The "Institut for Literatur- and Puplicationtransparency" (short: ILPT) project explores the future integration of artificial intelligence (AI) in the book industry. It envisions a balanced literary landscape where human-authored and AI-generated books coexist harmoniously. The project aims to foster transparency and trust by clearly labeling the extent of AI involvement in the creation of literary works.
The Institute for Literacy and Puplicationtransparency introduced a four-tiered AI usage label for books, ranging from minimal to full automation. This system gives readers insight into the extent of machine involvement during the writing process. An accompanying audit tool allows publishers to track and disclose AI inputs across all production phases. In addition, a concept for a public-facing website was developed to increase reader awareness and promote transparency. Together, these outcomes form a visionary yet practical response to the growing need for clarity and accountability in the intersection of AI and literature.
The project investigated the role of AI in literature by examining its ethical, cultural, and regulatory dimensions. Through Design Futuring methods like Futures Wheels and Scenario Building, the team explored potential developments in authorship, transparency, and market impact. Particular focus was placed on the creation of labeling systems for AI-generated content and on aligning design interventions with the revised AI Act of 2027. Insights from this speculative exploration laid the groundwork for new frameworks that address both industry transformation and reader expectations in an increasingly automated literary landscape.
Futures Thinking can uncover the long-term effects of emerging technologies in sensitive fields like literature. Transparent design fosters trust and agency among readers. Speculative tools such as the audit system and AI labeling sparked essential dialogue within the publishing industry. Most importantly, integrating regulatory foresight into creative systems ensures that design not only responds to current needs but anticipates societal and legal shifts—making innovation both ethical and sustainable.
At its core, the system comprises three interconnected elements: a transparent AI-level label, a behind-the-scenes audit tool, and a reader-oriented web platform. The label classifies each book by its AI involvement, encouraging open disclosure. The audit tool provides publishers with a structured method to document AI use throughout content creation. Meanwhile, the website acts as a bridge between industry and audience, offering background information and visual cues for informed reading. The system thus builds a multi-layered infrastructure for ethical transparency in a shifting literary ecosystem.
