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Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts (2403.00439v1)

Published 1 Mar 2024 in cs.HC and cs.AI

Abstract: Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author's vision to the audience's context and taste at scale. However, it is unclear what the authors' values and attitudes would be regarding AI-bridged CLA. To identify these values and attitudes, we conducted an interview study with 18 authors across eight genres (e.g., poetry, comics) by presenting speculative but realistic AI-bridged CLA scenarios. We identified three benefits derived from the dynamics between author, artifact, and audience: those that 1) authors get from the process, 2) audiences get from the artifact, and 3) authors get from the audience. We found how AI-bridged CLA would either promote or reduce these benefits, along with authors' concerns. We hope our investigation hints at how AI can provide intriguing experiences to CLA audiences while promoting authors' values.

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Authors (5)
  1. Taewook Kim (10 papers)
  2. Hyomin Han (1 paper)
  3. Eytan Adar (20 papers)
  4. Matthew Kay (9 papers)
  5. John Joon Young Chung (15 papers)
Citations (5)
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Summary

Examining Authors’ Perspectives on AI-Bridged Creative Language Arts

Introduction

The advent of generative AI technologies has paved the way for innovative interactions between authors and audiences in the field of creative language arts (CLA). This paper explores the emerging concept of AI-bridged CLA, which utilizes AI models to present personalized versions of an author's vision to the audience. By conducting interviews with 18 authors across various genres, this research sheds light on authors’ perspectives, their perceived benefits from the AI-bridged CLA process, and their concerns.

Methodology

The paper employed a semi-structured interview format to explore authors' attitudes towards speculative AI-bridged CLA scenarios. Participants included authors from a range of CLA fields, such as poetry, novels, and interactive fiction, providing a broad view of professional opinions. These interviews aimed to understand the potential shifts in the dynamic interactions between author, artifact, and audience facilitated by AI.

Findings: The Dynamics of Author, Audience, and Artifact

The research categorizes the benefits perceived by authors into three main areas:

  1. Benefits Authors Get from the Process: The paper found that authors value the creative process highly, with some expressing a strong attachment to their artifacts. The joy, therapeutic effect, and passion derived from creating CLA are significant to authors.
  2. Benefits Audiences Get from the Artifact: Authors aim to imbue their artifacts with values that resonate with or entertain audiences. There is a split between aiming for artifacts to be empathic and engaging narratives and crafting them for pure entertainment.
  3. Benefits Authors Get from the Audience: The appreciation and monetary rewards from the audience are also crucial. Authors seek to make a tangible impact on their audience, which in turn, affords them both emotional and financial returns.

With the potential introduction of AI-bridged CLA, authors anticipate that these dynamics could shift. They envision AI offering new forms of engagement, personalizing experiences for the audience, and ultimately creating a novel space for author-audience interaction. However, concerns were raised about AI’s ability to maintain the unique style of an author, the potential for misuse, and the implications for copyright and ownership.

Design Implications for AI-Bridged CLA

The paper suggests several design considerations for future AI-bridged CLA platforms:

  • Supporting Creation with Authorial Controls: Authors desire mechanisms to set boundaries on how their work is transformed by AI, ensuring that original intentions and artistic integrity are preserved.
  • Supporting Distribution with Socio-technical Approaches: Transparent distribution mechanisms, such as blockchain for recording variations, were discussed as ways to manage copyright and monitor AI’s modifications post-distribution.
  • Addressing Authors’ Concerns: Platforms need to address the potential for AI to inadvertently homogenize content or propagate specific ideologies. Moreover, authors’ concerns regarding job security and the professional implications of AI in CLA must be considered.

Conclusion and Future Work

This investigation into AI-bridged CLA from authors’ perspectives underscores the nuanced views within the creative community regarding AI’s role in CLA. While recognizing the potential for AI to enhance the interactivity and personalization of creative works, authors also express legitimate concerns. Future research should explore the development of AI technologies that honor authors' values and intentions, support dynamic and meaningful engagement with audiences, and responsibly handle the ethical and professional implications of AI in the creative domain.

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