Artificial Intelligence made incredible progress during the past decade. From the first autonomous shopping carts delivering your groceries, to AI-generated music that's indistinguishable from that created by humans — we’ve watched AI move into exciting new applications. But, with great progress comes also questions about who is in charge and who has control over the massive amounts of data being collected. Do we understand what the algorithms do? What is needed to work with Artificial Intelligence and Machine Learning today? What do we need to do as an organisation and what competences are needed in the future?
Join us for a digital Alumni After Work with a research panel from the AI Lund network! The panelists, who have different perspectives on artificial intelligence, will give you the latest on AI research at Lund University. And you will be invited to ask questions. Click here for more information about AI Lund
WHEN: 4 November, 16.30 CET
WHERE: Online, an event link will be sent a few days before the event. This event is in English.
About the panelists
Sonja Aits - Research team leader at the Faculty of Medicine and Lund Institute of Advanced X-Ray and Neutron Science (LINXS). Sonja Aits' team develops artificial intelligence methods that can automatically extract information from vast amounts of medical texts, e.g. to support evidence-based decision making in the COVID-19 pandemic. They also develop AI methods for biomedical image analysis, e.g. to classify datasets with millions of images and automatically detect objects of interest.
Anamaria Dutceac Segesten - Associate Professor in Strategic Communication and a researcher specialised in social media and politics. Anamaria Dutceac Segesten uses computational methods to analyse the content and behaviour of users on social media platforms such as Twitter, Facebook and Reddit.
Jonas Ledendal - Senior lecturer in business law at the School of Economics and Management at Lund University. Jonas Ledendal's research focuses on law and digital transformation. He is currently involved in several research projects about artificial intelligence, data sharing and automated decision-making in the public sector.
Kalle Åström - Professor at the Centre for Mathematical Sciences at Lund University. Kalle Åström's research concerns machine learning for the analysis of images and sound. How can we recognise things in images and sound? How can we calculate 3D maps and positions based on images and sound? Currently he is coordinating the network for Artificial Intelligence at Lund University, AI Lund.