Stories from people dealing with AI Regulation — what changed, who decided it, and what the ordinary days look like now.
40 stories
AI Governance & Ethics
There is no blanket U.S. disclosure rule. A practical answer depends on where the customer is, what the bot is doing, and whether chat becomes an AI-generated call.
Irene Vasko · August 9, 2026 · 8 min
AI Governance & Ethics
A public audit can reveal which hiring system was tested, whose outcomes were counted, and where selection rates diverged. It can also conceal job-level differences and omit demographic groups.
Irene Vasko · 8 min read
AI Governance & Ethics
The FTC’s familiar advertising standard already covers AI claims. Here is how to connect “unbiased,” “private,” or “more accurate” to a test, a defined scope, and recorded limits.
Irene Vasko · 8 min read
AI Governance & Ethics
One appointment-reminder call can cross federal consent rules, state AI disclosures, and voice-likeness rights. Product teams need a call-level policy matrix before the system dials.
Irene Vasko · 8 min read
AI Governance & Ethics
US disclosure duties turn on location, purpose, profession, and channel. A visible label at first contact is the cleanest baseline, but voice callbacks and human handoffs need separate controls.
Irene Vasko · 8 min read
AI Governance & Ethics
A single voice-cloning workflow can trigger rules for biometrics, publicity rights, impersonation, and robocalls. A checkbox at upload is no longer a sufficient product control.
Irene Vasko · 8 min read
AI Governance & Ethics
A resume model is not covered merely because a vendor calls it AI. Employers need evidence showing what it outputs, how recruiters use it, which jobs it affects, and whether required audits and notices exist.
Irene Vasko · 8 min read
AI Governance & Ethics
New York City requires annual bias audits for covered hiring tools, but a results page cannot prove the test used the right data, workflow, or software version.
Irene Vasko · 8 min read
AI Governance & Ethics
New York City requires a published bias audit for covered automated hiring and promotion tools. The resulting table is a compliance artifact, not proof that every deployment is fair or lawful.
Irene Vasko · 7 min read
AI Governance & Ethics
The city’s rule reaches tools that score or rank people and materially drive hiring or promotion decisions. Its required audit measures outcome disparities, not accuracy or general fairness.
Irene Vasko · 8 min read
AI Governance & Ethics
A vendor may call it analytics, but if it changes who gets housing, credit, work, or service, put it on the map. New Jersey’s existing laws and proposed rules make the missing records matter.
Irene Vasko · 8 min read
AI Governance & Ethics
The Colorado AI Act turns on how a system affects a decision, not whether a vendor calls it AI. Start with one row per workflow, then determine which rows need legal review and impact assessments.
Irene Vasko · 8 min read
AI Governance & Ethics
Businesses using AI for hiring, lending and other consequential decisions must build the compliance record. Vendor documentation helps, but it does not replace the deployer’s assessment.
Irene Vasko · 8 min read
AI Governance & Ethics
EU rules are making model documentation a practical dependency. US deployers should request a versioned evidence packet before a European provider changes or withdraws the model.
Irene Vasko · 8 min read
AI Governance & Ethics
A usable inventory must connect each AI system to the decision it influences, the people affected, its controls, and the evidence its vendor has not supplied.
Irene Vasko · 8 min read
AI Governance & Ethics
State election laws ask different questions about synthetic media, from format and timing to sponsorship. A publishing ticket can catch those differences before distribution.
Irene Vasko · 8 min read
AI Governance & Ethics
New Jersey’s discrimination law already reaches automated hiring. Before a scoring tool goes live, employers need evidence for its job relevance, accommodation route, vendor controls and candidate notices.
Irene Vasko · 8 min read
AI Governance & Ethics
A Newark employer recruiting in Manhattan, Chicago, or Colorado can inherit different audit, consent, and appeal duties. The compliance trigger often follows the job or applicant, not headquarters.
Irene Vasko · 8 min read
AI Governance & Ethics
An applicant may encounter four automated systems before a recruiter calls. Mapping those systems shows which discrimination duties, notices, bias reviews, and vendor records may apply.
Irene Vasko · 8 min read
AI Governance & Ethics
State political deepfake laws disagree on disclosure text, election windows, covered formats, and penalties. Campaigns and platforms need an asset-level map before distribution.
Irene Vasko · 8 min read
AI Governance & Ethics
A hiring score can trigger different duties in Colorado, Illinois and New York City. The workable unit of compliance is one system, one use and one jurisdiction per inventory row.
Irene Vasko · 8 min read
AI Governance & Ethics
TikTok, YouTube, Instagram, and X attach warnings to posts, not necessarily files. A download-and-repost audit shows why disclosure needs provenance that travels.
Irene Vasko · 8 min read
AI Governance & Ethics
A polished denial letter can be detached from the model and rules that rejected an applicant. The lender needs a decision-time trace, not a story generated from the result.
Irene Vasko · 8 min read
AI Governance & Ethics
New York City regulates what employers tell candidates and what they test about hiring tools. Those duties run on different evidence, owners, and clocks.
Irene Vasko · 8 min read
AI Governance & Ethics
A hiring rejection can pass through several vendor models without appearing in an AI register. This worksheet traces the decision, evidence, notice, appeal, and accountable team.
Irene Vasko · 8 min read
AI Governance & Ethics
A ranking score, generated summary and recruiter click can form one automated decision path. Employers need records showing each step, its owner and whether a human could reverse it.
Irene Vasko · 8 min read
AI Governance & Ethics
An auditor’s report covers one requirement under Local Law 144. Employers still have to resolve scope, publish the required summary, deliver notices, and preserve evidence of what candidates saw.
Irene Vasko · 8 min read
AI Governance & Ethics
A synthetic voice or video can trigger election, impersonation, consent, broadcasting, and platform rules. Use release gates tied to each jurisdiction and distribution channel.
Irene Vasko · 8 min read
AI Governance & Ethics
Local Law 144 does not cover every recruiting bot. This worksheet traces whether a tool’s output substantially assists a hiring or promotion decision and, if so, what records counsel needs.
Irene Vasko · 8 min read
AI Governance & Ethics
A hiring model’s assessment must follow its data, decisions, notices, appeals, and material changes. Here is how to build that work into deployment rather than filing it once.
Irene Vasko · 8 min read
AI Governance & Ethics
A label that works for a synthetic campaign video in Florida may fail in California or Minnesota. Teams need a review workflow built around the asset, election calendar, audience, and channel.
Irene Vasko · 8 min read
AI Governance & Ethics
A clean fairness result may describe only the applicants who survived résumé parsing and knockout rules. Auditors need the population entering each gate, not merely the group an AI model scored.
Irene Vasko · 8 min read
AI Governance & Ethics
Feature importance can describe a model’s calculation without explaining the decision. A usable denial notice must trace the outcome to records a person can inspect and challenge.
Irene Vasko · 8 min read
AI Governance & Ethics
Feature importance may describe a model without explaining a denial. A defensible workflow connects customer-facing reason codes to the data, rules, and model output used in that case.
Irene Vasko · 8 min read
AI Governance & Ethics
Captions and platform labels can vanish one repost later. Campaigns need disclosures in the media itself, backed by provenance records and tested across common copying paths.
Irene Vasko · 7 min read
AI Governance & Ethics
Adding a generated brief or ranking to recruiting software can create compliance duties when recruiters rely on it. The tool’s influence, not its “copilot” label, controls the analysis.
Irene Vasko · 8 min read
AI Governance & Ethics
A provider can document its model, restrictions, tests, and updates. It cannot prove that your hiring workflow treats candidates fairly or that recruiters use its output as intended.
Irene Vasko · 7 min read
AI Governance & Ethics
A platform can label an AI-altered election ad without making that disclosure portable. Downloads, screen recordings, crops, and reposts each preserve different evidence.
Irene Vasko · 7 min read
AI Governance & Ethics
Colorado’s AI law turns system purpose and decision influence into compliance facts. A recruiting ranker shows how to document vendors, impact assessments, notices, and appeals.
Irene Vasko · 8 min read
AI Governance & Ethics
For covered credit decisions, existing federal rules require specific reasons tied to the individual outcome. A model summary or low score may explain the system without explaining the denial.
Irene Vasko · 8 min read
Other impacts
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