AI incident ·
Google Books Appears to Be Indexing Works Written by AI
In brief
An AI system built by Google and deployed by Google and Google Books allegedly harmed Google Books, Google Ngram Viewer and 2 others.
- Risk domain
- Misinformation
- Occurred
- Coverage
- 1 report
What happened
Google Books is indexing low-quality, AI-generated books, degrading its database and potentially distorting Google Ngram Viewer's analysis of language trends. This integration of inaccurate or misleading information undermines trust, disseminates poor-quality content, and wastes resources as researchers must spend time clearing up the misinformation.
Laws that address this harm
Policy angle: Classified under Misinformation (Pollution of information ecosystem and loss of consensus reality) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.
- India DPDP Act
- Law on Artificial Intelligence (2025)
- Law No. 132/2025 on artificial intelligence
- EU AI Act
- Texas Responsible AI Governance Act (TRAIGA)
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 (1)
Titles link to the original publisher; report text is not reproduced here.
Who was involved
- Alleged deployer
- Google, Google Books
- Alleged developer
- Alleged harmed party
- Google Books, Google Ngram Viewer, Researchers, General Public
Classification (MIT AI Risk Repository taxonomy)
- Risk domain
- Misinformation
- Causal entity
- AI
- Intent
- Unintentional
- Timing
- Post-deployment
- Harm level
- —
- Sectors
- —
- Countries
- —
Risk entries describing this failure mode
Entries from the MIT AI Risk Repository coded to subdomain 3.2.
- Information degradation
"Information degradation - Creation or spread of false, hallucinatory, low-quality, misleading, or inaccurate information that degrades the information ecosystem and causes people to develop false or inaccurate perceptio...
- Institutional trust loss
"Institutional trust loss - Erosion of trust in public institutions and weakened checks and balances due to mis/disinformation, influence operations, over-dependence on technology, etc."
- Radicalisation
"Radicalisation - Adoption of extreme political, social, or religious ideals and aspirations due to the nature or misuse of an algorithmic system, potentially resulting in abuse, violence, or terrorism."
- Widespread use of persuasive tools contributes to splintered epistemic communities
"Even without deliberate misuse, widespread use of powerful persuasion tools could have negative impacts. If such tools were used by many different groups to advance many different ideas, we could see the world splinteri...
- Reduced decision-making capacity as a result of decreased trust in information
"In addition, the increased awareness of these trends in information production and distribution could make it harder for anyone to evaluate the trustworthiness of any information source, reducing overall trust in inform...
- Worsened epistemic processes for society
"Epistemic processes and problem solving: we currently see more reasons to be concerned about AI worsening society's epistemic processes than reasons to be optimistic about AI helping us better solve problems as a societ...
- AI contributes to increased online polarisation
"One of the most significant commercial uses of current AI systems is in the content recommendation algorithms of social media companies, and there are already concerns that this is contributing to worsened polarisation...
- Degradation of the information environment
"Frontier AI can cheaply generate realistic content which can falsely portray people and events. There is potential risk of compromised decision-making by individuals and institutions who rely on inaccurate or misleading...
Incidents in the same risk subdomain
- Uptick in Low-Quality AI-Produced Content Degraded Publishers' Submission Management
- Korean Politician Employed Deepfake as Campaign Representative
- Facebook Political Ad Delivery Algorithms Inferred Users' Political Alignment, Inhibiting Political Campaigns' Reach
Source record: incident #684 on the AI Incident Database · all 1 report