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October 2018

Pekka Parviainen: Introduction to Bayesian networks – the backbone of probabilistic modelling

October 10, 2018 @ 2:15 pm - 3:30 pm
TekLab, Media City Bergen, Lars Hilles gate 30
Bergen, 5008 Norway
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Free

Abstract In this talk, Parviainen will give an overview of Bayesian networks: what are they, what can be done with them and where do they come from? They were invented in the 1980s, mainly as a result of research by Judea Pearl. Bayesian networks are probabilistic graphical models that represent relations between random variables. They enable efficient probabilistic inference and causal analysis and are found  “under the hood” in many probabilistic models. They have been significant in reasoning with uncertainty…

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Enrico Motta: Hybrid AI: Integrating large scale data analysis with semantic technologies

October 24, 2018 @ 2:15 pm - 3:30 pm
TekLab, Media City Bergen, Lars Hilles gate 30
Bergen, 5008 Norway
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Free

Abstract Over the past 10-15 years we have witnessed a paradigm shift in computer science, brought about by the availability of large scale amounts of data. As a result of this paradigm shift new opportunities have arisen, allowing us to study the dynamics of a variety of phenomena, such as social networks, people’s mobility, shopping behaviours, etc. To this purpose new machine learning and data mining solutions have been devised, which are able to effectively identify patterns in the data…

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November 2018

Dietmar Jannach: Session-based Recommendation: Challenges and Recent Advances

November 23, 2018 @ 10:15 am - 12:00 pm
Seminar room 1, UIB @ Media City Bergen, Lars Hilles gate 30
Bergen, Norge 5008 Norway
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Free

Abstract Recommender systems is an applied AI technique that we often meet when surfing the web. In many applications of such systems, a larger fraction of the user population are first-time users or are not logged in when they use the service. In these cases, the item suggestions by the recommender cannot be based on individual long-term preference profiles. Instead, the recommendations have to be determined based on the observed short-term behavior of the users. Due to the high practical…

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February 2019

Pablo Gervás Gómes-Navarro: Modelling How People Build Stories from Observed Facts

February 13, 2019 @ 2:15 pm - 3:30 pm
Meeting room 905, Faculty of Social Sciences, Lauritz Meltzers Building (take the elevator to the 9th floor, and then one flight of stairs to the top of the building), Fosswinckelsgate 6
Bergen, 5007
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Free

Notice: This particular AI Agora event will NOT be taking place at Media City Bergen. This time, the venue for the event is the Social Science Building, Fosswinckelsgt. 6. Please see details below. Abstract People communicate most often by telling stories based on their experience of reality. In this process, three fundamental ingredients need to be combined: the observed facts as perceived from reality, the knowledge of narrative structure that is shared between the teller and the listener, and the…

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May 2019

Marija Slavkovik: The Jiminy Advisor: Moral Agreements Among Stakeholders Based on Norms and Argumentation

May 8, 2019 @ 2:15 pm - 3:30 pm
Forskningslab, Seminar Room 20, Media City Bergen, Lars Hilles gate 30
Bergen, 5008 Norway
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Free

Abstract The talk introduces the problem of engineering machine ethics and ethical governors in general, and focuses on a recent contribution to this area: the problem of who decides what is right or wrong for a machine. An autonomous system is constructed by a manufacturer, operates in a society subject to norms and laws, and is  interacting with end-users. All of these actors are stakeholders affected by the behaviour of the autonomous system. We address the challenge of how the…

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June 2019

Ana Ozaki: Knowledge Graphs: Facts and Figures

June 12, 2019 @ 2:15 pm - 3:30 pm
Forskningslab, Seminar Room 20, Media City Bergen, Lars Hilles gate 30
Bergen, 5008 Norway
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Free

Abstract In this talk, Ana Ozaki will give an introduction to knowledge graphs, starting with the basics: What are knowledge graphs, how are they created, and what are they used for? Then, Ozaki will focus on special cases; in particular, the knowledge graphs of the Wikidata, DBpedia, and YAGO projects. Ozaki will discuss the main reasoning tasks and how to enhance reasoning using common types of meta-knowledge present in knowledge graphs; in particular,  temporal validity and provenance. Then she will…

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Tarek R. Besold: Symbols, Networks, Explanations: A Complicated Ménage à Trois

June 19, 2019 @ 2:15 pm - 3:30 pm
Seminar room 1, UIB @ Media City Bergen, Lars Hilles gate 30
Bergen, Norge 5008 Norway
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Free

Abstract Discussions surrounding questions of interpretability (or even: explainability) in AI and ML are gaining in popularity in academia and industry. I will briefly characterize four notions of explainable AI/ML that cut across research fields: 1) opaque systems that offer no insight whatsoever, 2) interpretable systems where users can mathematically analyse the mechanisms at work, 3) comprehensible systems that emit symbols enabling user-driven explanations of how a conclusion is reached,  and 4) explainable systems, where automated reasoning is central to…

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August 2019

Sonja Smets: Computing Social Behavior

August 27, 2019 @ 3:00 pm - 4:00 pm
Seminar room 1, UIB @ Media City Bergen, Lars Hilles gate 30
Bergen, Norge 5008 Norway
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Abstract Following the recent development in which logical methods can be applied to the formal analysis of social networks, I present work on the use of logic to study social influence and herd behavior in epistemic social networks. In such networks, we first consider agents who adopt a new fashion or behavior depending on whether a "sufficiently large enough group" of their neighbors already has adopted the behavior. We provide different types of models as well as a simple qualitative…

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November 2019

Ambra Demontis: Adversarial Machine Learning

November 18, 2019 @ 2:15 pm - 3:45 pm
Redaksjonsrom (2nd floor) UIB @ Media City Bergen, Lars Hilles gate 30
Bergen, 5008 Norway
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Free

Abstract With the increasing availability of data and computing power, data-driven AI and machine-learning algorithms have recorded an unprecedented success in many different applications. Recent deep-learning algorithms used for perception tasks like image recognition have even surpassed human performance on some specific datasets, such as the famous ImageNet. Despite their accuracy, it is known that skilled attackers can easily mislead those algorithms. In this talk, Ambra will focus on two of the most famous attacks that can be perpetrated against…

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March 2020

Martha Larson: AI vs. Our Eye: New Perspectives on Adversarial Images – 10 March 13.15–14.30

March 10, 2020 @ 1:15 pm - 2:30 pm
Seminar room 1, UIB @ Media City Bergen, Lars Hilles gate 30
Bergen, Norge 5008 Norway
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Image: Fabrizio Falchi

This I2S seminar series lecture explores different approaches to answering the questions: Does AI really see images the way that people do? What are the consequences of the difference between AI and our eye? Abstract What do we see when we look at an image? It depends on the context and on our point of view. Today’s Artificial Intelligence (AI) technology astounds us with its ability to automatically interpret the contents of images. But does AI really see images the…

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