Hodges' Model: Welcome to the QUAD: deception

Hodges' model is a conceptual framework to support reflection and critical thinking. Situated, the model can help integrate all disciplines (academic and professional). Amid news items, are posts that illustrate the scope and application of the model. A bibliography and A4 template are provided in the sidebar. Welcome to the QUAD ...

Showing posts with label deception. Show all posts
Showing posts with label deception. Show all posts

Wednesday, September 30, 2026

cfp Special issue: Int. Journal of Social Robotics "Towards Ethical Deception in HRI"

Dear colleagues, 

We would like to invite you to submit your works at the special issue on "Towards Ethical Deception in HRI" in International Journal of Social Robotics whose submission deadline is 19 December 2026. 

The special issue explores the design and ethical implications of robot deception in human–robot interaction, emphasising autonomy, well-being, and the protection of vulnerable populations. 

Read below further information, and please do not hesitate to contact us if you have any questions. 

Kind regards,
Alessandra Rossi 

Alessandra Rossi, PhD 
Assistant Professor Fellow of the Higher Education Academy Department of Electrical Engineering and Information Technologies - D.I.E.T.I. 
University of Naples Federico II Via Claudio, 21, 80125 - Naples, Italy 

w-page: https://alessandrarossi.net 
e-mail address: alessandra.rossi @ unina.it 
e-mail address: a.rossi @ herts.ac.uk

This Topical Collection focuses on deception in human-robot interaction and its ethical implications. In particular, robot deception is a complex yet potentially beneficial strategy. Intentional behaviours such as white lies or deliberate errors can foster trust, reduce distress, and improve therapeutic or educational outcomes. Robots may strategically omit information to maintain psychological stability or simulate imperfections to appear more relatable. While deception in human–robot interaction remains ethically controversial, its applications can enhance empathy, engagement, and learning. Ultimately, the capacity for controlled, prosocial deception highlights the need to reconsider moral frameworks governing social robotics, emphasizing the potential for nuanced, emotionally adaptive interactions.

This collection aims at exploring a design-centred and ethical-centred development of robotic deceptive behaviours for a successful human-robot interaction that, at the same time, is ethically acceptable and respect the autonomy and well-being of population, specially vulnerable individuals such as older people, patients and children. This Topical Collection is open to a broad audience from academia and industry researching social robotics, robot ethics, cognitive science, psychology, and philosophy of technology. It aims to attract an interdisciplinary audience that includes academics, industry researchers, designers, and policy-makers interested in exploring the integration of deceptive techniques in designed-centred and ethics-centred HRI. By collecting works addressing disciplinary and methodological boundaries, this collection seeks to promote a shared understanding of how social robots might responsibly employ complex behavioural strategies in human-centred contexts, such as education, healthcare and service.

Submission guidelines

All papers must be prepared in accordance with the Submission Guidelines. Articles for this Topical Collection should be submitted via our submission system, Editorial Manager. During the submission process you will be asked whether you are submitting to a Collection, please select "Towards Ethical Deception in HRI" from the dropdown menu.

Submitted papers should present original, unpublished work, relevant to one of the topics of the Topical Collection. All papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation by at least two reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Final decisions on all papers are made by the Editors-in-Chief.

My source: https://www.bcs-sgai.org/?section=server

Sunday, February 22, 2026

BCS SPECIALIST GROUP ON ARTIFICIAL INTELLIGENCE: Virtual seminar 'Generative AI'

BCS SPECIALIST GROUP ON ARTIFICIAL INTELLIGENCE (SGAI)

The next in our series of free evening virtual seminars will be on Wednesday March 11th from 6 p.m. to 7.30 p.m. (UK time). The topic will be Generative AI.

Synopsis
Generative AI is rapidly reshaping the landscape of intelligent systems. This virtual seminar covers cutting-edge research and visionary perspectives on the design, deployment, and governance of generative models. It explores how generative models are enabling adaptive control, task planning, and embodied intelligence in dynamic environments. It also addresses GenAI robustness, interpretability, and alignment which are critical pillars for deploying generative systems in high-stakes domains.

The speakers will be Dr Mark Post (University of York) on 'Safety, Trust, and Perception of Generative AI: Is it deceiving us, or are we deceiving ourselves?' and Dr Erfu Yang (University of Strathclyde) on 'Generative AI in Robotics and Automation: Applications, Advancements and Challenges'.
The virtual seminar series is free and open to all. For further details and for the zoom link to use go to http://https://bcs-sgai.org/seminars/2026-03-11/.

Details of future SGAI events will be placed on the website at https://bcs-sgai.org as they become available. To register to be sent information about future SGAI events by email go to https://www.bcs-sgai.org/register/.

Max Bramer
Chair, BCS SGAI
----------------------------------------------------
Chair, British Computer Society Specialist Group on Artificial Intelligence
Emeritus Professor, School of Computing, University of Portsmouth, UK
http://www.maxbramer.org

My source: BCS-AI mail list.