Visit Dr Jennifer Chubb's profile on the York Research Database to:
- See a full list of publications
- Browse activities and projects
- Explore connections, collaborators, related work and more
I've been working on questions relating to the role of science and research in society for many years. My interests in science and society began with my PhD during which I explored the notion of instrumentalism and epistemic responsibility in universities, scientific practice and research. From there, I developed an interest in the idea of responsible science, science systems, advice and diplomacy. Following this, and several postdocs later, I developed an interest in public attitudes to science and technology and then, more specifically, the impact of Artificial Intelligence particularly across the creative industries, Higher Education and science.
My current focus is on the vices cultivated by AI, Anti-AI movements and the sociology of AI safety. My research methods are predominantly qualitative, with experience of some quantitative research as well as documentary, visual and narrative approaches.I am particularly interested in representations of technology, how they sound and how they appear in imagery. For instance, I have worked on the impact of digital replicas of the voice, the ethics of conversational AI for children and the visuality of the anti-AI sentiment as expressed online.
I am Co-Director of the Science and Technology Studies Unit (SATSU), a member of the AsSIST-UK executive board, a committee member of the Wellcome Trust Early-Career Social Sciences Committee and I am an appointed advisor to the Better Images of AI project, tackling stereotypes in AI imagery. I am also the Sociology Co-I for the Centre for Doctoral Training in Lifelong Safety Assurance of AI-enabled Autonomous Systems (SAINTS CDT) and RAI lead and a Fellow of the Higher Education Academy (FHEA).
Bringing together my interest in research policy and AI, I am currently the academic lead for the AI in Research Group leading AI policy development on the role of AI in the research process.
I am always happy to talk about all things science and society!
Visit my website for more information about my research, work and publications.
This project assesses the use of AI in the criminal justice system. More specifically, the overall aim of this study is to examine public and expert perceptions and attitudes regarding the use of Automatic Speech Recognition as forensic evidence in courtrooms. This specific project explores such perceptions and attitudes from a mixed qualitative research design consisting of an online qualitative survey and scenario-driven interviews?.
(Co-I). Peter Harrison (Law P-I) and James Tompkinson (Languages and Linguistics Co-I, funded by YorVoice).
AI deep fakes create ‘misuse’ of an individual’s personal image but little is known about whether this ‘personal image’ includes the voice. Despite emphasis on the legal and ethical implications of rights pertaining to image and voice (see the SAG “Actors strike”), the legal and ethical implications of this are relatively under-explored. Many of the existing intellectual property tools which have been successful in protecting intangible concepts fail when it comes to protecting the voice - particularly the voice of the ordinary person. With a focus on the creative industries, we seek to understand the characteristics of the voice and how to protect it by understanding the legal, linguistic and ethical dimensions of ‘personality of the voice’. In this project we ask; what are the characteristics of personality in voice and can they be protected? And can a framework concerning the rights and responsibilities of voice personality be developed?
SAINTS at the University of York is training 60 talented PhD students with the research expertise and skills needed to ensure that the benefits of AI-enabled Autonomous Systems (AI-AS) are realised without introducing harm as systems and their environments evolve. SAINTS is a single-university Centre for Doctoral Training with an enthusiastic and diverse leadership team, reflecting its ambition for its student cohorts: Prof Ibrahim Habli (Director), Dr Jenn Chubb, Dr Jo Iacovides, Prof Cynthia Iglesias, Dr Ana MacIntosh, Prof John McDermid, Dr Phillip Morgan, Dr Colin Paterson, Dr Zoe Porter, Prof Tom Stoneham, Prof Richard Wilson.
Artificial Intelligence (AI) and algorithms play an increasingly prevalent role in how we consume music and culture. Generative AI is expanding the boundaries of music, AI personalisation tools tailor listening experiences and this expansion extends to live music immersive XR experiences. The impacts of these developments has sparked debate and revolt across the creative industries. Whilst there is research into how listeners and musicians perceive artificially created music and the effects of AI consumption on societies, musician and gig-goer attitudes towards the disruption and innovation taking place in our music making, performing and gig-going is only peripherally explored.
This research reflects on 75 survey responses from UK gig-goers and musicians about their attitudes towards AI in music. We find a relative acceptance of AI providing its use is made transparent and under certain conditions of co-creation. An overall resistance towards AI’s ability to ‘mimic affect’ or reflect (let alone replace) the role of the human in art and music creation and live expression poses questions about human connection, authenticity and relatability in an age of AI music-making. One of the outputs of which was a public exhibition at Streetlife, York.
The potential of sound for storytelling and its impact on public perception is often ignored in favour of other aspects of a story’s production such as its contextual, technical or visual framing. Yet the soundtrack and sound design of stories allow the storyteller to speak to the audience and can influence their attitudes and understanding of a narrative object. The aim of this research is to understand in what ways a failure to consider the sonic framing of AI influences or undermines attempts to broaden public understanding of AI. Based on our preliminary impressions, we argue that the sonic framing of AI is just as important as other narrative features. Some of this research is published with We and AI and a forthcoming journal article in AI & Ethics.
This project aims to bring together expertise across the humanities and social sciences interested in Algorithms, Loss and Grief. In particular, I am interested in algorithmic hauntings or triggers affecting the grief process, digital death (and non-death) and the ethics of AI in understanding grief and loss.
In this work, we consider if we myopically focus on the moral positives of AI, then there is a risk of inadvertently creating corrupting techno-social systems, which is potentially going to make our future work environments even worse than they’re already likely to be. Contemporary theorising about the ethical dimensions of AI indicates at least two problematic tendencies. The first, a default focus on concepts like autonomy, justice, fairness, non-discrimination, explicable in terms of the entrenchment of a liberal morality of the sort central to much contemporary moral and political philosophy. Second, a focus on concepts that track the positive dimensions of moral practice and experience, such as virtue, flourishing, moral progress, the good life (Vallor, 2016). Taken together, the result is large-scale moral frameworks for moral appraisal of new technologies that fail to systematically address the negative aspects of moral life (Jobin et al, 2019): one is emphasis on virtues and excellences to the occlusion of vices and failings; another is affirmation of the edifying potential of new technologies to the relative neglect of the corrupting possibilities (Coekelberg, 2020). p.59). We suggest that a more comprehensive assessment of the moral possibilities of new technologies in the future of work requires a more complex set of concepts and sensibilities and that there are good empirical and theoretical reasons to consider the vicious and corrupting dimensions of new technologies. If so, exploring the negative moral possibilities of these technologies requires a greater sensitivity to what we will call technomoral-vices.
AI in Society Module Lead
Living in Digital Cultures
Questionning Digital Cultures
Researching Digital Life
Sociology of AI (SAINTS)
Current PhD students:
