Responsible AI: Governance, Ethics and Sustainable Innovation

As AI becomes increasingly autonomous and embedded in socio-technical environments, balancing innovation with social responsibility grows more urgent. How can AI remain consistent with human values and transparent? This presentation explores the intersection of AI ethics, governance, and agent-based perspectives. Governance structures and regulatory mechanisms play a central role in trustworthy, adaptable AI. The integration of ethical frameworks, explainability, and regulatory compliance are key focuses. A multidisciplinary approach combines formal models, ethical considerations, and adaptive policy mechanisms to develop AI systems that are fair and accountable.

Speaker: Prof. Dr. Virginia Dignum (Umeå University, Sweden)
Virginia Dignum is Professor of Responsible AI at Umeå University, Sweden, and heads the AI Policy Lab. She advises the Wallenberg Foundations on AI policy issues and is Chair of the ACM Technology Policy Council. Dignum received her PhD from Utrecht University in 2004 and was named a Wallenberg Scholar in 2024. She is a Fellow of EURAI and ELLIS and a member of numerous AI expert commissions. Dignum founded ALLAI and is co-chair of the WEF Global Future Council on AI.

Registration required for on-site participation. The lecture will also be available via livestream, you’ll find the streaming link on time on the Munich AI Lectures website.