Editorial Alignment: A Participatory Approach to Engaging Editorial Expertise in LLM-mediated Knowledge Dissemination
arXiv:2606.20258v1 Announce Type: cross Abstract: 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 desi
The proliferation of LLMs and their increasing application in information dissemination is forcing institutions to confront the implications for editorial integrity and control.
This paper highlights the critical need for public knowledge institutions to actively shape LLM behavior to protect editorial standards, rather than passively being absorbed by commercial AI values.
The focus is shifting from simply using LLMs to actively engineering their alignment with institutional editorial principles, indicating a potential struggle for control over information dissemination.
- · Public knowledge institutions
- · Editorial professionals
- · Ethical AI developers
- · Unregulated LLM-driven content platforms
- · Commercial LLM developers solely focused on scale
- · Traditional media without AI integration strategies
Public knowledge institutions begin to develop and implement mechanisms for editorial oversight of LLM-generated content.
New standards and best practices emerge for integrating editorial expertise into the design and deployment of AI-mediated information services.
The concept of 'editorial alignment' gains prominence, leading to a bifurcated information landscape where some AI services are certifiably aligned with public interest and others are not.
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Read at arXiv cs.AI