Editorial Alignment: A Participatory Approach to Engaging Editorial Expertise in LLM-mediated Knowledge Dissemination
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Abstract (arXiv)
The emergence of LLM-driven information services is reshaping the conditions under which public knowledge institutions operate, threatening to absorb the editorial function these institutions exist to exercise. While LLMs offer powerful new affordances for knowledge dissemination, editorial authority is challenged by pretrained LLMs that arrive already aligned with the values and dissemination strategies of their commercial developers. This paper investigates editor participation in re-aligning LLM interfaces to editorial standards through design workshops, in a case study where we design and implement an LLM-enabled encyclopedia interface with a Nordic public knowledge institution. We introduce editorial alignment as a design practice within Participatory AI, framing AI alignment as a design process and positioning the editorial standard as a design artefact that translates editorial practice and values into alignment objectives for technical implementation. Last, we discuss how editorial alignment can create space for ongoing participation and give editors agency in LLM-mediated knowledge dissemination.
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References · 13
- 2017Deep reinforcement learning from human preferencescited by 3,912
- 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
- 2020Artificial Intelligence, Values and Alignmentcited by 448
- 2022Power to the People? Opportunities and Challenges for Participatory AIcited by 138
- 2024Collective Constitutional AI: Aligning a Language Model with Public Inputcited by 123
- 2024Survey of Cultural Awareness in Language Models: Text and Beyondcited by 103
- 2023The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practicecited by 87
- 2024Safeguarding Large Language Models: A Surveycited by 78
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- 2024Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Projectcited by 1
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