellence Framework (REF) requires all work submitted to it to have been deposited in a repository, which for most authors would mean an IR. This research sought to understand the impact of the REF mandate upon researchers and repository staff, and upon their relationship with the university, through a series of semi-structured interviews with researchers and repository managers. The research discovered that despite steep rises in repository submissions, little resource has been made available to accommodate hugely-increased workloads, nor have interfaces been improved. Researchers and repository-managers alike struggle with a tedious and difficult administrative task that may require many iterations to complete. The research concludes that the mandate, and the pressure it places on the relationship between the researcher and the institution, is highlighting unspoken tensions in this relationship. Although the mandate is increasing the amount of open access material in the UK, as well as providing universities with evidence for the REF, it is placing significant strain on the tacit contract between a researcher and their employer.Opportunities to align the participants, to create alternative metrics from newly available data, and to develop new solutions, are being missed. This has implications for the way other mandates focusing on deposit in IRs are managed, both within and beyond the UK.
Novel technologies such as quantum computing present new opportunities to support societal needs, but societal engagement is vital to secure public trust. Quantum computing technologies are at a pivotal point in their journey from foundational research to deployment, creating a moment for society to investigate, reflect, and consult on their implications. Responsible Innovation (RI) is one method for considering impacts, engaging with societal needs, reflecting on any concerns, and influencing the trajectory of the innovation in response. This paper draws on the empirical work of the RI team embedded in the Networked Quantum Information Technologies Hub. The team investigated researchers' perceptions of RI and their understanding of societal impacts of quantum technologies, and sought to gauge the challenges of embedding RI across a multi-disciplinary, large-scale enterprise such as the UK quantum programme. The work demonstrated some of the difficulties involved in embedding RI approaches, and in creating a dialogue between innovators and societies. Finally, the authors offer recommendations to policymakers, researchers, and industrial organisations, for better practice in responsible quantum computing, and to ensure that societal considerations are discussed alongside commercial motivations. Applying RI to quantum computing at this pivotal point has implications for RI in other emerging technologies.
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