Editorial transparency
Published BOECL stories citing nist.gov, with a transparent summary of source use.
BOECL
Guide
Build a measurable pilot program that evaluates an AI tool not by its impressive demo, but through real-world work samples, accuracy thresholds, data security, human oversight, and total cost.
Guide
When using AI agents that can write code and run commands, establish a secure workflow that limits repository instructions, secrets, network access, tool permissions, and requires human approval.
Guide
Before buying a robot vacuum, review its camera, microphone, room maps, and cloud account; set it up with minimal data and securely manage sharing, servicing, and resale.
Guide
Determine how electricity consumption data travels from the meter to the mobile app, and securely manage account access, measurement granularity, connected services, and the moving process.
Guide
Before running a language model on your personal computer, measure its memory requirements, verify the source of the model file, restrict network access, and create a safe test environment for sensitive documents.
Guide
When buying a smart camera, television, thermostat, or home appliance, assess the security label’s scope, support period, password policy, and data collection terms together.
Guide
Separate the quantum threat from marketing claims, identify data that must remain confidential for a long time, and create a measurable cryptographic migration plan for devices, services, and organizations.
Guide
Learn about the fundamental concepts, applications, and limitations of artificial intelligence in plain language.
Guide
Practical prompting techniques for getting clearer, verifiable, and more useful responses.
Guide
Methods for assessing artificially generated images, audio, and videos.
Guide
A guide to avoiding misinformation through source comparison and reverse searches.