https://xplainlp.github.io/authors/dr.-raphael-fischer/Dr. Raphael FischerHugo Blox Builder (https://hugoblox.com)en-ushttps://xplainlp.github.io/authors/dr.-raphael-fischer/avatar_hu7881539067379971431.jpghttps://xplainlp.github.io/authors/dr.-raphael-fischer/https://xplainlp.github.io/authors/dr.-raphael-fischer/Mon, 01 Jan 0001 00:00:00 +0000https://xplainlp.github.io/authors/dr.-raphael-fischer/<p>Dr. Raphael Fischer has completed his Computer Science PhD at Lamarr Institute &amp; TU Dortmund University, where he developed novel methods to measure (STREP framework), communicate (AI labels), and optimize (compositional meta-learning) the sustainability and trustworthiness of ML and AI models. His research explores the practical implications for our society, economy, and environment, also drawing from real-world experience gained from three years of close collaboration with Wilo SE. He opened the Young AI Leaders Hub in Dortmund under the global UN AI for Good mission in 2025, and joined KIT as a YIG Prep Pro Remote Fellow in 2026.</p> <p>Most recently joining the XplaiNLP group at JGU Mainz, he explores how the verification and extraction of disinformation narratives as well as political biases and applications of LLMs can be connected to trustworthiness and sustainability research. Personal webpage: <a href="https://raphischer.de/" target="_blank" rel="noopener">https://raphischer.de/</a></p>