Description: NPR's David Greene reportedly sued Google LLC and Alphabet in Santa Clara County, alleging NotebookLM's Audio Overviews uses a synthetic male voice that purportedly mimics his cadence and delivery without consent or compensation. The complaint reportedly cited an independent voice-recognition analysis reporting 53–60% confidence his voice trained the model. Google reportedly called the allegations baseless and said the voice is based on a paid actor.
Editor Notes: Copy of the filed lawsuit: https://business.cch.com/ipld/GreeneGoogleAlphabetComplaint20260123.pdf.
Entities
View all entitiesAlleged: Google and NotebookLM developed and deployed an AI system, which harmed Voice actors and David Greene.
Alleged implicated AI system: NotebookLM
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Privacy & Security
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Other
Incident Reports
Reports Timeline
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David Greene had never heard of NotebookLM, Google's buzzy artificial intelligence tool that spins up podcasts on demand, until a former colleague emailed him to ask if he'd lent it his voice.
"So... I'm probably the 148th person to ask thi…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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