AI in Education Standard Discussion Workshop
Date: 13th February 2025 (Thursday)
Time: 13:30 - 16:00
Venue: B100/R5013, University of Southampton, SO171BJ
Registration: https://forms.office.com/e/ZqH7kXCwPx (Deadline 9th February EoB)
CMI is delighted to invite you to participate in our upcoming discussion on AI in Education Standard. This event aims to explore your perspectives on the critical factors to consider in AI applications within the education sector.
In collaboration with the Generative AI Working Group at the University of Southampton, CMI is hosting this standard-scoping workshop to bring together stakeholders from various domains to discuss their needs and concerns regarding AI in education.
The workshop will feature talks from experts representing academia, industry, and policymaking, followed by interactive group discussions. A detailed programme will be available on the CMI events webpage: CMI Event Website.
Lunch and refreshments will be provided, so please ensure you register and indicate any dietary preferences using the link above.
We understand that you may only be able to attend part of the workshop, and that’s absolutely fine. If possible, kindly indicate your availability in the registration form.
We look forward to your participation in shaping the future of AI in education.
PAS Overview - Fast Tracked Standard
Gail Edmans - The British Standards Institute (BSI)
This talk will include an introduction to the British Standards Institution (BSI), an overview about standards, and a description on the BSI fast tracked standard development.
Gail Edmans is a seasoned Business Development Manager in the Knowledge Services division at BSI, the UK’s national standards body. Since joining BSI three years ago, she has been instrumental in working with a diverse range of organizations—spanning industries, government bodies, and academic institutions—to shape and define projects that drive innovation and excellence through standards. Her work encompasses various aspects of standards development, including in-depth research, advisory services, and project scoping.
The ChatGLM's Road to AGI
Jie Tang - Tsinghua University & University of Southampton
Large language models have substantially advanced the state of the art in various AI tasks, such as natural language understanding and text generation, and image processing, multimodal modeling. In this talk, we will first introduce the development of AI in the past decades, in particular from the angle of China. We will also talk about the opportunities, challenges, and risks of AGI in the future. In the second part of the talk, we will use ChatGLM, an alternative but open-sourced model to ChatGPT, as an example to explain our understandings and insights derived during the implementation of the model.
Jie Tang is Professor at University of Southampton and Professor of Computer Science at Tsinghua University. He is a Fellow of the ACM, a Fellow of AAAI, and a Fellow of IEEE. His interest is artificial general intelligence (AGI). His research received the SIGKDD Test-of-Time Award (10-year Best Paper). He also received the SIGKDD Service Award.
Rethinking Integrity in an AI World: Musings from an Academic Integrity Officer
Richard Gomer - University of Southampton
Access to AI tools that can perform well in traditional assessments is a huge challenge for Universities that need to create reliable assessments of their students' skills. However, it also requires a rethink about the value that degrees can add and the role of our graduates in the wider world. In this talk, I will report on some of the investigations we've been doing in the Faculty of Engineering and Physical Sciences, and reflect on some challenges and possible directions for educators.
Dr Richard Gomer is a lecturer in Computer Science at the University of Southampton, and Faculty Academic Conduct Officer for the Faculty of Engineering and Physical Sciences.
Empowering educators in inclusive pedagogy: leveraging generative artificial intelligence to implement Universal Design for Learning (UDL) in Higher Education
Tamsyn Smith - University of Southampton
Tamsyn began her career in education as an adult basic skills tutor before teaching English and Media Studies in local schools and colleges for nearly a decade. Her interest in the potential of Technology Enhanced Learning grew as she worked as a Learning Technologist in Higher Education, and she joined the University of Southampton in October 2012. Tamsyn is currently reading for a PhD in E-Research and Technology Enhanced Learning and is a Microsoft Innovative Educator. She is an Associate Fellow of AdvanceHE (AFHEA) and a holder of Senior Certified Membership of the Association for Learning Technology (SCMALT)..
Centre for Machine Intelligence Annual Showcase
Thursday 7th November 2024
3pm to 8:05pm
Highfield Campus
B40/Garden Court
Download Directions
Leve your feedback here!
You are warmly invited to our ECS Centre for Machine Intelligence (CMI) is organising a Showcase on 7th November 2024 at the Garden Court, Highfield Campus. The CMI Annual Showcase will bring together the great minds in AI from across academia, industry, and government. This event is an opportunity to:
• Discover cutting-edge AI research, projects, and initiatives. We are excited to have Prof Dame Wendy Hall deliver a keynote talk, along with representatives from AI@FEPS, RAI UK/TAS Hub, SUST.AI, MINDS CDT, AugmentAero, Silicon Phonics for AI, Quantum Technology Engineering, GloSAT, DRAfrica, and more.
• Connect academics, practitioners, and students to discuss collaborations, explore project opportunities, and build bridges for future funding. This is a great chance to network and form impactful partnerships.
• Learn more about pursuing a PhD in AI—we’re inviting 2nd and 3rd year undergraduates, as well as Master’s students, to engage with our research and discover new career paths.
Programme Overview :
• 15:00 – 15:30 : Registration and Refreshments
• 15:30 – 15:35: Welcome and Introduction --- Dr Haiming Liu
• 15:35 – 17:00: AI Project Talks (Chair Dr. Luis-Daniel Ibáñez)
Silicon photonics for Neuromorphic systems --- Professor Frederic Gardes -- Slides
The NOEMIA project and the CDT in Quantum Technology Engineering --- Dr Yoshi Tsuchiya -- slides
The UKRI AI Centre for Doctoral Training in AI for Sustainability (Sust.AI) --- Prof Enrico Gerding -- slides
Responsible AI (RAI) UK --- Dr. Jennifer Williams
AI for Data Rescue ( GloSAT and DRAfrica projects) --- Dr Stuart Middleton -- Slides
AugmentAero Project --- Mr Sam Lowen
UKRI CDT in Machine Intelligence for Nano- Electronic Devices and Systems ( MINDS ) CDT --- Prof Tim Norman
Future Worlds --- Dr Alice Iles -- Slides
• 17:00 – 17:45: Keynote by Prof Dame Wendy Hall + Q&A Slides
• 17:45 – 18:30: Collaboration Services at Southampton (Chair: Dr. Ibrahim Sari)
AI @ FEPS --- Prof Tim Norman
AI @ Southampton --- Prof. Les Carr
Business & Industry Partnerships --- Rosemary Nunn/Hannah Illsley --- Slides
Knowledge Transfer Partnership (KTP) --- Justin Lewis -- Slides
PhD funding opportunities --- Dr Nema Abdelazim --- Slides
18:30 – 20:00: AI Project Poster/Exhibition Session with Buffet Dinner
20:00 – 20:05: Closing Remarks
Here is how you can contribute to the event:
You can register to attend the showcase here: https://forms.office.com/e/e2Y97qrUwq
You can register to exhibit your research/project here: https://forms.office.com/e/WQ0kWyLDf8 [Note: you can reuse the posters and demos that you may have presented at conferences and other venues. ]
Biography of Keynoter
Wendy Hall, DBE, FRS, FREng is Regius Professor of Computer Science, Associate Vice President (International Engagement) and Director of the Web Science Institute at the University of Southampton. She was Dean of the Faculty of Physical Science and Engineering from 2010 to 2014 and Head of the School of Electronics and Computer Science (ECS) from 2002 to 2007.
One of the first computer scientists to undertake serious research in multimedia and hypermedia, she has been at its forefront ever since. The influence of her work has been significant in many areas including digital libraries, the development of the Internet, and the emerging research discipline of Web Science. Her current research includes exploring interfaces between the social and physical sciences through the development of Web Science and the study of online systems through a sociotechnical lens. She is Managing Director of the Web Science Trust.
She became a Dame Commander of the British Empire in the 2009 UK New Year's Honours list and was elected a Fellow of the Royal Society in the same year. She was elected President of the Association for Computing Machinery (ACM) in July 2008, and was the first person from outside North America to hold this position. She is a Fellow of the Royal Academy of Engineering, the Institution of Engineering and Technology and the ACM. She is a distinguished fellow of the British Computer Society.
She was Senior Vice President of the Royal Academy of Engineering (2005-8), a member of the UK Prime Minister's Council for Science and Technology (2004-10), and a founder member of the Scientific Council of the European Research Council (2005-10). She was President of the British Computer Society (2003-4), an EPSRC Senior Research Fellow (1996-2002) and a member of the EPSRC Council (1997-2002).
In 2017, Dame Wendy was co-Chair of the UK government’s AI Review, which was published in October 2017. She became a member of the AI Council and was appointed the first UK AI Skills Champion in 2018. She was Chair of the Ada Lovelace Institute (2020-2023). She is currently the co-Chair of the ACM Publications Board and Editor-in-Chief of Royal Society Open Science. She is an advisor to the UK government and many other governments and companies around the world and in 2023 was appointed to the United Nations high-level advisory body on artificial intelligence. Her latest book, Four Internets, co-written with Kieron O’Hara and published by OUP in 2021, is about data, geopolitics and the governance of cyberspace.
Through her leadership roles on national and international bodies, she has shattered many glass ceilings, readily deploying her position on numerous national and international bodies to promote the role of women in SET and acting as an important role model for others.
CMI Networking Event
Monday 10th July 2023
5pm
Highfield Campus
Building 2A (The Annex)
Registration HERE.
We would like to invite you to the Centre For Machine Intelligence (CMI) Networking event, which will take place at Highfield Campus of the University of Southampton, Building 2a Arts Annexe at 17:00- 20:00 on 10th July 2023 (Monday),
This is a good opportunity to meet and connect with academics and practitioners, or just have a social chat. We are privileged to have two speakers to share their insight in Search and AI.
Agenda
17:00 - 17:15 : Registration & Refreshment
17:15 -17:30 : Welcome & Introduction to CMI and the Board
17:30 -18:00 : Talk by Martin White, "Will AI solve the problems of consistently poor enterprise search satisfaction?"
18:00 - 18:30 : Talk by Tony Russell-Rose, " Searching fast and slow"
18:30 - 20:00 : Social reception
To secure a place, please register at HERE.
Martin White https://searchresearch.online/
Visiting Professor, Information School, University of Sheffield
Martin graduated from Southampton University with a degree in chemistry in 1970, but inspired by a staff member of the Library immediately embarked on a career as an information scientist. He began using computer-based search services in the late 1970s. From 1999 to 2022 he provided consulting services in information management primarily to multi-national multi-lingual companies, specialising in intranet and enterprise search implementation. He has been a Visiting Professor since 2002 and has served on the Advisory Committee of the Information School. He also lectures at City University, University of London. Martin is the author of ten books, four of them about enterprise search.
Tony Russell-Rose https://isquared.wordpress.com/about/
Reader, Goldsmith University
Tony joined Goldsmiths, University of London in September 2019 as Reader in Computer Science. He is also Director of UXLabs, a research and design consultancy specialising in complex search and information access applications, and founder of 2Dsearch, a platform applying AI, natural language processing and data visualisation to create the next generation of search experiences. He is vice-chair of the BCS Information Retrieval group and ex-chair of the CIEHF Human-Computer Interaction group. He also holds the position of Royal Academy of Engineering Visiting Professor of Cognitive Computing and AI at Essex University.
CMI Seminar: Online Demand Response Programs for Constrained Local Electricity Systems
Thursday 25th August 2022 - 2pm
Room: B32/3077
MS Teams link: To be sent to registered attendees 30min before start
Registration: Online Demand Response Programs for Constrained Local Electricity Systems Tickets, Thu 25 Aug 2022 at 14:00 | Eventbrite
Speaker:
Prof. Dr. Dirk Neumann
Head of the Institute of Economics and Business Administration
Chair of Information Systems Research
Albert-Ludwigs-Universität Freiburg
(https://www.is.uni-freiburg.de/mitarbeiter-en/team/dirk-neumann)
Abstract:
Renewable energies require new approaches to the operation of power systems. In this talk, I present a novel Demand Response (DR) program to mitigate grid congestion. The program stands out by adjusting electricity prices online and solely based on observed aggregate electricity consumption. It thereby avoids privacy concerns and expensive information system infrastructure investments. Additionally, it can cope with non-elastic and time-interdependent demand—which is typical for storage devices and industrial processes. ) model four flexible load types and provide a unified framework of load modeling under uncertainty and with time interdependencies.
Numerical experiments show that the DR program achieves considerable and stable cost savings of 40% to 60% in comparison to conventional DR programs. Moreover, the solution approach based on Deep Reinforcement Learning reaches these savings after a short learning period corresponding to only 25 simulation days.
Regarding load flexibility, I find that the responses of the four load types strongly differ depending on prices and the lag between the announcement and the application of price changes (`notification interval’) which is an important design parameter. The results imply that system operators should flexibilize their DR programs with the help of learning algorithms and tailor their program to the local load composition, congestion frequency, and forecasting quality.
Bio:
Dirk Neumann has held the Chair of Information Systems Research at the Albert Ludwigs University of Freiburg as a Full Professor since 2008. He studied economics in Gießen and Milwaukee and read his PhD at KIT. The research focus of his working group is, among other things, AI in management. During his stays abroad, he worked with researchers at the University of New South Wales (UNSW) in Sydney, Concordia University in Montreal and Stanford University in Palo Alto. In his field of research, he is one of the most published researchers in Germany. He has received appointments at Humboldt University Berlin and Johannes Kepler University Linz (Austria).
CMI Intelligent Remote Sensing "show and tell"
Blair Thornton - Engineering
Christine Gommenginger - NOC
Fraser Sturt - Archaeology
Isabel Sargent - Ordnance Survey
Paul Kemp - Engineering
https://teams.microsoft.com/registration/-XhTSvQpPk2-iWadA62p2A,ArQsjSxy...
28th April 2021 - CMI seminar (virtual): Machine Intelligence for COVID-19
The Centre for Machine Intelligence (CMI) at the University of Southampton invites you to a seminar on the topic of "Machine Intelligence for COVID-19". As the fight against the COVID-19 continues, a wide range of research efforts are taking place. We are hosting three talks about the latest academic research on how different aspects of machine intelligence are helping with this endeavour, followed by a live Q/A and panel session with the presenters.
14:00 - 14:05 - Welcome and introduction - Dr. Enrico Gerding (Director of CMI)
14:05 - 14:20 - The sounds of COVID-19: crowdsourcing and analysing respiratory signals for COVID-19 diagnostics - Prof. Cecilia Mascolo (University of Cambridge)
Abstract: In this talk I will describe the work we have been doing on crowdsourcing respiratory sounds (coughs, breathing and voice) through a mobile app (covid-19-sounds.org) and their analysis through audio based machine learning for COVID-19 diagnostics and disease progression. This work is part of a a bigger project which looks at how sounds of the human body (respiratory, cardiovascular, digestive) can be collected through wearables and mobile devices and analysed with the aim of improving automated and efficient medical diagnostics.
Bio: Cecilia Mascolo is the mother of a teenage daughter but also a Full Professor of Mobile Systems in the Department of Computer Science and Technology, University of Cambridge, UK. She is co-director of the Centre for Mobile, Wearable System and Augmented Intelligence and Deputy Head of Department for Research. She is also a Fellow of Jesus College Cambridge and the recipient of an ERC Advanced Research Grant. Prior joining Cambridge in 2008, she was a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in mobile systems and data for health, human mobility modelling, sensor systems and networking and mobile data analysis. She has published in a number of top tier conferences and journals in the area and her investigator experience spans projects funded by Research Councils and industry. She has received numerous best paper awards and in 2016 was listed in “10 Women in Networking /Communications You Should Know”. She has served as steering, organizing and programme committee member of mobile, sensor systems, networking, data science conferences and workshops. She has delivered a number of keynote talks at conferences and workshops in the area of mobility, data science, pervasive computing and systems.
14:20 - 14:35 - Emergency department admissions in COVID-19 and explainable machine learning to understand changes in clinical decision making - Dr. Chris Duckworth (IT Innovation Centre)
Abstract: The COVID-19 pandemic has created rapid and unprecedented changes in how services across the NHS are used. Emergency departments (EDs) have seen a 57% decrease (April 2020) in visits, with indications that patients in need of medical intervention have avoided coming to hospital for reasons unrelated to COVID, as COVID admissions have soared. This changing patient landscape has led to an overhaul in hospital operations and procedure. Decision support systems learn from historical ED operations, to enable early identification of patients who are at high risk of hospital admission, enabling ahead-of-time logistical planning. We test a machine learnt admission model's performance (trained pre COVID), pre COVID, and during the first wave, to understand how decision support systems are impacted by changing patient landscape and operational change. Using explainable machine learning, we understand how different hospital records (used as features) become more (or less) predictive of admission risk. We introduce the idea of using explainable admission models to track and understand changes in clinical decision making over time.
Bio: Chris is a Research Engineer (Healthcare) based in the IT Innovation Centre, as part of the School of Electronics and Computer Science. Since joining the centre in early 2021, his focus has been on the impact of COVID-19 on Emergency Department admissions and developing machine learning models for clinical decision making support. Chris' background in data science comes from a PhD (University of St Andrews) and employment at the Flatiron Institute (Simons Foundation) working in computational Astrophysics.
14:35 - 14:50 - Indirect disease mitigation using targeted interventions - Dr. Edoardo Manino (University of Manchester)
Abstract: The current COVID-19 pandemic is fought on two fronts: reducing the spread of the disease, and educating the population on the importance of vaccines and face masks. Both contribute to curbing the total number of cases, but how do these two factors interact? In this talk I present a mathematical model of coupled disease-awareness systems and propose strategies for optimal control. This is joint work with Dr Markus Brede (University of Southampton).
Bio: Edoardo Manino is a Research Associate in the Computer Science department of the University of Manchester. He is part of the EnnCore project and focuses on automated verification of neural network architectures. His background is in Bayesian machine learning, a topic he recently got awarded a PhD from the University of Southampton. His other research interests range from network science to algorithmic game theory and reinforcement learning.
14:50 - 15:30 - Panel discussion and Q/A - Chair: Dr. Kate Farrahi (University of Southampton)
Machine Intelligence Showcase 2019
Machine Intelligence experts will demonstrate the latest advances from revolutionary new technologies in a packed showcase event at the University of Southampton.
A distinguished panel of AI pioneers and government chiefs will discuss the research field’s expected impact on the UK economy and the necessary strategies to fulfil this potential at the all-day event, hosted by the University’s Centre for Machine Intelligence (CMI). The showcase takes place on Tuesday 22nd of October 2019.
Machine Intelligence, which includes the development of Artificial Intelligence (AI), Machine Learning and Autonomous Systems, is using science to build a safer and smarter society. Researchers from Southampton’s School of Electronics and Computer Science (ECS) are leaders in several pioneering live projects and outlined the latest progress before an audience of around 200 industry attendees, government representatives and academic peers in our last year's event.
24th June 2019 - Data Infrastructures for the AI Economy
With attendees ranging from researchers, local authorities, SMEs and large corporates the event brough together a line up of lightning talks and breakout sessions dealing with the cutting edge challenges and opportunities of AI and how we can work together. Breakout sessions included Data Bias and Inclusion in AI; Privacy, Law and AI; Data Provenance and Governance; and Data Sharing Platforms – technological, legal and ethical challenges.
In line with the UK’s Industrial Strategy, we’re keen to foster academic-industry partnerships with a socio-technical angle and will be providing seed-funding opportunities for building collaborative teams from the sparks of shared interest we hope to generate at the event. Attendees included the Office for AI, Southampton Connect, Hampshire County Council, Shell and a number of local SMEs.
13th May : Symposium on Interdisciplinary Machine Learning
Across many disciplines at the university of Southampton, there is interest in the applications of machine learning to scientific research. The symposium on interdisciplinary machine learning was a morning event designed to bring together researchers and facilitate a discussion about this growing field. Talks covered a range of topics from archeology to biology with a view to understanding the benefits provided by machine learning and their limitations. The event attracted over 200 sign-ups and talks were well received by the audience
Speaker list:
- Dr Jonathon Hare: Intorduction to the CMI and Machine Learning at Southampton
- Professor Adam Prügel-Bennett: What can Machine Learning do for you?
- Xin Du: Applications Based on Cascade Learning
- Iris Kramer: Machine Learning for Archeology
- Greg Parkes: Using Machine Learning in Medicine
- Dr Patrick Stumpf: Mapping Cell Idenitities from Mouse to Man
27th February 2019 CMI PhD Evening and intro to the MINDS CDT
The CMI PhD evening consisted of a series of talks detailing the PhD process, and specific areas of interest across the different core Machine Intelligence Research Groups within ECS. In particular, we introduced the new Centre for Doctoral Training on Machine Intelligence and Nano-Electronic Devices (MINDS CDT) and the opportunities to get involved with this exciting training programme.
26th October 2018 - Machine Intelligence Showcase
The Machine Intelligence Showcase was a great success. Head over to the event page to find out who was speaking and to watch the showcase video!
CMI evening on Machine Learning - 21/06/2018
When you read about AI in the news, you're more likely than not to actually be reading about a new advancement in Machine Learning. In the past 10 years, machine learning has started to find its way into everyday technology and revolutionise both products and industry. The CMI evening on machine learning attracted over 150 attendees including members of the public, students, and researchers. Talks from industry and academia were well received by the audience and led to very exciting discussions at the end.
Speakers included
- Dr Jonathon Hare, ECS - what machine learning can and can't do
- Professor Mahesan Niranjan, ECS - the reality of machine learning
- Professor Adam Prügel-Bennett, ECS - Title TBC
- Dr Honor Powrie, GE Aviation - GE Aviation Commercial Engines - ML Applications
- Dr Kate Farrahi, ECS - IoT and Health related applications of ML
- Dr Srinandan Dasmahapatra, ECS - Computational Biology
- Oliver Tearle - AI Corporation - Practical Card Fraud Detection
The panel session received many questions about the use of data from the NHS and other questions around the techniques used to manage large datasets.
The evening closed with a very successful networking session.
CMI Evening on Robots and their use in Warfare - 02/05/2018
We held an evening seminar on Robots and their use in Warfare on the 2nd of May. With over 130 signups, the event was a great success. World experts in the legal aspects of warfare, Prof. Christian Enemark and Dr. Regina Rauxloh gave an overview of the key legal, moral, and ethical considerations. Dr. Andrea Munafo from the National Oceanography Centre, along with Dr. Tarapore and Dr. Ramchurn from ECS, then provided an overview of the capabilities built into the next generation of autonomous systems, whether under-water, ground, or aerial. The evening concluded with a networking session that we hope will bring many more collaborations across the University via the CMI.
AI and Ethics Evening - 21/03/2018
CMI organised an evening of talks on Artificial Intelligence and the ethical and societal challenges associated with large scale use of such technology. The evening consisted of a number of talks by leading academics within the Centre for Machine Intelligence as well as guests from leading tech companies. Prof. Chris Reed from Dundee and Dr. Isabel Sargent from Ordnance Survey were guest speakers.
We had over 60 attendees from within the University, industry, and the general public. The panel led to a number of questions raised around the use of argumentation machines to discuss ethical questions, the use of AI in defence and how we can work with policy makers to develop regulation for autonomous systems.
CMI Phd Evening - 07/03/2018
The event was a great success with over 60 signups and a number of talks detailing topics in AI, Machine Learning, and Autonomous Systems as well as funding opportunities.
We run a seminar series within the department and also co-organise events with external partners. Please get touch if you are a member of the university and want to attend our seminar series. Our general events are listed below.
01/02/2018 - AI and Blockchain: Opportunities and Challenges
This first open event organised by the CMI attracted over 100 attendees from across ECS, the Faculty of Engineering and Physical Sciences, as well as industry and the general public. The event was sponsored by Oxford Innovation and was an exciting mix of both academic presentations and hands-on use-case discussions from industry.