AISB – The Society for the Study of Artificial Intelligence and Simulation of Behaviour

AISB Convention 2026 – Non Member Registration

RobW — Mon, 13 Apr 2026 12:07:33 +0000

AISB Convention 2026

1-2 July 2026
University of Sussex, Brighton, UK

The AISB Convention is a flourishing annual conference that thrives from an interdisciplinary audience and facilitates discourse amongst a diverse set of researchers and research cultures. The 2026 convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) will be held as an in-person only event on 1st and 2nd July 2026.

Day of celebration: life and work of Prof Margaret Boden, 30 June.

Attendance to the day of celebration is free for attendees of the AISB Convention.

Registration fees for non-members are shown below. Note that to take advantage of the AISB member rate, you must first join AISB.

To become a member of AISB, simply select the ‘Join AISB’ menu item in the menu bar above, and follow the joining instructions. You can pay online via PayPal or using a credit card. You will usually receive your membership confirmation invoice within 48 hours.

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AISB Convention 2026 – Registration for AISB Members

RobW — Mon, 13 Apr 2026 12:00:57 +0000

You do not have member permissions to access this page. You must be logged in as an AISB member to access this page. If you still have issues accessing this page, then please email admin@aisb.org.uk

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Membership Options and Rates Updated

RobW — Sat, 27 Dec 2025 11:00:02 +0000

Following a committee decision to review membership fees and categories, international members now benefit from the same rates as UK/EU members. We have also introduced a new three-year discounted student/unwaged/retired rate. Membership rates were last increased in 2018. Since then, we have all experienced significant inflation, and AISB’s administrative costs have increased significantly. EurAI will be increasing their affiliation fee by 33% in 2026. In the UK the cumulative inflation since 2018 has been almost 29%. Whilst we recognise that academic members’ salaries may not have kept pace with inflation, we feel it is essential to increase membership fees to help address increased costs. The new Ordinary Member rate of £55 represents an increase of just under 15%. The new rates are available on the web site: https://aisb.org.uk/membership-options/

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Conference Reports: 28th European Conference on Artificial Intelligence (ECAI 2025)

Swen Gaudl — Fri, 19 Dec 2025 14:55:47 +0000

Conference Report: 28th European Conference on Artificial Intelligence (ECAI 2025)

Zhiwei Liu (University of Manchester, Zhiwei.liu@manchester.ac.uk)

I attended the 28th European Conference on Artificial Intelligence (ECAI 2025), held in Bologna, Italy, from October 25 to 30. The conference provided me with the opportunity to listen to inspiring talks by many distinguished experts and scholars in the field of AI. Moreover, I was honoured to present my research titled “ConspEmoLLM-v2: A Robust and Stable Model to Detect Sentiment-Transformed Conspiracy Theories” at the conference. I am deeply grateful to AISB for providing student funding, which enabled me to participate in ECAI 2025, engage with numerous scholars, build connections, and explore potential collaborations.

Presented Research

The work that I presented focused on addressing the challenges of detecting conspiracy theories in the era of large language models (LLMs). While LLMs bring numerous benefits, they also pose significant risks, particularly through their ability to generate or disguise misinformation such as conspiracy theories. My research examined how LLMs can rephrase conspiracy theories by softening their sentiment tone, transforming typically strong negative sentiment into a more neutral or even positive expression, which makes automated detection more difficult. To respond to this challenge, we developed an augmented dataset, ConDID-v2, which extends the existing ConDID conspiracy detection dataset by including LLM-rewritten versions of human-authored conspiracy tweets with reduced negativity. The quality of these rewritten texts was carefully assessed through both human and LLM-based evaluation. Using this new dataset, we trained ConspEmoLLM-v2, an enhanced conspiracy detection model that builds upon previous work. The results demonstrated that ConspEmoLLM-v2 not only maintains or improves performance on original human-authored content but also significantly outperforms existing models on sentiment-transformed data. This research highlights the importance of developing detection systems that remain robust even when misinformation is deliberately disguised through sentiment manipulation.

paper

ConspEmoLLM-v2: A Robust and Stable Model to Detect Sentiment-Transformed Conspiracy Theories

ECAI2025 Conference Overview

ECAI is Europe’s premier conference on Artificial Intelligence. it brought together leading researchers, students, and professionals from academia and industry to discuss the latest developments and challenges in AI. ECAI 2025, was held in Bologna, Italy, continuing its long tradition as a central meeting point for the AI community. The conference featured a comprehensive program including technical papers, workshops, invited talks, and the PAIS conference dedicated to AI applications. Topics covered the full breadth of artificial intelligence, with many papers exploring interdisciplinary themes that connect AI with fields such as ethics, cognitive science, and social impact.

Highlighted Talks

The conference featured a diverse range of insightful sessions that highlighted the depth and breadth of current AI research. Among the keynote talks, Prof. Mohit Bansal discussed building trustworthy and adaptive AI agents for collaborative reasoning and multimodal generation. Prof. Marco Dorigo presented a novel hierarchical architecture for robot swarms that combines the scalability of self-organization with the controllability of centralized systems. Prof. Edith Elkind discussed new approaches to defining and extending the concept of proportionality in multiwinner voting systems. Prof. Marta Kwiatkowska explored how formal verification methods can be used to provide provable guarantees of robustness in artificial intelligence systems. The “Frontiers in AI” series was particularly engaging, showcasing innovative perspectives across several domains. The invited talks showcasing cutting-edge research on AI reliability, transparency, verification, control, fairness, and human-centred design. Speakers introduced innovative methods for provably robust AI, interpretable models, effective human-AI interaction, and model-centric evaluation and control. The series offered a concise view of emerging trends and practical approaches shaping the future of AI research and applications.

Networking and Social Opportunities

The conference offered a wonderful combination of professional and social experiences, providing ample opportunities to connect with fellow participants, researchers, and professors in a relaxed and welcoming environment. I greatly enjoyed engaging in conversations during coffee breaks, lunches, and dinners, which allowed me to exchange ideas, gain new perspectives, and build meaningful professional relationships, particularly with researchers working in the field of misinformation detection. The Welcome Reception at Palazzo Re Enzo was a highlight, offering a historic and inspiring setting to meet new colleagues and share experiences. Similarly, the guided tour of Bologna provided a unique chance to explore the city while engaging in informal discussions with other participants. Beyond the academic interactions, I also had the chance to savor the local Italian cuisine, which added a memorable cultural dimension to the event. I am very thankful to AISB for supporting my participation, which made this valuable experience possible. This conference has been both inspiring and enriching, and I believe the connections and insights gained will have a lasting impact on my academic and professional development.

About the Author

Zhiwei Liu is a PhD candidate at the Department of Computer Science at the University of Manchester. He focuses on the technical applications and discoveries of LLMs, primarily applied in misinformation detection and sentiment analysis. Prior to this, he obtained his M.Sc. degree in Computer Science from the University of Chinese Academy of Sciences.

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AISB 2026 Symposium: Hype, Promise, and Speculation: AI Bubbles and the Replication Crisis in Computer Science

Kiona Bijker — Tue, 16 Dec 2025 16:23:38 +0000

AISB convention information

1-2 July 2026

AISB 2026, University of Sussex, UK

Keynote Speaker: Anil Seth, Professor of Cognitive and Computational Neuroscience, University of Sussex

Day of celebration: life and work of Prof Margaret Boden, 30 June.

Attendance to the day of celebration is free for attendees of the AISB Convention.

Symposium outline

In this symposium we intend to tackle complementary issues related to the likelihood of a replication crisis in computer science and computational methods, and an emerging AI bubble on the other.

The replication crisis

There is also uncertainty about the extent to which ‘questionable research practices’ (QRPs) can be found in the above contexts. These can include manipulating data for statistically significant results (p-hacking), post hoc analysis to find statistically significant outcomes (p-fishing), or so as to present these as expected, i.e. ‘Hypothesising After the Results are Known’ (HARKing) (Cockburn et al 2020). Meanwhile, there are also proposals to address QRPs in computer science research, for instance through replication or the use of pre-study registered reports that include hypotheses and methods etc (Brown et al 2022).

AI bubbles

In addition to the above are epistemic bubbles, which form around new or ‘popular’ ideas. ‘Epistemic bubbles’ may include ‘self-segregated’ networks of ‘like-minded people’ whose members are ‘liable to converge on and resist correction of false, misleading or unsupported claims’ (Sheeks 2023). These bubbles can in turn create ‘social epistemic’ structures which are similar to echo chambers, ‘in which other relevant voices have been actively discredited’ (Nguyen). In AI contexts, these epistemic bubbles might exclude voices who are critical of these technologies, or who doubt either its identity as AI, or its scope for positive impacts and change. Not least as ‘AI’ as a term brings greater expectations, including financial, compared with describing the technology in terms of its components and capacities, e.g. as LLMs, RAGs, DNNs, transformers, models, etc. Bubbles can also be created through the use of AI itself, for instance due to its scope for personalisation on media platforms, and agreeableness in GenAI chatbots, such that views of users are neither challenged nor developed.

References

Allyn, B. (November 2025). Here's why concerns about an AI bubble are bigger than ever. Published online at NPR. Retrieved from: https://www.npr.org/2025/11/23/nx-s1-5615410/ai-bubble-nvidia-openai-revenue-bust-data-centers

Brown, N. C., Marinus, E., & Hubbard Cheuoua, A. (2022, August). Launching registered report replications in computer science education research. In Proceedings of the 2022 ACM Conference on International Computing Education Research, Volume 1, 309-322.

Carvão, P. (August 2025). Is The AI Bubble Bursting? Lessons From The Dot-Com Era. Published online at Forbes.Retrieved from: https://www.forbes.com/sites/paulocarvao/2025/08/21/is-the-ai-bubble-bursting-lessons-from-the-dot-com-era/

Casselman, B. & Ember, S. (November 2025). The A.I. Boom Is Driving the Economy. What Happens if It Falters? Published online at NY Times. Retrieved from: https://www.nytimes.com/2025/11/22/business/the-ai-boom-economy.html

Cockburn, A., Dragicevic, P., Besançon, L., & Gutwin, C. (2020). Threats of a replication crisis in empirical computer science. Communications of the ACM, 63(8), 70-79.

Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023) Artificial Intelligence Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/artificial-intelligence'

Gundersen, O.E., Cappelen, O., Mølnå, M. and Nilsen, N.G. (2025). The Unreasonable Effectiveness of Open Science in AI: A Replication Study. Proceedings of the AAAI Conference on Artificial Intelligence. 39, 25 (Apr. 2025), 26211-26219. DOI:https://doi.org/10.1609/aaai.v39i25.34818.

Miłkowski, M., Hensel, W. M., & Hohol, M. (2018). Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail. Journal of computational neuroscience, 45(3), 163-172.

Sheeks, M. (2023). The Myth of the Good Epistemic Bubble. Episteme, 20(3), 685–700. https://doi.org/10.1017/epi.2022.52

Nguyen, C. Thi. (2020). Echo Chambers and Epistemic Bubbles. Episteme 17 (2): 141–61.https://doi.org/10.1017/epi.2018.32.

Yip J. (October 2025) Are we in an AI bubble? Here’s what analysts and experts are saying Published online at cnbc.com. Retrieved from: https://www.cnbc.com/2025/10/21/are-we-in-an-ai-bubble.html

Submissions

We invite papers from a wide range of disciplines, including computer science, AI, Machine Learning, Natural Language Processing, Explainable AI, philosophy, behavioural sciences, psychology, social sciences, and those working with computational models, e.g. in finance.

We welcome a broad variety of topics, including but not limited to:

Machine learning (e.g. modelling, AI)
Large language models
Neural networks
Deep learning
Explainable AI
Decision trees
Replication crisis
AI bubble(s)

Example research questions:

What kinds of impacts are computational methods having on science, e.g. machine learning methods, statistical analysis?
How do computer science methods harm or help the replicability of research?
Is research in computer science replicable?
Does the name ‘Artificial Intelligence’ have an effect on what is expected of AI?
Are current valuations (financial, social etc) of AI realistic?
Is there an AI bubble in science?
Related bubbles that might be relevant to these topics, e.g. is big data also a bubble?

Submission timeline

March 23 2026

Submission of extended abstracts

March 30 2026

Abstracts allocated to viewers

April 17 2026

Deadline for reviews, for circulation to authors

May 22 2026

Date by which camera-ready copies of final papers should be received from authors, along with completed copyright forms.

June 5 2026

PDF Camera ready proceedings submitted to AISB-2026 organisers, along with all copyright forms.

Organising Committee

Y. J. Erden (University of Twente)
Kiona Bijker (University of Twente)
Katleen Gabriels (Maastricht University)
Martin Lentschat (Université Toulouse)
Doina Bucur (University of Twente)

Programme committee

Maren Behrensen (Philosophy, University of Twente)
Marcus Gerhold (Computer Science, University of Twente)
Susannah E. Glickman (History, Stony Brook University)
Adam Henschke (Philosophy, University of Twente)
Saana Jukola (Philosophy, University of Twente)
Miles MacLeod (Philosophy, University of Twente)
Cyrus C. M. Mody (STS, Maastricht University)
Yagmur Ozturk (Grenoble Informatics Laboratory (LIG), Université Grenoble Alpes)
Stephen Rainey (Philosophy, TU Delft)
Danielle Shanley (Philosophy, Maastricht Univertisy)
Nicola Strisciuglio (Computer Science, University of Twente)
Rob Wortham (Dept of Electronic and Electrical Engineering, University of Bath)

Schedule

The schedule will appear here when it becomes available

Call for Abstracts

Please send any questions to Y. J. Erden (University of Twente):

1-2 July 2026

AISB 2026, University of Sussex, UK, https://aisb.org.uk/

Keynote Speaker: Anil Seth, Professor of Cognitive and Computational Neuroscience, University of Sussex

Day of celebration: life and work of Prof Margaret Boden, 30 June.

Attendance at the day of celebration is free for attendees of the AISB Convention.

Symposium outline

In this symposium we intend to tackle complementary issues related to the likelihood of a replication crisis in computer science and computational methods, and an emerging AI bubble.

Symposium website: https://aisb.org.uk/aisb-2026-symposium-hype-promise-and-speculation

Submission: Extended abstracts of 500 words (maximum, excluding references) to Easychair: https://easychair.org/conferences/?conf=aibc2026

Deadline: 23 March 2026

OVERVIEW:

The replication crisis

The replication crisis has crossed multiple fields in science asking if results presented in published papers can be reproduced, repeated, and/or replicated. In their efforts to verify results various disciplines, including computer science, have already found that the answer for too many papers is “no” (Gundersen et al 2025, Cockburn et al 2020). In this symposium we look at the replication crisis as it pertains especially to computer science, whether within the discipline (cf. Cockburn et al 2020), or as applied to, or utilised in, other disciplines, such as computational modelling for neuroscience (Miłkowski et al 2018). There is also uncertainty about the extent to which ‘questionable research practices’ (QRPs) can be found in the above contexts. These can include manipulating data for statistically significant results (p-hacking), post hoc analysis to find statistically significant outcomes (p-fishing), or to present these as expected, i.e. ‘Hypothesising After the Results are Known’ (HARKing) (Cockburn et al 2020). Meanwhile, there are also proposals to address QRPs in computer science research, for instance through replication or the use of pre-study registered reports that include hypotheses and methods etc (Brown et al 2022).

AI bubbles

It’s clear that AI development is expanding substantially (Giattino et al 2023) , but the extent to which this growth is sustainable is unclear. Meanwhile, the possibility of this becoming another bubble, like those from the dot com boom and real estate, is clear (Carvão 2025). A bubble is a vague concept that captures where a process or commodity is valued or hyped beyond its intrinsic worth, typically in unsustainable ways. If contemporary expectations currently dominating the AI field do turn out to be a bubble we can expect further expansion, and then collapse, typically causing damage in the process. The economic damage of a collapse is already estimated by US commentators to rival the bursting of the dot-com bubble in 1990 and the financial crash of 2008 (Allyn 2025, Casselman and Ember 2025, Yip 2025). In the symposium we look beyond the speculation of AI stocks at the promises and reality of AI capabilities and what the effects of the potential bubble are. In addition to the above are epistemic bubbles, which form around new or ‘popular’ ideas. ‘Epistemic bubbles’ may include ‘self-segregated’ networks of ‘like-minded people’ whose members are ‘liable to converge on and resist correction of false, misleading or unsupported claims’ (Sheeks 2023). These bubbles can in turn create ‘social epistemic’ structures which are similar to echo chambers, ‘in which other relevant voices have been actively discredited’ (Nguyen 2020). In AI contexts, these epistemic bubbles might exclude voices who are critical of these technologies, or who doubt either its identity as AI, or its scope for positive impacts and change. Not least as ‘AI’ as a term brings greater expectations, including financial, compared with describing the technology in terms of its components and capacities, e.g. as LLMs, RAGs, DNNs, transformers, models, etc. Epistemic bubbles can also be created through the use of AI itself, for instance due to its scope for personalisation on media platforms, and agreeableness in GenAI chatbots, such that views of users are neither challenged nor developed.

TOPICS OF INTEREST

We invite papers from a wide range of disciplines, including: computer science, AI, Machine Learning, Natural Language Processing, Explainable AI, philosophy, behavioural sciences, psychology, social sciences, and those working with computational models, e.g. in finance.

We welcome a broad variety of topics, including but not limited to:

Machine learning (e.g. modelling, AI)
Large language models
Neural networks
Deep learning
Explainable AI
Decision trees
Replication crisis
AI bubble(s)

Example research questions:

What kinds of impacts are computational methods having on science, e.g. machine learning methods, statistical analysis?
How do computer science methods harm or help the replicability of research?
Is research in computer science replicable?
Does the name ‘Artificial Intelligence’ have an effect on what is expected of AI?
Are current valuations (financial, social etc) of AI realistic?
Is there an AI bubble in science?
Related bubbles that might be relevant to these topics, e.g. is big data also a bubble?

SUBMISSION AND PUBLICATION DETAILS

Submission: Extended abstracts of 500 words (maximum, excluding references) to Easychair: https://easychair.org/conferences/?conf=aibc2026

Deadlines:

Abstract submission deadline: 23 March 2026
Notification of acceptance/rejection decisions: 17 April 2026
Final versions of accepted abstracts: 22 May 2026
Conference: 1 to 2 July 2026 [symposium date tbc]

SYMPOSIUM ORGANISERS:

Organising Committee

Y. J. Erden (University of Twente) y.j.erden@utwente.nl
Kiona Bijker (University of Twente) k.bijker@student.utwente.nl
Katleen Gabriels (Maastricht University) k.gabriels@maastrichtuniversity.nl
Martin Lentschat (Université Toulouse) martin.lentschat@univ-tlse2.fr
Doina Bucur (University of Twente) d.bucur@utwente.nl

Programme committee

Maren Behrensen (Philosophy, University of Twente)
Marcus Gerhold (Computer Science, University of Twente)
Susannah E. Glickman (History, Stony Brook University)
Adam Henschke (Philosophy, University of Twente)
Saana Jukola (Philosophy, University of Twente)
Miles MacLeod (Philosophy, University of Twente)
Cyrus C. M. Mody (STS, Maastricht University)
Yagmur Ozturk (Grenoble Informatics Laboratory (LIG), Université Grenoble Alpes)
Stephen Rainey (Philosophy, TU Delft)
Danielle Shanley (Philosophy, Maastricht Univertisy)
Nicola Strisciuglio (Computer Science, University of Twente)
Rob Wortham (Dept of Electronic and Electrical Engineering, University of Bath)

About the AISB: https://aisb.org.uk/

The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) is the largest Artificial Intelligence Society in the United Kingdom. Founded in 1964, the society has an international membership from academia and industry, with a serious interest in Artificial Intelligence, Cognitive Science and related areas. It is a member of the European Coordinating Committee for Artificial Intelligence. The AISB Convention typically consists of a set of co-located symposia on a wide-range of topics in AI and the simulation of behaviour; there are often also a number of plenary lectures, and other events such as public engagement sessions, and historical/artistic exhibitions. The symposium model allows for the community to decide what the current topics of interest are and the direction that the field is heading. The event is central to the AISB and its mandate of promoting AI research, and in providing early career researchers and students a supportive environment in which to discuss their research.

References

Cockburn, A., Dragicevic, P., Besançon, L., & Gutwin, C. (2020). Threats of a replication crisis in empirical computer science. Communications of the ACM, 63(8), 70-79.

Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023) Artificial Intelligence Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/artificial-intelligence'

Gundersen, O.E., Cappelen, O., Mølnå, M. and Nilsen, N.G. 2025. The Unreasonable Effectiveness of Open Science in AI: A Replication Study. Proceedings of the AAAI Conference on Artificial Intelligence. 39, 25 (Apr. 2025), 26211-26219. DOI:https://doi.org/10.1609/aaai.v39i25.34818.

Sheeks, M. (2023). The Myth of the Good Epistemic Bubble. Episteme, 20(3), 685–700. https://doi.org/10.1017/epi.2022.52

Nguyen, C. Thi. 2020. “ECHO CHAMBERS AND EPISTEMIC BUBBLES.” Episteme 17 (2): 141–61.https://doi.org/10.1017/epi.2018.32.

Yip J. (October 2025) Are we in an AI bubble? Here’s what analysts and experts are saying Published online at cnbc.com. Retrieved from: https://www.cnbc.com/2025/10/21/are-we-in-an-ai-bubble.html

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Michael Faraday Prize Lecture: This is not the AI we were promised

RobW — Tue, 11 Nov 2025 15:22:45 +0000

Talk Announcement: Professor Michael Wooldridge, AISB Fellow

18 February 2026
18:30 – 19:30
The Royal Society
Watch online

Contemporary AI systems such as ChatGPT seem to offer articulate, wide-ranging expertise — yet beneath the surface, they fail many basic tests of rational intelligence. In this engaging talk, Professor Michael Wooldridge (Fellow of AISB) explores how these systems actually work and why they display such strange, inconsistent, and often entertaining behaviour. He will contrast today’s AI with classical ideas of logic and reason, and discuss what these developments mean for the future frontiers of artificial intelligence — and for the enduring dream of truly intelligent machines.

Full details are available here on the Royal Society web site.

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Food for thought: Can the EU be an AI Powerhouse

Bertie Müller — Tue, 04 Nov 2025 18:10:39 +0000

In a report published yesterday, Andrea Renda and Nicoleta Kyosovska from the Centre for European Policy Studies (CEPS) comment on the
EU plans for AI (giga)factories: sanctuaries of innovation, or cathedrals in the desert?
Download the full report here.

Is this the right direction for Europe?

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Member discounts on DELL equipment

RobW — Mon, 03 Nov 2025 11:58:33 +0000

We are delighted to announce that AISB members can now receive discounts on DELL computer equipment and accessories. Simply log in to the AISB web site, access the ‘Members Area’ menu and select the ‘Member benefits from DELL’ menu item for full instructions.

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AISB 2026 – Call for Symposia Proposals

RobW — Mon, 13 Oct 2025 15:32:02 +0000

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex

DEADLINE: November 30, 2025

Contact: Simon Bowes S.C.Bowes@sussex.ac.uk

AISB 2026 will be held at the University of Sussex on the 1st-2nd July. Further information on arrangements for the convention will be made available as information becomes available.

Keynote Speaker: Anil Seth

The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed:

AI in Education
Agency & AI
Art & AI
Cognitive & Computational Neuroscience
Computational theory of mind
Computational Intelligence
Consciousness
Embodiment and AI
Ethics of AI
Human and Machine Creativity
Hybrid Human-AI
Knowledge Representation
Machine Learning
Robotics
Bio-inspired approaches
Simulation of Human and Animal Behaviour
The Turing Test and Philosophical Foundations of AI

Proposing a Symposium

Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings.

Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join!

Deadline for symposium proposals: 30th November 2025
Notification of acceptance: 15th December 2025

Submissions should consist of the following:

A title.
A 300–1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.).
Whether the symposium is intended as a sequel to a symposium at a previous AISB conference.
An indication of whether submissions will be by abstract, extended abstract, or full paper.
Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification.
A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience).
Names and affiliations of any invited speakers that you may have in mind for the symposium.
Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee.

Please e-mail your completed proposal to Simon Bowes: S.C.Bowes@sussex.ac.uk

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Michael Faraday Prize awarded to AISB Fellow Prof Mike Wooldridge

RobW — Tue, 02 Sep 2025 10:19:25 +0000

It is with great joy that we note this week that the Royal Society has awarded the Michael Faraday Prize and Lecture 2025 to AISB Fellow Professor Michael Wooldridge.

The award was made based on Professor Wooldridge’s award-winning work as a leading researcher, educator and commentator in the field of Artificial Intelligence (AI). His popular science books, lectures and media appearances have informed millions. Full details are available on the Royal Society web site.

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