TechShow London – Big Data & AI World

Tech Show London has announced registration for its 2025 edition is now open. Taking place on 12-13 March 2025 at Excel London, the award-winning event will once again bring together five co-located shows: the refreshed Cloud & AI Infrastructure, DevOps Live, Cloud & Cyber Security Expo, Big Data & AI World, and Data Centre World.

Across two days, Tech Show London will provide a platform for thought leadership, collaboration, and innovation. Attendees can engage with industry experts, discover emerging technologies, and gain valuable insights to future-proof their businesses.

In 2024, the Tech Show London Mainstage featured an impressive lineup of global leaders and innovators including Professor Brian Cox; former investor on Dragons’ Den and Co-founder of Implement AI, Piers Linney; Chief Technologist at NASA, Dr Carolyn Mercer; Dame Stephanie Shirley; Founder of Starling Bank, Anne Boden MBE; Technical Expert Witness for Bates vs Post Office, Jason Coyne; CDIO at the Ministry of Justice, Gina Gill; and Chief Information Technology Officer at the United Nations, Bernardo Mariano Junior.

AISB Chair, Bertie Muller will contribute in two sessions:
12 March 2025 – AI vs. AI: Defending Systems from Intelligent Threats
13 March 2025 – Panel: How Strategic Practices Can Improve Incident Response and Strengthen Organisational Defences

Register now

Read the full article at: https://www.techerati.com/news-hub/registration-goes-live-for-tech-show-london-2025/

AISB/AIxIA Spotlight Seminar on AI – 27 Feb 2025

Bernardo Magnini Fondazione Bruno Kessler
February, 27 – 5:00PM (CEST)

Title: Rethinking NLP Evaluation in the Age of LLMs: Lessons from Benchmarking Italian

Abstract: Large Language Models (LLMs) are now at the core of most NLP applications, mainly because of their strong performance and their adaptability to different tasks and languages. However, despite their widespread use, evaluating LLMs is still an active area of research, and a debate about methodologies is ongoing. Several issues are under discussion, including competence-oriented and task-oriented approaches; how to balance prompt naturalness and effectiveness; investigate the role of multiple prompts in evaluation; considering both multiple-choice and generative tasks along with the most appropriate metrics for each; and comparing zero-shot and few-shot settings taking into consideration execution performance. To be more concrete, I will report examples and lessons learned from developing an LLM benchmark for the Italian language.

Bio: Bernardo Magnini is senior researcher at FBK (Trento, Italy), and responsible of the NLP research group. His interests are in the field of Computational Linguistics, particularly lexical semantics and lexical resources, question answering, textual entailment, and conversational agents, areas in which he has published more than 300 scientific papers. He has co-chaired several events, including EVALITA, the evaluation campaign for both NLP and speech tools for the Italian language, CLIC-it 2014 (the first Italian conference on Computational Linguistics), AI*IA 2018 (the 17th International Conference of the Italian Association for Artificial Intelligence) and ACL 2022, the 60th Annual Meeting of the Association for Computational Linguistics. He has been contract professor at the University of Trento, Bolzano and Pavia, and President of the Italian Association for Computational Linguistics (AILC) from 2015 to 2022.

Live Stream and recording:https://www.youtube.com/watch?v=-EIvRMMw2UQ

Spotlight Seminar on AI: Anthony Cohn (30 January 2025)

The Italian Association for Artificial Intelligence, in collaboration with the AISB (Society for the Study of Artificial Intelligence and Simulation of Behaviour, UK) is pleased to announce the next seminar of its Spotlight Seminars on AI initiative:

January 30 – 5:00 P.M. (CET)

Title: Evaluating Commonsense Reasoning in Large Language Models

Speaker: Anthony Cohn, University of Leeds, UK

Streaming link: https://www.youtube.com/@AixiaIt/streams

Abstract: In this talk I will discuss the ability of LLMs to perform commonsense reasoning, particularly with regard to spatial reasoning. Across a wide range of LLMs, although they show abilities rather better than chance, they still struggle with many questions and tasks, for example when reasoning about directions, or topological relations. I will also discuss issues arising from the fact that some of the most powerful language models currently are proprietary systems, accessible only via (typically restrictive) web or software programming interfaces. This is the Language-Models-as-a-Service (LMaaS) paradigm. In contrast with scenarios where full model access is available, as in the case of open-source models, such closed-off language models present specific challenges for evaluating, benchmarking, and testing them.

Bio: Anthony (Tony) Cohn is Professor of Automated Reasoning in the School of Computer Science, University of Leeds. His current research interests range from theoretical work on spatial calculi (receiving a KR test-of-time classic paper award in 2020) and spatial ontologies, to cognitive vision, modelling spatial information in the hippocampus, and Decision Support Systems, particularly for the built environment, as well as robotics. He is Foundation Models lead at the Alan Turing Institute where he is conducting research on evaluating the capabilities of large language models, in particular with respect to commonsense reasoning, and is also a co-investigator on a project combining LLMs and probabilistic answer set programming. He is Editor-in-Chief of Spatial Cognition and Computation and was previously Editor-in-chief of the AI journal. He has previously been President of IJCAI, EurAI, KR inc, and AISB. He is the recipient of the 2021 Herbert A Simon Cognitive Systems Prize, and is also (uniquely) the recipient of Distinguished Service Awards from the three main international AI societies: IJCAI, AAAI and EurAI, as well as from KR Inc. He is a Fellow of the Royal Academy of Engineering, the Learned Society of Wales, the AI societies AAAI, AISB, EurAI and AAIA, as well as the CORE Academy (International Core Academy of Sciences and Humanities) and the International AI Industry Alliance.

The joint AI*IA/AISB Committee of the Spotlight Seminars on AI,

Giuseppe De Giacomo

Floriana Grasso

Antonio Lieto

Bertie Müller

Luciano Serafini

Further information on this and upcoming talks in the Winter series can be found at https://aixia.it/en/incontri/spotlight-seminars-on-ai-winter-2025/

AISB partners with Big Data & AI World

We’re proud to be partnering with Big Data & AI World 2025! Join us on 12-13 March at Excel London – Register today!

Big Data & AI World is the UK’s premier event for data and AI. Join industry leaders to explore transformative innovations, ethical AI, and emerging trends. Discover solutions to today’s challenges and unlock the future of data-driven opportunities.

Register here: https://www.bigdataworld.com/QuatroHive

AI and Big Data Expo

AI and Big Data Expo

Expert line-up announced for the upcoming AI & Big Data Expo Global! Explore the latest innovations within AI & Big Data, and join top-level content and thought leadership discussion with industry-leading experts. @ai_expo #AI #BigData

Explore the future of AI & Big Data – Olympia, London between 5th – 6th February 2025. Learn more about the in-person event here: https://www.ai-expo.net/global/ @ai_expo #AI #BigData

Register today for the in-person event exploring AI & Big Data between 5th – 6th February. AI & Big Data will explore the future of #AI and #BigData via live sessions over two days. Find out more: https://www.ai-expo.net/global/ @ai_expo #AI #BigData

Next Spotlight Seminar on AI – 20 June 2024

The Italian Association for Artificial Intelligence, in collaboration with the AISB (Society for the Study of Artificial Intelligence and Simulation of Behaviour, UK) is pleased to announce the next seminar of its Spotlight Seminars on AI initiative:

30 June – 4:00PM (BST)
Title: Symbolic Reasoning for Large Language Models
Speaker: Guy Van den Broeck, UCLA, USA

Link Streaming (Live section): https://www.youtube.com/c/AixiaIt

Many expect that AI will solve society’s problems by simply being more intelligent than we are. Implicit in this bullish perspective is the assumption that AI will naturally learn to reason from data: that it can form trains of thought that “make sense”, similar to how a human expert might reason about a case, or more formally, how a mathematician might prove a theorem. This talk will investigate the question whether this behavior can be learned from data, and how we can design the next generation of AI techniques that can achieve such capabilities. It will focus on neurosymbolic reasoning for large language models, both at training and generation time, using probabilistic circuits as the architecture that bridges learning and reasoning.
Bio: Guy Van den Broeck is an Associate Professor and Samueli Fellow at UCLA, in the Computer Science Department, where he directs the StarAI lab. His research interests are in Machine Learning, Knowledge Representation and Reasoning, and Artificial Intelligence in general. His papers have been recognized with awards from key conferences such as AAAI, UAI, KR, and OOPSLA. Guy is the recipient of an NSF CAREER award, a Sloan Fellowship, and the IJCAI-19 Computers and Thought Award.

The joint AI*IA/AISB Committee of the Spotlight Seminars on AI,

Giuseppe De Giacomo
Floriana Grasso
Antonio Lieto
Bertie Muller
Luciano Serafini

AISB partnering with Big Data & AI World 2024

We’re excited to announce that we are partnering with Big Data & AI World 2024 again this year. The event is taking place on 6 & 7 March at ExCeL, London. We will also be partnering with the Frankfurt edition of Big Data & AI World in May.

It would be great to see you there, register for free to join us: Click here to register

Register for BDAIW2024

Follow the latest news and speaker lineup: Stellar speaker lineup announced for Tech Show London 2024

AISB Activities at Major AI Business Events

It has been confirmed that AISB will be represented at the following events in 2023 in the UK and in Europe. We would encourage members to attend these free events.

Register

Expert insights: 5 key principles for responsible AI

08 Mar 2023, 15:10 – 15:40, AI, Machine Learning & Advanced Analytics Theatre

According to a recent study by Accenture, almost two-thirds of people distrust AI. Whether it’s the general public, your customers, government regulators or even your employees, a lot of people will look at your company’s AI plans with scepticism or concern. The fact is that AI, while powerful, can have some seriously negative consequences if used in the wrong way. In this session, our panel of experts will be discussing the ethics and principles of a responsible approach to AI, including:

• Examples of AI misuse
• Creating policies that reduce the risks
• The importance of transparency in building trust
• Reflecting on biases and unintended consequences

Chairperson

Bertie Müller, Chair – AISB – Society for the Study of Artificial Intelligence and Simulation of Behaviour

Speakers

Muniba Talha, Associate Professor – Copenhagen School of Design & Technology

Myrna Macgregor, Principal Data Strategist & Lead for Responsible AI/Robotics – OCADO TECHNOLOGY

Gunay Kazimzade, AI PhD Researcher – Technical University of Berlin/Zalando

Generative AI – opportunities and risks in the light of new EU AI legislation.

09 Mar 2023, 11:10 – 11:35, AI, Machine Learning & Advanced Analytics Theatre

The presentation will shed some light on the advances in generative AI and its immediate effects on organisations in various sectors. Examples will be given, detailing impact on public and private sector organisations. These will be and put into a perspective of global AI legislation.

Speaker

Bertie Müller, Chair – AISB – Society for the Study of Artificial Intelligence and Simulation of Behaviour

Big Data and AI World Global 2023 is just around the corner! Have you got your free ticket? As a proud partner of this award-winning event, we can’t wait to see our followers there for two days of insightful #techtalks, valuable #networking, and incredible #innovations! Secure your free ticket at https://www.bigdataworld.com/AISB.

BIG DATA & AI WORLD FRANKFURT
Germany’s leading event for Big Data & AI technology

Big Data & AI World Frankfurt will bring together Big Data & AI innovators, technology experts and business leaders from 10-11 May 2023 to help shape the future and achieve successful digital transformation.

AISB will be featured in some of the sessions.


Registration link (North America): https://www.ai-expo.net/northamerica/ticket-types-and-prices/

Details on the AISB involvement in Keynotes to follow.

The most recent information about the agenda, speakers, exhibitors, and tickets can be found on organiser’s website: https://www.ai-expo.net/global/
.

AISB 2023

When: 13-14 April 2023

Where: Swansea, Wales, 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. Attendance will be free for AISB members.

The 2023 convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) will be held as a hybrid in-person and online event 13-14 April 2023. The convention will consist of several tracks based on popular symposia of previous AISB conventions instead of separately organised symposia. This decision was made to streamline the processes involved in organising the convention in the context of reduced timeframes due to COVID-19 disruptions from the past years and the longer-term changes this has brought about for the reseach community. In addition to the thematic tracks, we will run a general track that can accommodate papers on any topic related to AI.

Please see below for a list of tracks for 2023.

AI & Games (AIG)

This track focuses on the application of artificial intelligence or intelligent-like techniques, frameworks and theories to the creation of intelligent games.
AI can be used in any manner suitable in the game, from the algorithm to making the game more engaging, personalised, and/or interactive.
The following non-exhaustive list of research and practice shows potential submission topics:

  • Use of AI techniques (e.g. planning, learning, evolution etc.)
  • Design and engineering of AI components
  • Procedural content generation
  • Intelligent or adaptive player interaction
  • Game analytics
  • Data-driven player modelling
  • Agent decision making systems
  • Intelligent agents
  • Environmental simulations
  • Interactive narrative generation
  • Intelligent narrative technologies
  • Experimental AI
  • Serious games & gamification

AI Ethics (AIE)

Recent years have seen an increased awareness of ethical issues stemming from a lack of responsibility in the design and deployment of AI- and data-driven technology systems. This track explores solutions to these issues. Some topics of interest:

  • Algorithmic fairness
  • Diversity
  • Data governance
  • Accountability
  • Data privacy
  • AI ethics principles
  • Implementing ethical reasoning
  • AI regulation
  • Explainable AI

Computational Creativity (CC)

Computational creativity is continuing to attract researchers from both arts and science backgrounds. Philosophers, cognitive psychologists, computer scientists and artists have all contributed to and enriched the literature.
Many argue a machine is creative if it simulates or replicates human creativity (e.g. evaluation of AI systems via a Turing-style test), while others have conceived of computational creativity as an inherently different discipline, where computer generated (art)work should not be judged on the same terms, i.e. being necessarily producible by a human artist, or having similar attributes, etc.
More general topics of interest for this symposium include, but are not limited to:

  • Novel systems and theories in computational creativity, in any domain, e.g. drawing and painting, music, storytelling, poetry, conversation, games, etc.
  • The evaluation of computational creative systems, processes and artefacts
  • Theory of computational aesthetics
  • Representational issues in creativity, including visual and perceptual representations
  • Social aspects of computational creativity, and intellectual property issues
  • Creative autonomy and constraint
  • Computational appreciation of artefacts, including human artwork

Philosophy & AI (AIP)

With its origins in the Philosophy after AI symposium from previous AISB Conventions, this track sets out to investigate the philosophical and linguistic perspectives of the research paths which deal with language as it is conceived by AI. Contributions to a general philosophical discourse on AI are also welcome.
We invite talks on the following (but not exclusively) topics:

  • Linguistics and AI;
  • AI research on language;
  • Learning, creativity and AI;
  • Meaning and AI;
  • Creativity, machine-learning and language;
  • Robots and communication;
  • Truth, post-truth and AI;
  • Social media, devices and human sociality.

General Track (GT)

This track accommodates AI research that does not align with any of the other special tracks. Possible topics include:

  • Agents and multi-agent systems
  • Agent-based social simulation
  • Verification of AI systems
  • Combining learning and reasoning
  • Argumentation
  • AI & cyber security
  • Natural language processing
  • Knowledge representation

Submission

Submissions to any of the tracks are in the form of extended abstracts and are subject to peer review. Proceedings will then accommodate final papers as short or regular papers. These are limited to the following page restrictions.

  • Extended abstract (max. 2 pages)
  • Short paper (max. 4 pages)
  • Regular paper (max. 8 pages )

Web site and submission links will be available from mid-January 2023.

Important Dates

  • Submission: 6 March 2023
  • Notification of acceptance: 27 March 2023
  • Camera-ready paper: 3 April 2023

Program Committee

General Chair: Bertie Müller (Swansea University)

Track Chairs: TBA

  • Track AIG:
  • Track AIE:
  • Track CC:
  • Track AIP:
  • Track GT: