Series

SACHI Seminar, Mark Zarb – Bridging Minds and Machines: Redefining Computing Education

We are pleased to share our upcoming SACHI seminar by Dr Mark Zarb, an Associate Professor based within the School of Computing, Engineering and Technology at RGU:

📅 26th March | 🕛 13:00 – 14:00 PM | 📍 JCB, Room 1.33A

Title:

Bridging Minds and Machines: Redefining Computing Education

Abstract:

Since 2009, Dr Zarb has been exploring the evolving landscape of pedagogical research, collecting ideas from across disciplines and trends. In this acronym-filled talk, he offers a guided tour through some of the latest research at RGU — from grappling with the ethical dilemmas posed by conversational AI in education, to exploring “shadow podcasts” as informal learning tools. We will look at practical challenges, unexpected questions and at how rapidly shifting technology continues to shape how (and why) we teach and learn.

Bio

Dr Mark Zarb is an Associate Professor based within the School of Computing, Engineering and Technology at RGU

His main research focus is within computing education, having led international working groups on transitions into higher education in 2018 and post-pandemic educational landscapes in 2021 and 2022.

He received his PhD (2014, University of Dundee) for work exploring the role of verbal communication styles in pair programming. His various roles and experiences allow him a wide and international perspective on computing education.

Distinguished Lecture Series: Data Mining and the “Curse of Dimensionality”

Tuesday 1st April

Booth Lecture Theatre, School of Medicine

Schedule:

  • Talk 1: 10:00 – 11:30
  • Lunch: 12:00 – 13:00
  • Talk 2 : 13:00 – 14:30
  • Coffee break: 14:30 – 15:00
  • Talk 3: 15:00 – 16:30

We look forward to welcoming Professor Arthur Zimek, University of Southern Denmark in Odense, Denmark, who will talk about Data Mining and the “Curse of Dimensionality”.

https://en.wikipedia.org/wiki/Arthur_Zimek

Abstract:
While the “curse of dimensionality” is a famous (or rather infamous) phenomenon, it has many different aspects that are not always clearly distinguished, and the impact and relevance of these aspects for some specific task remains often unclear. In this lecture series we consider the challenges of the “curse” from the perspective of data mining. In the first part, we discuss the “curse” in more detail, identifying relevant aspects or problems. In the second part, we consider clustering facing these problems and discuss some strategies and example methods for subspace clustering. In the third and last part, we discuss outlier detection, considering strategies for improved efficiency, effectiveness, and subspace outlier detection.

SACHI Seminar with Aluna Everitt – Democratising the Design and Development of Emerging Technologies

We are pleased to share our upcoming SACHI research seminar by Dr Aluna Everitt, a lecturer in the Department of Computer Science and Software Engineering at the University of Canterbury, New Zealand:

📅 Today | 🕛 12:00 – 1:00 PM | 📍 JCB, Room 1.33B

Title:

Democratising the Design and Development of Emerging Technologies

Abstract:

My research focuses on democratising the development of emerging technologies. More specifically, by establishing accessible approaches for designing and building emerging technologies such as robotics, wearables, and shape-changing interfaces. To advance the field, my research focuses not only on understanding these technologies (e.g., their design), but also how to build them (e.g., engineer them), and how to innovate with them (e.g., application). In this talk, I will go into detail about some of the projects I have worked on around this topic across the fields of HCI, Design, and Engineering.

Bio:

Dr. Aluna Everitt is a lecturer in the Department of Computer Science and Software Engineering at the University of Canterbury, New Zealand. Prior to moving to Christchurch (NZ), she was a Research Associate in the Cyber-Physical Systems group at the University of Oxford and a Junior Research Fellow at Kellogg College, University of Oxford. She was also a Senior Visiting Researcher and postdoc at the University of Bristol (BIG Lab). Dr. Everitt was awarded her PhD in Computer Science from Lancaster University, specializing in Human-Computer Interaction (HCI). As a multi-disciplinary researcher, her areas of interest and expertise lie across the fields of HCI, Design, and Engineering. She has a particular interest in conducting both quantitative and qualitative research which combines a mix of engineering fabrication approaches for iterative prototyping, together with collaborative design (co-design) to encourage users and experts from different domains to develop content and applications for the next generation of interactive hardware systems and interfaces (e.g., shape-changing displays, wearables, and robotics).

AI Seminar Wednesday 27th November – Lars Kotthoff

We have another exciting AI seminar coming up on Wednesday 27th November at 1pm.

This time our speaker is an alumnus!

When? 27/11/24, 1pm

Where? JCB 1.33B

Who? Lars Kotthoff

Lars Kotthoff is the Templeton Associate Professor of Computer Science, Founding Adjunct Faculty at the School of Computing, and a Presidential Faculty Fellow at the University of Wyoming. His research in foundational AI and Machine Learning as well as applications of AI in other areas (in particular Materials Science) has been widely published and recognized. Lars is a senior member of the Association for the Advancement of AI and the Association of Computing Machinery.

What?

Title: AI for Materials Science: Tuning Laser-Induced Graphene Production

Abstract: AI and machine learning have advanced the state of the art in many application domains. We present an application to materials science; in particular, we use surrogate models with Bayesian optimization for automated parameter tuning to optimize the fabrication of laser-induced graphene. This process allows to create thin conductive lines in thin layers of insulating material, enabling the development of next-generation nano-circuits. This is of interest for example for in-space manufacturing. We are able to achieve improvements of up to a factor of two compared to existing approaches in the literature and to what human experts are able to achieve, in a reproducible manner. Our implementation is based on the open-source mlr and mlrMBO frameworks and generalizes to other applications.

AI Seminar Tuesday 19th November – Francesco Leofante

The School is hosting an AI seminar on Tuesday 19th November at 11am in JCB1.33A/B

Our speaker is Francesco Leofante from Imperial College London.

Title:

Robustness issues in algorithmic recourse.

Abstract:

Counterfactual explanations (CEs) are advocated as being ideally suited to providing algorithmic recourse for subjects affected by the predictions of machine learning models. While CEs can be beneficial to affected individuals, recent work has exposed severe issues related to the robustness of state-of-the-art methods for obtaining CEs. Since a lack of robustness may compromise the validity of CEs, techniques to mitigate this risk are in order. In this talk we will begin by introducing the problem of (lack of) robustness, discuss its implications and present some recent solutions we developed to compute CEs with robustness guarantees.

Bio:

Francesco is an Imperial College Research Fellow affiliated with the Centre for Explainable Artificial Intelligence at Imperial College London. His research focuses on safe and explainable AI, with special emphasis on counterfactual explanations and their robustness. Since 2022, he leads the project “ConTrust: Robust Contrastive Explanations for Deep Neural Networks”, a four-year effort devoted to the formal study of robustness issues arising in XAI. More details about Francesco and his research can be found at https://fraleo.github.io/.

AI Seminar Friday 18th October – Leonardo Bezerra

The School is hosting an AI seminar on Friday 18th October at 11.30am in JCB1.33A!

Our speaker is Leonardo Bezerra from the University of Stirling.

FAIRTECH by design: assessing and addressing the social impacts of artificial intelligence systems

In a decade, social media and big data have transformed society and enabled groundbreaking artificial intelligence (AI) technologies like deep learning and generative AI. Applications like ChatGPT have impacted the world and outpaced regulatory agencies, who were rushed from a data-centred to an AI-centred concern. Recent developments from both the United Kingdom (UK) and the United States (US) originated in the executive branch, and the most advanced Western binding legislation is the European Union (EU) AI Act, expected to be implemented over the next three years. In the meantime, the United Nations (UN) have proposed an AI advisory body similar to the International Panel on Climate Change (IPCC), and countries from the Global South like Brazil are following Western proposals. In turn, AI companies have been proactive in the regulation debate, aiming at a scenario of improved accountability and reduced liability. In this talk, we will briefly overview efforts and challenges regarding AI regulation and how major AI players are addressing it. The goal of the talk is to stir future project collaborations from a multidisciplinary perspective, to promote a culture where the development and adoption of AI systems is fair, accountable, inclusive, responsible, transparent, ethical, carbon-efficient, and human-centred (FAIRTECH) by design.

Speaker bio: Leonardo Bezerra joined the University of Stirling as a Lecturer in Artificial Intelligence (AI)/Data Science in 2023, after having been a Lecturer in Brazil for the past 7 years. He received his Ph.D. degree from Université Libre de Bruxelles (Belgium) in 2016, having defended a thesis on the automated design of multi-objective evolutionary algorithms. His research experience spans from applied data science projects with public and private institutions to supervising theses on automated and deep machine learning. Recently, his research has concentrated on the social impact of AI applications, integrating the Participatory Harm Auditing Workbenches and Methodologies project funded by Responsible AI UK.

Seminar: Tangible User Interfaces 13th March 2024

We have 2 presentations next week focusing on Tangible interfaces by Laura Pruszko and Anna Carter.

Talk 1: Designing for Modularity – a modular approach to physical user interfaces

Abstract:

Designing for Modularity – a modular approach to physical user interfaces by Laura Pruszko
Physical user interfaces, future or history? While some of our old physical UIs get progressively replaced by their graphical counterparts, humans still rely on physicality for eye-free interaction. Shape-changing user interfaces — i.e. physical devices able to change their shape to accommodate the user, the task, or the environment – are often presented as a way to bridge the gap between the physicality of physical user interfaces and the flexibility of graphical user interfaces, but they come with their fair share of challenges. In this presentation, we will talk about these challenges under the specific scope of modular shape-changing interfaces: how do we design for modularity? What is the impact on the user? As these kinds of interfaces are not commonplace in our everyday lives, they introduce novel usability considerations for the HCI community to explore.

Bio:

Laura Pruszko is a lecturer in the Applied Computer Games department of Glasgow Caledonian University. Her research focuses on interaction with physical user interfaces and modular systems. She obtained her PhD from Grenoble Alpes University in 2023, as part of the multidisciplinary Programmable Matter consortium. This consortium brings together people from different horizons such as artists, entrepreneurs, HCI and robotics researchers, to collaborate towards enabling the long-term vision of Claytronics.

Talk 2: Sense of Place, Cultural Heritage and Civic Engagement

Abstract:

In this presentation, I will provide an overview of my recent work, where I implemented a range of interactive probes, exploring sense of place and cultural heritage within a regenerating city centre. Through these digital multimodal interactions, citizens actively participated in the sharing of cultural heritage, fostering a sense of belonging and nostalgia. Looking ahead, I’ll discuss how these insights inform my ongoing work at the intersection of the Digital Civics project and the Centre for Digital Citizens project. This presentation will not only offer my personal insights but also open the floor for collaborative discussions on integrating these crucial aspects into future embedded research.

Bio:

Anna Carter is a Research Fellow at Northumbria University she has extensive experience in designing technologies for local council regeneration programs, her work focuses on creating accessible digital experiences in a variety of contexts using human-centred methods and participatory design. She works on building Digital Civics research capacities of early career researchers as part of the EU funded DCitizens Programme and on digital civics, outdoor spaces and sense of place as part of the EPSRC funded Centre for Digital Citizens.

Event details:

  • When: 13th March 2024 12:00 – 14:00. There’ll be cakes and soft drinks from 12 onwards. The talks will be from 12:30 – 13:30
  • Where: Jack Cole 1.33 (Soft drinks and cake provided by F&D)

SACHI Seminar: Rights-driven Development

Abstract:

Alex will discuss a critique of modern software engineering and outline how it systematically produces systems that have negative social consequences. To help counter this trend, he offers the notion of rights-driven development, which puts the concept of a right at the heart of software engineering practices. Alex’s first step to develop rights-driven practices is to introduce a language for rights in software engineering. He provides an overview of the elements such a language must contain and outlines some ideas for developing a domain-specific language that can be integrated with modern software engineering approaches. 

Bio:

Alex Voss, who’s an Honorary Lecturer here at the school and an external member of our group. Alex was also a Technology Fellow at the Carr Center for Human Rights Policy at Harvard’s John F. Kennedy School of Government and an Associate in the Department of Philosophy at Harvard.

Alex holds a PhD in Informatics and works at the intersection of the social sciences and computer science. His current research aims to develop new representations, practices and tools for rights-respecting software engineering. He is also working on the role that theories of causation have in making sense of complex socio-technical systems.

His research interests include: causality in computing, specifically in big data and machine learning applications; human-centric co-realization of technologies; responsible innovation; computing and society; computer-based and computer-aided research methods.

More about Alex: https://research-portal.st-andrews.ac.uk/en/persons/alexander-voss

Event details:

  • When: 28th February 2024 12:30 – 13:30
  • Where: Jack Cole 1.19

If you’re interested in attending any of the seminars in room 1.19, please email the SACHI seminar coordinator: aaa8@st-andrews.ac.uk so they can make appropriate arrangements for the seminar based on the number of attendees.

Distinguished Lecture Series: The Atomic Human: Understanding Ourselves in the Age of AI

  • Tuesday 12 March
  • Booth Lecture Theatre, Medical Sciences Building.

We look forward to welcoming Prof Neil Lawrence, Cambridge who will talk about ‘The Atomic Human: Understanding Ourselves in the Age of AI’.

A vital perspective is missing from the discussions we are having about Artificial Intelligence: what does it mean for our identity?

Our fascination with AI stems from the perceived uniqueness of human intelligence. We believe it is what differentiates us. Fears of AI not only concern how it invades our digital lives but also the implied threat of an intelligence that displaces us from our position at the centre of the world.

Atomism, proposed by Democritus, suggested it was impossible to continue dividing matter down into ever smaller components: eventually, we reach a point where a cut cannot be made (the Greek for uncuttable is ‘atom’). In the same way, by slicing away at the facets of human intelligence that can be replaced by machines, AI uncovers what is left: an indivisible core that is the essence of humanity.

By contrasting our own (evolved, locked-in, embodied) intelligence with the capabilities of machine intelligence through history, The
Atomic Human reveals the technical origins, capabilities, and limitations of AI systems, and how they should be wielded. Not just
by the experts, but by ordinary people. Either AI is a tool for us, or we become a tool of AI. Understanding this will enable us to choose
the future we want.

This talk is based on Neil’s forthcoming book to be published with Allen Lane in June 2024. Machine learning solutions, in particular
those based on deep learning methods, form an underpinning of the the current revolution in “artificial intelligence” that has dominated
popular press headlines and is having a significant influence on the wider tech agenda.

In this talk, I will give an overview of where we are now with machine learning solutions, and what challenges we face both in the
near and far future. These include practical application of existing algorithms in the face of the need to explain decision-making,
mechanisms for improving the quality and availability of data, dealing with large unstructured datasets.