Topic archive
Plain-English coverage of AI privacy, scams, risk, regulation, consumer protection, and safety updates.
EU AI transparency duties began applying August 2. Small businesses should inventory customer-facing AI and synthetic content before assuming a vendor handles it.
EU AI Transparency Rules Take Effect: What Small Businesses Should Check Read More »
Content Credentials provide signed, tamper-evident provenance. They can reveal history and edits, but they do not prove truth, ownership, or identity.
Can Content Credentials Prove an Image Is Real? Read More »
Check the exact system, intended use, evaluation setup, limitations, mitigations, update history, and what was not disclosed or tested.
How to Read AI Model Cards and System Cards Read More »
Match human oversight to impact, reversibility, audience, data, and autonomy instead of adding a vague human-in-the-loop label.
When AI Needs a Human: A Simple Approval Matrix Read More »
Before paying for or trusting an AI vendor, collect dated evidence about data, dependencies, security, terms, support, changes, and offboarding.
AI Vendor Due Diligence: A Checklist for Small Teams Read More »
AI cybersecurity threats are easier to understand when you group them into data, access, prompts, deployment, and monitoring problems.
AI Cybersecurity Threats in Plain English Read More »
Browser AI agents need guardrails because they can read web pages, follow instructions, and sometimes take actions in places where mistakes matter.
Browser AI Agents Need Guardrails Read More »
Small businesses can use AI more safely by keeping customer data out of prompts, limiting tool access, checking provider promises, and reviewing outputs.
How Small Businesses Can Use AI Without Exposing Customer Data Read More »
AI can make scams sound, look, and read more believable. The safest response is to slow down, verify through a trusted channel, and avoid urgent payments or links.
AI Scams to Watch For Read More »
Synthetic data is artificial data created to resemble some patterns of real data, often for testing, analysis, privacy research, or AI development.
What Is Synthetic Data in AI? Read More »
