NORMalize 2025: The Third Workshop on Normative Design and Evaluation of Recommender Systems
Unlocking Responsible AI: A Deep Dive into Normative Design
This paper announces NORMalize 2025, the third workshop focusing on normative design and evaluation of recommender systems. It aims to advance research on norms and values underpinning these systems, bringing together interdisciplinary researchers and practitioners. The workshop will feature discussions, presentations of early-stage research, and previously published works, fostering cross-disciplinary collaboration to improve normative design and evaluation practices.
Key Insights at a Glance
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Deep Analysis & Enterprise Applications
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Introduction to Normative Design
Interdisciplinary Collaboration
Workshop Objectives
Explores the foundational concepts of normative thinking in recommender systems, emphasizing the shift from 'what is' to 'what should be' and the importance of identifying and prioritizing values in system design.
Highlights the critical need for interdisciplinary discussion across humanities, social sciences, and exact sciences to address the complex ethical and societal implications of AI and recommender systems.
Details the goals of NORMalize 2025, including fostering a platform for knowledge sharing, stimulating cross-disciplinary dialogue, and advancing normative design practices.
3rd
Annual NORMalize Workshop
Workshop Process Flow
Call for Contributions
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Submission & Review
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Presentations
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Breakout Discussions
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Interdisciplinary Collaboration
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Real-world Impact of Recommender Systems
Recommender systems significantly influence society, from shaping public debate on social media to affecting job opportunities and artist compensation. The NORMalize workshop emphasizes that developers and researchers must be mindful of the research conducted and who controls these technologies, ensuring benefits extend beyond a 'happy few' to society at large.
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Phased Implementation Roadmap
A structured approach to integrating normative design principles into your AI development lifecycle.
Phase 1: Conceptualization & Research
Identifying core norms and values, conducting literature reviews, and forming interdisciplinary teams.
Phase 2: Design & Prototyping
Translating identified values into design principles and building initial system prototypes with ethical considerations.
Phase 3: Evaluation & Refinement
Evaluating system behavior against normative claims, gathering feedback from diverse stakeholders, and iteratively refining the design.
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