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Hachette Reportedly Canceled Publication of Mia Ballard's Shy Girl After Generative AI Authorship Allegations

4 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Large Language Model Developers and Generative Ai Developers and deployed by Mia Ballard'S Editor allegedly harmed Mia Ballard, Hachette Book Group and 1 other.

Risk domain
Malicious Actors & Misuse Fraud, scams, and targeted manipulation
Occurred
Coverage
4 reportsMar 2026

What happened

Hachette Book Group reportedly canceled U.S. publication of Mia Ballard's horror novel Shy Girl and said its Wildfire imprint would not continue publishing the U.K. edition after investigating allegations that parts of the book were generated with AI. Ballard reportedly said she did not personally use AI and suggested an editor of an earlier self-published version may have done so.

Laws that address this harm

Policy angle: Classified under Malicious Actors & Misuse (Fraud, scams, and targeted manipulation) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (4)

Titles link to the original publisher; report text is not reproduced here.

  1. Publisher Pulls ‘Shy Girl’ Horror Novel After AI Allegations
    wsj.com · Jeffrey A. Trachtenberg
  2. Horror Novel ‘Shy Girl’ Canceled Over Suspected A.I. Use
    nytimes.com · Alexandra Alter
  3. Publisher cancels horror novel's release over AI claims
    bbc.com · Paul Glynn
  4. Hachette pulls horror novel Shy Girl after suspected AI use
    theguardian.com · Emma Loffhagen

Who was involved

Alleged deployer
Mia Ballard'S Editor
Alleged harmed party
Mia Ballard, Hachette Book Group, Novelists

Classification (MIT AI Risk Repository taxonomy)

Causal entity
AI
Intent
Other
Timing
Post-deployment
Harm level
—
Sectors
—
Countries
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Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Misinformation and Manipulation

    "Recent studies have demonstrated that LLMs can be exploited to craft deceptive narratives with levels of persuasiveness similar to human-generated content (Pan et al., 2023b; Spitale et al., 2023), to fabri- cate fake n...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #1444 on the AI Incident Database · all 4 reports