This is a past event
Organised by Dr Arabella Sinclair and Prof. Georgios Leontidis as part of our Interdisciplinary Human-Centred AI network and our Turing University Network activities, we invite colleagues to participate in our interdisciplinary meeting focussing on Human-Centred AI research (HCAI), and its implications across disciplines (including e.g. Engineering, Psychology, Law, Health Sciences, Language, Literature, Music, Computing Science, Business, Visual Culture & Philosophy). We believe it is essential to address future challenges of AI from a fundamentally human centric and interdisciplinary perspective.
This series of lightning talks will involve researchers from the above disciplines presenting their work and how it relates to the network's common interest Human-Centred AI and Human-Robot Interaction (HRI). Speakers will present their perspectives, with the remainder of the session dedicated to discussion, questions and networking. This event will serve as a platform for exploring key themes across disciplines, and to foster future collaborative initiatives to help shape the future landscape of AI research.
Talks and Speakers:
‘Face-to-face conversation with socially intelligent robots.’ Dr Mary Ellen Foster - Senior Lecturer, School of Computing Science at the University of Glasgow
‘Mind the Mind-Gap: Making Robot Behaviour and Minds More Understandable to Human Interaction Partners’
Joel Currie –Postgraduate Research Student, University of Aberdeen
‘Propagation of Gender Stereotypes in Experimental Human-AI Interactions’
Jacobo Azcona –Postgraduate Research Student, University of Aberdeen
About the Network: The interdisciplinary Human-Centred AI (HCAI) network involves a wide range of colleagues from across the University who have an interest in the intersection of AI technologies and the role played by humans in its development, as decision-makers, end-users, affected parties, collaborators, and designers. The network considers aspects related to linguistics, psychology, human creativity and culture, and policy, bias/discrimination/ramifications of generative AI, social and legal implications, philosophical elements of AI, AI-to-AI interactions, and more. The network’s aim is to enhance interdisciplinarity in the above areas and help to develop interdisciplinary projects and funding proposals, supporting engagement activities that will enhance the external profile of the University.
To register for this event please email The Grants Academy: grantsacademy@abdn.ac.uk
If you are unable to attend but would be interested to join the network or participate in future events please contact Alice Toulson to be added to the circulation list: alice.toulson@abdn.ac.uk
Tea and coffee will be provided.
Dr Mary Ellen Foster - Senior Lecturer, School of Computing Science at the University of Glasgow
‘Face-to-face conversation with socially intelligent robots.’
When humans talk to each other face-to-face, they use their voices, faces, and bodies together in a rich, multimodal, continuous, interactive process. For a robot to participate fully in this sort of natural, face-to-face conversation in the real world, it must also be able not only to understand the social signals of its human partners, but also to produce appropriate signals in response. I will present recent research in this area, and will also discuss the emerging ethical implications of real-world deployment of socially intelligent robots.
Biography: Dr Mary Ellen Foster is a Senior Lecturer in the School of Computing Science at the University of Glasgow. Her primary research interests are human-robot interaction, social robotics, and embodied conversational agents. She recently coordinated the MuMMER project, a European Horizon 2020 project in the area of socially aware human-robot interaction, and is currently coordinating a UK/Canada collaborative project investigating the use of socially intelligent robots in paediatric emergency rooms. She obtained her PhD from the University of Edinburgh in 2007 and has previously worked at the Technical University of Munich and Heriot-Watt University. Her homepage is http://www.maryellenfoster.uk/
Joel Currie –Postgraduate Research Student, University of Aberdeen ‘Mind the Mind-Gap: Making Robot Behaviour and Minds More Understandable to Human Interaction Partners’ Technological advancements in artificial intelligence and robotics have led to more autonomous and capable robots. As these next generation of robots emerge from research labs, it is increasingly important that human interaction partners are able to understand the actions they produce, and the minds of their robot counterparts from which these actions originate. In this talk I will showcase completed research, and works in progress, that addresses two key questions: Firstly, how robot sound and kinematic cues can be used to shape how robot actions are represented by humans. Second, how non-verbal interactive behaviours and socially affording morphologies may help people see the world from a robot’s perspective.
Jacobo Azcona –Postgraduate Research Student, University of Aberdeen
‘Propagation of Gender Stereotypes in Experimental Human-AI Interactions’
In a series of experiments, we explore the amplification of gender stereotypes during Human-AI Interactions (HAII), utilizing OpenAI's GPT for prompt engineering to embed non-toxic male and female stereotypes into natural language descriptions of people’s characters. Observing their significant impact in an online first impression task, our findings highlight AI's potential role in reinforcing gender biases, emphasizing the imperative for ethical AI development practices. This research underscores the importance of mitigating gender stereotype propagation, advocating for interdisciplinary and human-centric AI approaches.
- Hosted by
- University of Aberdeen
- Venue
- New King's 1 (NK1)