The archive
133 stories, newest first — page 3 of 6.
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 Industry & Models
Routing routine requests to a cheaper model can lower inference costs. The test is whether the router catches difficult cases without hiding errors or adding intolerable delay.
Tobias Lund · 8 min read
AI Governance & Ethics
A generic denial notice can conceal a gap between a model’s inputs and its stated reasons. This workflow tests reason codes against the decision record before notices go out.
Irene Vasko · 8 min read
AI Governance & Ethics
A checkbox no longer covers the risks of cloning a voice. Products need to verify the speaker, preserve scoped consent, and make revocation change what the model can do.
Irene Vasko · 8 min read
AI Industry & Models
A code sandbox can turn a plausible answer into a reproducible calculation. It also needs strict limits on network access, files, packages, runtime, and output.
Tobias Lund · 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
Agentic AI & Orchestration
A local page, an inert canary, and a mock tool can reveal whether a browsing agent follows instructions it was supposed to treat as untrusted text.
Mara Quintero · 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 Industry & Models
Basic chat requests transferred unchanged in our test. Parallel tools, strict argument schemas, streamed calls and tool results exposed differences that require an adapter.
Tobias Lund · 7 min read
AI Industry & Models
A replacement model can change tool calls, refusals, latency, and tone. Test it against customer-visible outcomes before a provider’s deprecation deadline forces the switch.
Tobias Lund · 7 min read
AI Industry & Models
Computer-use APIs automate software with screenshots instead of dedicated integrations. That broad reach comes with slower loops and less certainty than browser tools that read page structure.
Tobias Lund · 7 min read
AI Governance & Ethics
Crawler blocks, account settings, and license terms can reduce future collection. None should be read as proof that a trained model has forgotten a work.
Irene Vasko · 8 min read
AI Governance & Ethics
A signed BAA can govern protected health information without answering how long audio survives or whether transcripts train models. Trace the data path and test deletion before the first patient visit.
Irene Vasko · 8 min read
AI Governance & Ethics
New scoring inputs, thresholds or model weights can make an annual bias audit poor evidence for the tool now screening applicants. The deployment log should show whether the audited and operating systems still match.
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 vendor’s audit PDF is evidence about a particular test, not a compliance passport. Employers need to match its data, jobs and decision point to the deployment.
Irene Vasko · 7 min read
AI Governance & Ethics
A language model can make decision codes readable, but fluency is not evidence. The safe workflow binds every sentence to factors the decision system recorded as principal reasons.
Irene Vasko · 8 min read
Agentic AI & Orchestration
A local invoice page and synthetic secret can show whether webpage text redirects your browser agent. The useful comparison is between soft instructions and hard tool limits.
Mara Quintero · 8 min read
Agentic AI & Orchestration
A parser error persuaded a sandboxed agent to read a canary token. Typed results and an external action broker stopped the same tool output from becoming an instruction.
Mara Quintero · 8 min read