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#frAIday

All you want to know about Artificial Intelligence.

Welcome to a series of inspiring talks on artificial intelligence by Umea University researchers, as well as internationally acclaimed experts. Participating in #frAiday is your opportunity to share your experience and knowledge about artificial intelligence, learn more about the field, discuss a wide range of perspectives on AI, and meet new people.

Time: Fridays, 12:15 – 13:00
Place: Online via Zoom, and at some occasions, Hybrid via Zoom at Seminarierummet (A216) in the MIT-building. The event is open to everyone who is interested in AI.


Supported by

#frAIday is supported by The Council for Artificial Intelligence and Autonomous Systems at Umeå University, RAI, and by the European project HumaneAI-net.

 

#frAIday Talks

26 November, (Hybrid via Zoom)
Modelling the emergence of violent extremist small groups 

Mijke van den Hurk, PhD candidate Utrecht University, Utrecht, Netherlands; Dutch National Police, Dutch, Netherlands.

 

 

 

 

 

Abstract

 The organisation of violent extremist groups became much more emergent, with the formation of independent cells operating on their own. Investigative authorities need to have understanding of this phenomenon in order to intervene efficiently. We built a model in which the dynamic process of violent extremist small group development can be studied. It is based on the general process of group development, in which different group phases can be obtained. 

This seminar will take place in Seminarierummet, (A216) in the MIT building and via Zoom.

3 December
AI4Heritage: Sweden as Case Study

Anna Foka, the Director of the Centre for Digital Humanities at Uppsala University, and Associate Professor in Digital Humanities. Anna’s research outputs to-date focus on digital cultural heritage, heritage data and information science more generally, its classification, representation and supporting methods, tools, and supporting infrastructures



Abstract

This talk examines the challenges and opportunities that arise with the implementation of Artificial Intelligence methods and tools when implemented within Swedish heritage institutions. Previous research has shown that materiality, strategic planning, and social inclusion were key goals in cultural heritage management, and that technology does not remain neutral in the process of knowledge production. This preliminary study nuances the possibilities and challenges that arise for implementation within heritage institutions. The focus is on three Swedish heritage institutions, each of them representing a different organizational framework, while sharing a similar approach concerning artificial intelligence tools and methods. First, I discuss a state-of-the-art inquiry on heritage institutions and artificial intelligence methods and tools. I then proceed with a description of present case-studies. Via 1) semi-structured interviews with heritage professionals, 2) heritage institution website communication, and 3) internal digitization protocols and digitalization strategies, I provide a holistic analysis of both professional and organisational processes concerning the implementation of AI methods and tools. Ultimately, this study shows that AI implementation highlights both opportunities as well uneven power dynamics between professional perspectives, institutional goals and technological innovation.

10 December, (Hybrid via Zoom)
Intelligent Sustainability: Teasing-out anthropogenic impacts on forests

Francisco X Aguilar, Professor at the Swedish University of Agricultural Sciences (SLU) Department of Forest Economics and a recipient of Resources for the Future’s Gilbert White and Joseph Fisher Fellowships. He is an Associate Editor with Environment, Development and Sustainability, and the Public Library of Sciences; and has served in multiple leadership roles including as Leader of the United Nations’ Economic Commission for Europe - Team of Specialists on Wood Energy. 

Abstract

Evermore abundant data on natural resources will be instrumental to support sustainable management. It is imperative to use the best available data, and the most accurate analytical methods, to discern the impacts of anthropogenic interventions on natural resources such as forests.  From strict conservation to active management, forests change in complex environments affected by natural and anthropogenic factors.

Here, I discuss the use of data generated from thousands of field-level forest inventories to gauge whether a new bioenergy industry procuring wood fibers is affecting carbon stocks in the context of the US southeastern region. I use this analysis to emphasize that more and better data alone are not sufficient to assess sustainability, but correct analytical models are fundamental to properly evaluate impacts and some inevitable trade-offs between management and conservation.  AI will be a necessary tool in guiding sustainable forest management and reducing potential biases introduced by researchers, experts, and communicators.

This seminar will take place in Seminarierummet, (A216) in the MIT building and via Zoom. Please express your interest in joining the seminar by e-mail, on Wednesday the same week, at the latest. 

12 December, (Hybrid via Zoom)
RAIN responsible AI framework

Mattias Brännström, Research Engineer, Computing Science Department, Umeå University.

 

 

 

 

 

Abstract

Many policies, standards and regulations on Artificial Intelligence (AI) have been presented or are in the pipes. A common problem in these is that they are often too abstract, too specific, or both at the same time to apply to real-world projects. The issues and risks related to the various technologies under the AI umbrella are highly context dependent and it is difficult to find any particular abstraction level on which to approach them. In this talk, I describe a context-aware structure which in a manner similar to Value Sensitive Design bridges the gap between high-level values and actionable requirements and explicit design elements but also provides means of assessing compliance to those requirements. I describe how this approach can take a positive role in the AI developer-procurer-regulator ecosystem and some directions for further research and development. A demo of an implementation of the above, RAIN, developed by the Responsible AI group at Umeå University is also presented.

This seminar will take place in Seminarierummet, (A216) in the MIT building and via Zoom. Please express your interest in joining the seminar by e-mail, on Wednesday the same week, at the latest. 

 

frAIday register form

To participate in the seminar #frAIday, please register. Please note that you don't have to register for each event.

The University is a public authority. Messages that you submit here are stored in accordance with Swedish law. Read more at umu.se/en/gdpr about how we process personal data.

For more information, please contact

Tatyana Sarayeva
Coordinator of the WASP-HS program and Responsible AI research group.
E-mail: tatyana.sarayeva@umu.se

Christian Kammler 
Doctoral student, Department of Computing Science 
E-mail: christian.kammler@umu.se

Earlier presentations

Below are previous lectures, some of which are possible to watch via umuplay. If you wish to receive the presentation as a pdf, please contact the Communication Officers Victoria Skeidsvoll and Petra Wester.

Fall 2021

"The Role of an AI Designer: design choices and their epistemic and moral limitations"
Jonne Maas, PhD candidate at TU Delft involved with the HumanE AI project. See the presentation here

"Traditional Machine Learning Music"
Bob L. T. Sturm is an Associate Professor of Computer Science at the KTH Royal Institute of Technology, Stockholm, Sweden. See the presentation here

"Explainable AI (XAI): Who is it intended for?"
Kary Främling, Professor in data science, with an emphasis in data analysis and machine learning and Head of explainable AI (XAI) team at The Department of Computing Science, Umeå University.
See the presentation here 

"Creating a culture of Responsible AI"
Linda Leopold, Head of Responsible AI & Data at H&M Group.

"AI for Everyone?"
Dr Pieter Verdegem, Senior Lecturer at Westminister School of Media and Communication.
See the presentation here

"Is there an AI Cold War?"
Joanna Bryson, Professor of Ethics and Technology at the Hertie School, Berlin, Germany. 
See the presentation here

"Rule-based semantic modelling"
Anna Jonnson, Senior research engineer at Department of Computing Science at Umeå University.
See the presentation here

"Towards a feminist, relational, conception of Artificial Intelligence"
Virginia Dignum, professor in social and ethical AI, and Wallenberg chair on Responsible Artificial Intelligence. Scientific Director of WASP-HS (Humanities and Society). 

"AI, Opacity, and Personal Autonomy"
Bram Vaassen, Postdoctoral fellow in philosophy at the Department of Historical, Philosophical and Religious Studies at Umeå University. See the presentation here

"The Civil Society Campaign to Ban Biometric Surveillance"
Daniel Leufer, Europe Policy Analyst at Access Now, a global human rights organisation.
See the presentation here

"Beyond AI Solutionism - Towards a Multi-Disciplinary Approach to Artificial Intelligence in Society"
Simon Lindgren, Professor in Sociology at Umeå University and the director of DIGSUM. 
See the presentation here

 

Spring 2021

"Empirical Model Learning"
Michaela Milano, Professor, Department of Computer Science and Engineering, University of Bologna. 
See the presentation here

"Tourism in the virtual lab: Opportunities for AI and tourism collaborations"
Jillian Student, Postdoctoral researcher, Environmental Policy Group, Wageningen University and Research Managing Editor, Journal of Integrative Environmental Sciences.

"Building competent social interactive AI"
Rui Prada, Associate Professor at the Computer Science Department of Instituto Superior Técnico, University of Lisbon. 

"AI-Enhanced Knowledge Harvesting"
Lili Jiang, Associate Professor at Department of Computing Science, Umeå University. 
See the presentation here

"In Search of Explainable AI: The Case for a Differentiated Approach under European Union Law"
Martin Ebers, Associate Professor of IT Law at the University of Tartu, Estonia and permanent research fellow at the Humboldt University of Berlin. Co-founder and president Robotics & AI Law Society (RAILS), Germany. 

"The AI behind the Advertising"
Johanna Björklund,Associate professor, Department if Computing Science, Umeå University. 
See the presentation here

"Reactive Planning - A bio-Inspired AI approach to robot action selection"
Rob Wortham, Lecturer in Robotics & Autonomous Systems, Director of Studies, MSc Robotics & Autonomous Systems, Dept of Electronic & Electrical Engineering, University of Bath, UK. 
See the presentation here

"Reasoning - from Humans to Machines" 
Thimoteus Kampic, doctoral student at Department of Computing Science, Umeå University. 
See the presentation here

"Extended and Autonomous Agency"
Kalle Grill, Associate Professor in Philosophy at Department of Historical, Philosophical and Religious Studies.

"Altered Relationships with Autonomous Systems"
Kristina Höök, Professor in Interaction Design at Royal Institute of Technology (KTH).

"Algorithmic Recommendation as Artificial Intelligence: YouTube and Meme Culture"
Gavin Feller, postdoktor at Humlab, Umeå university. See the presentation here

"A Bayesian approach to learning norms from observation in multi-agent systems"
Stephen Cranefield, Professor at Department of Information Science, University of Otago, New Zealand. See the presentation here

"COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model"
Patrick Mellacher, PhD student of economics, the University of Graz, Austria. See the presentation here

"A boxology of design patterns for systems that learn and reason"
Frank van Harmelen, Professor in Knowledge Representation and Reasoning in the Computer Science department (Faculty of Science) at the Vrije Universiteit Amsterdam. See the presentation here

"People are not Binary – Embracing Complexity in Algorithmic Bias Research" 
Hannah Devinney, doctoral student at Department of Computing Science and Umeå Centre for Gender Studies (UCGS). 

"Making Data understandable: From Data Visualization to Cognitive Big Data"
Artur Lugmayr, Associate Proffessor at Umeå University.

"AI and I – User involvement during design"
Karin Danielsson, Associate Professor at Department of Informatics, Umeå university. 

"Putting Norms in Context"
René Mellema, doctoral student at Department of Computing Science. 

"Agent models in Unity – Reaching Outside Academia"
Cezara Pastrav, Research Engineer at the Department of Computing Science, Umeå university.

"Standardising and Auditing AI"
Andreas Theodorou, Postdoctoral fellow at Department of Computing Science, Umeå university. 

"Applying Cognitive-Affective Models to the Design of Ethical Assistant Agents" 
Catriona M Kennedy, Honorary Research Fellow at University of Birmingham. Please 

"Contesting algorithmic decision-making"
Andrea Aler Tubella, Senior Researcher at Department of Computing Science, Umeå university. 

 

2020

"Decision Making in Context" 
Frank Dignum, Professor at the Department of Computing Science, Umeå university. 

"Toward Human-Centric Trustworthy Systems"
Juan Carlos Nieves, Associate Professor at the Department of Computing Science, Umeå university. 

"Prototyping for Social Simulation"
Maarten Jensen, Doctoral student, Department of Computing Science at Umeå university. 

"Implementing AI in a corporation – the good, the bad and the odd"
Salla Franzen, Chief Data Scientist, SEB. 

"Research Directions on Data Privacy" 
Vicenc Torra, Professor at Department of Computing Science, Umeå University. 

"XAI: A New Model and Its Implications for Medical Ethics"
Erik Campano, Doctoral student, Department of Informatics, Umeå University. 

"Lies, deceptions and computation"
Hans van Ditmarsch, Senior Researcher at CNRS, the French National Research Organization. 

"From Plato to Yoda, training responsible AI designers for on-the-field action" 
LoÏs Vanhée, Associate Professor, Computing Science, Umeå University.

"3o years in search for Human-Centric AI and this is what I found"
Helena Lindgren, Professor, Department of Computing Science, Umeå University.