AIPolicyTracker

AI incident ·

Reported Disqualification of Two Books from the Ockham New Zealand Book Awards Due to Alleged AI-Generated Cover Art

6 news reports Snapshot 7 Sep 2026

In brief

An AI system built by Image Generation Technology Developers and deployed by Sugarcube Studios allegedly harmed Elizabeth Smither, Stephanie Johnson and 3 others.

Risk domain
Socioeconomic & Environmental Harms Economic and cultural devaluation of human effort
Occurred
Coverage
6 reportsNov 2025

What happened

Organizers of the Ockham New Zealand Book Awards reportedly disqualified two fiction books after it was reportedly determined their cover illustrations were produced using AI-assisted tools, rendering the works ineligible under newly introduced award criteria. The publisher reportedly confirmed AI involvement in the jacket designs. The authors were not implicated in the artwork decisions but were nonetheless removed from consideration for the 2026 running.

Laws that address this harm

Policy angle: Classified under Socioeconomic & Environmental Harms (Economic and cultural devaluation of human effort) 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 (6)

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

Who was involved

Alleged deployer
Sugarcube Studios
Alleged harmed party
Elizabeth Smither, Stephanie Johnson, Quentin Wilson Publishing, Ockham New Zealand Book Awards, Epistemic Integrity

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Unintentional
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 6.3.

  • Cultural dispossession

    "Cultural dispossession - Intentional and/or unintentional erasure of cultural goods and values, such as ways of speaking, expressing humour, or sounds and voices that contribute to a cultural identity, or their inapprop...

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

  • Loss of creativity/critical thinking

    "Loss of creativity/critical thinking - Devaluation and/or deterioration of human creativity, artistic ex- pression, imagination, critical thinking or problem-solving skills."

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

  • Copyright infringement

    "The use of large amounts of copyrighted data for training general- purpose AI models poses a challenge to traditional intellectual property laws, and to systems of consent, compensation, and control over data. The use o...

    International Scientific Report on the Safety of Advanced AI (Bengio2024)

  • Risks of copyright infringement

    "The use of vast amounts of data for training general- purpose AI models has caused concerns related to data rights and intellectual property. Data collection and content generation can implicate a variety of data rights...

    International AI Safety Report 2025 (Bengio2025)

  • Copyright Violation

    "LLM systems may output content similar to existing works, infringing on copyright owners."

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Intellectual property rights violations

    "This is an emerging category, with more cases prone to appear as the use of generative AI tools–such as Stable Diffusion, Midjourney, or ChatGPT–becomes more widespread. Some content creators are already suing for the a...

    Navigating the Landscape of AI Ethics and Responsibility (Cunha2023)

  • Impact on Intellectual Property Rights

    "The extent and effectiveness of legal protections for intellectual property have been thrown into question with the rise of generative AI. Generative AI trains itself on vast pools of data that often include IP-protecte...

    Generating Harms - Generative AI's impact and paths forwards (EPIC2023)

  • Copyright challenges (copyright-infringing output)

    "Even though models generally create new outputs, it is possible that the content produced by a generative AI tool—such as an image, or even computer code— could turn out to be almost identical to that used in the traini...

    Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #1282 on the AI Incident Database · all 6 reports