AI News and Scam Alerts — March 2026
This month's roundup covers a growing scam trend targeting online shoppers, an update on how schools are approaching AI, and a note on AI-generated reviews.
AI DEVELOPMENTS
Schools are still working out AI policies Most schools across the United States are still developing their approach to AI use in student work. Some have banned it outright, others allow it with disclosure, and many are somewhere in between with no formal policy yet in place. If you have children in school, asking their teachers directly what the current expectations are is still the most reliable way to find out. Waiting for a consistent national standard is not a practical option at this point.
AI detection tools are unreliable Tools that claim to detect whether a piece of writing was produced by AI are widely used but frequently wrong. They produce both false positives — flagging human writing as AI-generated — and false negatives — missing content that was actually produced by AI. Students, educators, and employers should be aware that these tools are not reliable enough to serve as the sole basis for any serious decision.
SCAM ALERT
Fake online storefronts are using AI-generated reviews and product images Fraudulent online shops are increasingly using AI to generate product photographs, write detailed customer reviews, and create the appearance of an established business. The stores typically offer heavily discounted products, collect payment information, and either ship cheap substitutes or nothing at all. Warning signs include prices that seem significantly below market value, reviews that sound enthusiastic but vague, and no verifiable business address or customer service contact. When shopping with an unfamiliar retailer, look for independent reviews outside the site itself before purchasing.
TAKEAWAY
Two reliable habits this month: verify school AI policies directly rather than assuming, and research unfamiliar online sellers through independent sources before entering any payment information.
What Is AI, Really? A Simple Guide for Everyday People
What AI Actually Is: A Plain-Language Guide
You cannot go far online without encountering the term artificial intelligence. It shows up in news headlines, product descriptions, workplace conversations, and political debates. Most people have a general sense that something significant is happening, but far fewer feel confident explaining what AI actually is or how it works. This guide is for that majority.
No technical background is required.
What People Mean When They Say "AI"
When most people say "AI" today, they are referring to software that can perform tasks that once required human intelligence, such as writing, answering questions, recognizing images, or replicating voices. These systems are trained on large amounts of data, which allows them to identify patterns and make predictions.
They do not think or understand in the way humans do. What they do is make sophisticated guesses about what should come next, whether that is the next word in a sentence, the next pixel in an image, or the most likely answer to a question.
You have probably used AI without realizing it. Email spam filters, navigation apps that suggest faster routes, photo apps that recognize faces, and the autocomplete function when you type a message are all powered by AI techniques.
Generative AI: The Kind You Keep Hearing About
The recent wave of public attention is largely focused on generative AI, which refers to systems that create something new rather than simply sorting or retrieving existing information. Chatbots that answer questions, tools that draft emails or summarize documents, and image generators that produce pictures from a text description are all examples.
Generative AI works by learning patterns from large amounts of existing content and then producing new content that follows similar patterns. It is not copying from a single source, and it is not reasoning the way a person would. A useful way to think about it is as a highly capable autocomplete system, one that can handle full paragraphs, images, audio, and more.
What AI Does Well and Where It Falls Short
AI is genuinely useful for sorting and searching large amounts of information quickly, generating drafts that humans can review and refine, and identifying patterns in data that would be difficult to spot manually.
It struggles in ways that are less obvious. AI systems do not understand context the way humans do, particularly when it comes to nuance, tone, or situation-specific judgment. They can perform poorly in situations that differ significantly from their training data. Most importantly, they have no reliable mechanism for knowing when they are wrong. An AI system can state something incorrect with the same confidence it uses to state something accurate.
This is why AI is best treated as a useful starting point rather than a reliable final answer.
Where Scams and Misuse Come In
Because AI can generate text, audio, and images that appear genuine, it has become a tool for fraud. Scammers use it to produce personalized phishing messages that are harder to dismiss as generic, clone voices to impersonate family members or colleagues, and create fabricated images or video that look convincing at first glance.
Content that once had obvious signs of being fake is now more difficult to identify as such. That does not require alarm, but it does require a habit of slowing down before sending money, sharing personal information, or treating something surprising as automatically true. To read more on AI enhanced scams go to AI Scams and Fraud.
Using AI Responsibly
AI tools are widely available and genuinely useful when approached with some basic awareness.
Treat AI-generated output the way you would treat information from an unfamiliar source: useful as a starting point, but worth reviewing before you act on it. Avoid entering sensitive personal information, such as financial details, medical records, or identifying information, into AI tools. If you use AI for work or school, follow your organization's guidelines and be straightforward about how you used it. And keep in mind that AI systems are trained on content created by real people, which carries its own ethical considerations around privacy and consent.
None of this requires avoiding AI. It requires using it with the same critical awareness you would bring to any other information source. To read further into this topic visit Safe and Responsible AI Use.