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 […]
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, […]
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 […]
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 […]
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 […]
Abstract Machine learning is an important part of AI and it’s application very successful at the moment. However, it’s use is limited to situations where problems can be characterized as classification problems and the classification is learned from massive amounts of data. Most of today’s challenges in society (like climate change, pandemics, migration, etc.) are […]
Abstract Catastrophic storms such as hurricanes are among the most lethal and costly natural disasters affecting humankind. In recent years, the social and economic damages caused by hurricanes have increased dramatically due to climate change. In addition, widespread failures in critical infrastructure draw attention to the importance of adequately assessing hurricane damage. The aftermath of […]
Abstract In recent years, the field of natural language processing has seen substantial developments resulting in robust voice-based interactive services. The quality of the voice and interactivity are sometimes so good that the artificial cannot be differentiated from real persons. Thus, discerning whether an interactional partner is a human or an artificial agent is no […]
Abstract Creativity remains one of the most valued and the most mysterious of human (and sometimes animal) capacities. There are two particular things that make creativity difficult to study. First, it is extremely context-sensitive and subjective. Second, it is not a thing, nor a property of a thing, but rather a property of processes. Both […]
Abstract Artificial Intelligence has been of great interest in the healthcare domain where large amounts of data are available and its usage promises an improvement in providing state-of-the-art healthcare services. However, developing novel and relevant services require a close collaboration between medical and AI professionals. In this talk, I will present how we created AI-driven […]