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Should Authors Acknowledge or Disclose AI Assistance in Their Publications?

A Discussion

By Dave Karpinsky, PhD, MBAPublished 15 days ago 5 min read

Raise of hands, how many of you use AI in your stories and publications? Come on, really? Raise your hand. Be honest.

A recent survey among authors in the United States in 2023 revealed that approximately 23% of authors reported using AI in their work. Out of these, 47% used AI primarily for grammar and style checks, while others utilized it for generating content, brainstorming ideas, or overcoming writer's block. This indicates a growing trend of incorporating AI tools in the writing process, reflecting both the benefits and the emerging dependence on these technologies (Statista, 2023).

Another study from 2024 discusses the role of AI in book publishing, suggesting that while AI can significantly aid in drafting and editing, its contributions are often limited to specific tasks like content generation, creative suggestions, and structural improvements. Authors are advised to limit AI-generated content to a small portion of their work, typically around 5%, to maintain originality and avoid potential plagiarism issues (YouPublish, 2024).

Moreover, ethical guidelines from the Alliance of Independent Authors emphasize the importance of transparency and ethical considerations when using AI in writing. Authors are encouraged to disclose their use of AI tools, ensuring that readers and publishers are aware of the extent of AI involvement. This is crucial for maintaining trust and upholding the integrity of the creative process (ALLi, 2024).

While a significant percentage of authors are integrating AI into their writing workflows, the extent and nature of its use vary. Disclosure and ethical considerations are key to navigating this evolving landscape.


This article was written by a human. For the most part.


In today's literary and creative landscape, should authors start labeling their stories and books to acknowledge the use of AI, as above? This question is becoming increasingly relevant as AI tools become more prevalent in the writing process. When we consider the credits given to assistants, research peers, and the myriad contributors involved in movies, it seems reasonable to extend this practice to AI. However, this raises several questions: To whom exactly do we give credit? To a machine? And would this acknowledgment undermine our strength as writers?

As artificial intelligence (AI) continues to advance, its applications in creative fields have become more prevalent. In writing, AI tools like ChatGPT are now capable of generating coherent and engaging content, prompting a critical question: Should authors acknowledge or disclose the use of AI in their publications? This topic has sparked considerable debate, touching on issues of transparency, ethics, and the evolving role of authorship in the digital age.

The Case for Disclosure

1. Transparency and Integrity:

o Trust with Readers: Transparency is a cornerstone of integrity in any profession. Disclosing AI assistance in writing maintains trust between authors and their readers. Readers have the right to know the extent to which AI contributed to a work, allowing them to make informed decisions about the content they consume.

o Academic Standards: In academic and professional contexts, proper attribution is essential. Just as researchers must cite sources and collaborators, acknowledging AI's role upholds academic integrity and respects the collaborative nature of modern scholarship.

2. Ethical Considerations:

o Originality and Plagiarism: Disclosing AI use addresses potential concerns about originality. If an AI-generated passage resembles existing works, transparency helps avoid accusations of plagiarism. Authors should clearly differentiate between their own contributions and those generated by AI to maintain ethical standards.

o Fair Recognition: AI, while not a human collaborator, represents significant technological effort and intellectual property. Acknowledging AI tools pays homage to the innovation and resources that underpin these technologies.

3. Reader Expectations:

o Informed Consumption: Readers’ expectations vary. Some may prefer human-authored works for their perceived authenticity and emotional depth. Disclosing AI involvement allows readers to choose content that aligns with their preferences and values.

o Market Influence: In the publishing industry, AI-generated content can influence market dynamics. Transparency ensures a level playing field where readers can discern the nature of the works they support, potentially guiding market trends.

The Case Against Disclosure

1. Author Autonomy:

o Creative Control: Some argue that AI is merely a tool, akin to a word processor or spell checker, which does not necessitate disclosure. The final creative output remains under the author's control, and the emphasis should be on the quality of the work rather than the tools used.

o Stigma and Bias: Disclosing AI use might introduce bias or stigma. Readers might undervalue the work based on misconceptions about AI's role, potentially undermining the author's efforts and creativity.

2. Practical Challenges:

o Complex Contributions: In many cases, AI assists in a piecemeal fashion, offering suggestions or drafting sections that are heavily edited by the author. Quantifying AI's contribution can be challenging and may not warrant explicit acknowledgment.

o Evolving Standards: As AI becomes more integrated into everyday writing tools, setting a precedent for disclosure could lead to cumbersome practices. Establishing clear guidelines on what constitutes significant AI contribution versus minor assistance would be necessary.


Shouldn't readers know if a human heart or a silicon chip crafted the words they cherish?


Topics for Discussion

1. Defining Authorship: How should we define authorship in the age of AI? At what point does AI assistance merit recognition as a co-author or significant contributor? This discussion delves into the philosophical and practical implications of human-AI collaboration.

2. Regulatory and Industry Standards: Should there be industry-wide standards or regulations mandating the disclosure of AI use in writing? Examining the role of publishing bodies, academic institutions, and professional organizations in setting these standards is crucial.

3. Impact on the Literary Landscape: How might widespread AI use and disclosure practices affect the literary world? Will there be a shift in the types of narratives that dominate the market, and how will this influence the role of traditional authors?

4. Ethical AI Development: Ensuring ethical AI development involves transparency about its uses. Discussing the responsibilities of AI developers and users in maintaining ethical standards and protecting intellectual property rights can help shape future policies.

5. Reader Perception: How do readers perceive AI-generated content? Exploring surveys and studies on reader preferences and biases can offer insights into how transparency affects consumption and appreciation of literature.


The question of whether authors should acknowledge or disclose AI assistance in their publications is multifaceted, involving ethical, practical, and philosophical considerations. While transparency fosters trust and ethical integrity, it also introduces challenges related to author autonomy and practical implementation. As AI continues to evolve, so too will the norms and standards surrounding its use in creative fields. Engaging in open, informed discussions about these issues will help shape a future where AI and human creativity coexist harmoniously, enhancing the literary landscape while respecting the principles of originality and integrity.

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About the Creator

Dave Karpinsky, PhD, MBA

A world traveler, educator, consultant, entrepreneur, husband and a father sharing his experience and wisdom. Join me as I weave my narrative, offering a window into a life lived fully and passionately. Please subscribe :-)

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    Dave Karpinsky, PhD, MBAWritten by Dave Karpinsky, PhD, MBA

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