Together with the Bavarian Academy of Sciences and Humanities (BAdW) we are organizing an international symposium. We are very pleased to invite you to submit your papers:
Responsible AI: Promises, Pitfalls, and Practices
April 8-10, 2025, Munich
In recent years, AI technologies have rapidly gained prominence across sectors like healthcare, finance, and labor market, offering the potential to transform industries, enhance decision-making, and improve services. However, alongside these promises come significant ethical, social, and technical challenges. While AI has been praised for its capacity to address complex issues and foster innovation, concerns about bias, transparency, accountability, and fairness are increasingly urgent. Critics warn that without careful oversight, AI could perpetuate existing inequalities and create new forms of discrimination. Despite these ongoing debates, much of the discourse remains speculative, highlighting the need for deeper empirical and theoretical inquiry into AI's impacts and the social, ethical and political responsibilities that should guide its development.
Our symposium provides an opportunity to explore, from social sciences and humanities perspectives and through interdisciplinary conversations, what constitutes responsible AI development, application, and governance. It aims to offer a platform for international researchers to exchange insights, discuss new approaches, and foster interdisciplinary collaborations that will enhance and deepen our understanding of what it means to engage with AI responsibly.
We welcome presentations from a wide range of methodological and theoretical perspectives, across the social sciences and humanities. We are particularly interested in work that builds or reflects on research conducted and interdisciplinary collaboration with researchers in the computer sciences. Submissions may include, but are not limited to:
Analyses of social, ethical and political dimensions of AI development and use practices across various fields of application (e.g., medicine, industry, labor market, finance, etc.)
Analyses of the social, political and economic ecosystems in which AI is currently developed, including big data infrastructures
Methodological challenges in studying AI in development and practice (e.g. in integrative, trans-/interdisciplinary, and participatory settings)
Complex relations of academic and industry-based research in AI
Theorical and conceptual consideration for expanding conceptions of responsible AI
Sociotechnical innovations for embedding responsibility into AI systems
Analyses specifically focused on questions of social justice, inclusion and equity in AI development and practice
This interdisciplinary event will take place from 8th to 10th April 2025 at the Carl Friedrich von Siemens Foundation in Munich, Germany.
Please submit your title, abstract (max. 300 words) and a short bio (max. 150 words) to kathrin.hertle@hfph.de until 15th December 2024.
Alongside traditional academic articles, we also consider alternative ways of communicating research, such as videos, short stories, photo essays, posters, verse, among others.
Venue
Südliches Schloßrondell 23
80638 Munich, Germany
Contact
Kathrin Hertle
Managing Director
Center for Responsible AI Technologies, a cooperation by Augsburg University, Technical University of Munich, and Munich School of Philosophy
Munich School of Philosophy
Kaulbachstr. 31/33, 80539 Munich, Germany
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