From ChatGPT, Deep Fake artificial images, to automated Machine Learning methods that anyone can use, recent advancements in generative Artificial Intelligence (AI) methods are attracting even more attention in this rapidly expanding field.
The panel discussion will shed light on the democratization of AI and how it enables more people than ever, including those outside the research community, to leverage cutting-edge methods for exciting new applications. At the same time, experts will discuss risks and negative aspects such as the role of workers from the global south, when it comes to algorithm development.
Prof. Dr. Felix Biessmann, Professor for Data Science at the ECDF and Berliner Hochschule für Technik
Tessa Darbyshire, Responsible AI & Data Science Strategy Manager at Elsevier
Presenter: Katharina Heckendorf
Date and Time: 22 March 2023, 15:30 - 17:00 CET with reception afterwards (17:00-19:00 CET)
Location: ECDF, Wilhelmstraße 67, 10117 Berlin
Registration: Please send an E-Mail to firstname.lastname@example.org if you would like to attend on site. The livestream will be provided on this website before the event.
This event, co-hosted in partnership by the Einstein Center Digital Future (ECDF) and Elsevier, is part of the series of events “Conversations on Science in the Digital Future”. Over the next few months, several panel discussions will delve into current and important topics to advance the debate on data use in science, such as vulnerable population and assessment data, synthetic data, artificial intelligence, and ethics in scientific publishing. The blended events will take place at ECDF in Berlin and online.