
AI Governance & Ethics
A fluent explanation is useless if it cannot be traced to the rule that produced a denial. Reason codes make chatbot language reviewable before it reaches a customer.
Irene Vasko · 8 min read

AI Governance & Ethics
One privacy request can touch four separate data layers. Each needs its own remedy, owner, and evidence, while model weights may require testing, unlearning, or retraining.
Irene Vasko · 8 min read

AI Governance & Ethics
A permit-review prompt, its attachments, model output, and staff edits can carry different retention and disclosure duties. Agencies need a retrieval workflow before the first request arrives.
Irene Vasko · 8 min read

AI Governance & Ethics
Prompts and profile fields may be only part of the record. AI-generated labels, rankings, and summaries can also relate to a person and may need to be found, reviewed, and disclosed.
Irene Vasko · 8 min read

AI Governance & Ethics
Before testing whether an attention score is right, employers need to know what the software extracts from workers, where it goes, and whether participation can be voluntary.
Irene Vasko · 7 min read

AI Governance & Ethics
Political synthetic media can trigger a platform label, a state-mandated disclaimer, both, or neither. A file-level compliance record helps teams identify which rule applies before publication.
Irene Vasko · 8 min read

AI Governance & Ethics
A defensible denial record connects the customer’s inputs, model result, business rule, human action and notice. New Jersey law does not reduce that chain to one AI log.
Irene Vasko · 8 min read

AI Governance & Ethics
A disclosure that looks clear in the master file can vanish when a platform crops, clips, or recompresses it. Test the published derivatives, not just the export.
Irene Vasko · 8 min read

AI Governance & Ethics
A disclosure added at upload may vanish when a synthetic video is downloaded, clipped, or reposted. Test the exported file, not just the original post.
Irene Vasko · 8 min read

AI Governance & Ethics
A small company does not need a binder of AI policies. It needs retrievable records showing who approved the system, how it was tested, what counts as an incident, and what changed.
Irene Vasko · 8 min read

AI Governance & Ethics
Selection-rate testing can reveal disparities in one hiring workflow. It cannot certify accuracy, fairness or compliance when the software, applicant pool or deployment has changed.
Irene Vasko · 8 min read

AI Governance & Ethics
A disclosure that appears on the approved political ad can vanish during a routine crop or reupload. Compliance teams need records for every exported variant, not just the master.
Irene Vasko · 7 min read

AI Governance & Ethics
A disclosure in the caption or first frame can disappear while the synthetic video keeps moving. Durable labeling requires visible, audible, and machine-readable signals that fail differently.
Irene Vasko · 8 min read

AI Governance & Ethics
Colorado’s AI law turns ordinary system documentation into compliance evidence. Start with one record per decision workflow, including its inputs, reviewers and vendor dependencies.
Irene Vasko · 8 min read

AI Governance & Ethics
A policy statement cannot prove that an AI control operated. Auditable governance ties each model release to tests, ownership, approval, deployment records, and a defined stop condition.
Irene Vasko · 8 min read

AI Governance & Ethics
A support prompt retained for testing can cross from service delivery into product improvement. Approval should depend on purpose, controls, deletion coverage, and evidence.
Irene Vasko · 8 min read

AI Governance & Ethics
A national campaign cannot treat a political deepfake disclosure as one line of boilerplate. The trigger, wording, placement, timing, and enforceability change across state lines.
Irene Vasko · 8 min read

AI Governance & Ethics
An official AI chat can leave four record candidates: the prompt, uploaded source file, generated draft, and vendor log. Agencies need retention and export controls before employees start using it.
Irene Vasko · 8 min read

AI Governance & Ethics
A New Jersey employer’s obligations can change when an applicant crosses a state line or encounters a different screening tool. Build the notice map around each decision point.
Irene Vasko · 8 min read

AI Governance & Ethics
A visible badge, file metadata, generation log, and signed Content Credential answer different questions. Cropping and reposting expose the gaps between them.
Irene Vasko · 8 min read

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 · 8 min read

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
Replacing a voice model does not reset the permission attached to its source recording. Teams need a consent receipt that follows the sample, each derived model, and every generated file.
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
A support-ticket summary may pass through six companies even when the settings page names one. Trace the full route before prompts, attachments, and logs contain customer data.
Irene Vasko · 8 min read

AI Governance & Ethics
An exclusion request tied only to a URL or embedded tag can vanish after scraping. Operational opt-outs need durable identifiers, copy lineage and deletion receipts.
Irene Vasko · 8 min read

AI Governance & Ethics
A signed agreement can cover Amazon Bedrock while leaving prompt logs, application code, and downstream tools outside a safe design. The unit to review is the full data path.
Irene Vasko · 9 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 model card cannot explain why a customer was denied a credit limit increase. This decision-level template connects affected people, harms, controls, evidence, and appeals.
Irene Vasko · 8 min read