PUB - Publikationen an der Universität Bielefeld

The rapid advancement of artificial intelligence (AI)has brought about a paradigm shift in various do-mains, from healthcare to finance, and from au-tonomous systems to natural language processing.As AI systems become increasingly integrated intoour daily lives, ensuring their trustworthiness isparamount. The DataNinja sAIOnARA 2024 Confer-ence, centered around the theme “Shaping Trustwor-thy AI: Opportunities, Innovation, and Achievementsfor Reliable Approaches”, brought together cutting-edge research aimed at addressing the multifacetedchallenges of creating reliable and ethical AI sys-tems. This collection of scientific abstracts representsa broad spectrum of innovative work that contributesto the overarching goal of trustworthy AI.The contributions are grouped under three pre-vailing hot topics in XAI: fairness and ethics, inter-pretability and transparency, and reliability and ro-bustness, highlighting the multifaceted approaches todeveloping AI systems that are both innovative andtrustworthy.