By Latitudes Training, Coaching & Consulting · Published · Updated
Who is responsible for an AI-assisted decision?
Name a person who owns the task and a person who can review its output. They may be the same person in a small business, but the responsibility should still be clear. A tool's suggestion does not transfer accountability away from the business.
Distinguish preparation from decisions that affect people. Drafting a general FAQ is different from selecting an employee, assessing a customer or making a financial recommendation. Higher-impact uses need a more careful review of suitability and applicable obligations before a pilot begins.
What information is appropriate to share?
Use the least information required for the task. Start with approved, non-sensitive samples while you evaluate a provider. Review what is stored, who can access it and what the account settings actually control.
Do not assume that a paid plan permits every upload. Consider customer expectations, contracts, confidentiality and your own policies. If you cannot establish that information is appropriate to share, remove it from the trial and get the relevant privacy or legal guidance.
- List the information the tool will receive.
- Identify where the output and any recordings will be stored.
- Limit integrations to the access the task needs.
- Decide who can delete, export or share the records.
How will you check accuracy before using an output?
Choose a review method before generating the result. For an email, compare it with approved source notes. For meeting notes, check the recording and participants' intended decisions. For a factual guide, verify unfamiliar claims against primary sources.
Ask the reviewer to look for missing qualifications as well as obvious errors. A draft can sound convincing while changing an offer's meaning or omitting a condition. Asking a tool whether its own answer is correct is not an independent check.
How can you look for unfair or unsuitable assumptions?
Review whether the output makes assumptions about people that the task does not justify. In an illustrative marketing draft, a tool might describe every reader as having the same schedule, budget or level of technical confidence. Revise that language to reflect the real audience.
Use varied test cases where appropriate, and ask who is missing from the review. A quick sample is not proof that a system is fair. For decisions affecting employment, access or other significant outcomes, obtain appropriate expertise before using AI in the process.
What should customers and collaborators understand?
People should understand the parts of the process that matter to their participation or decisions. Explain recording and transcription before a meeting. Do not present generated work as a real customer quotation, a firsthand experience or a photograph of a completed job.
Disclosure needs depend on the context and applicable requirements. Write clear explanations of what the tool does and how a person can ask a question or correct an error. Review uncertain obligations with an appropriate advisor.
What belongs in a responsible AI pilot?
Set a narrow purpose, a review step and a stopping point. Record the tool and settings, permitted inputs, who reviews the result, and what you will measure. Test exceptions before using the process in everyday work.
For an illustrative FAQ-drafting pilot, provide approved service notes and require every answer to be checked before publication. If the tool repeatedly adds unsupported promises, revise the brief or stop the trial. Do not publish simply because a draft is available.
- Purpose: one specific task and the expected benefit.
- Boundaries: permitted inputs, access and outputs.
- Review: named owner and approval requirements.
- Evaluation: quality, effort, errors and effects on people.
- Response: how to pause, correct and communicate a problem.
Where does NIST's AI framework fit?
The National Institute of Standards and Technology provides a voluntary AI Risk Management Framework and a companion Playbook. They organize risk work around Govern, Map, Measure and Manage. Use them to help frame questions about a proposed use.
A small business can begin with a task record and an owner, then seek specialist support where the use requires it. Referencing NIST does not certify a tool, establish legal compliance or guarantee that a particular workflow is appropriate.
Frequently asked questions
Do small businesses need an AI policy?
A short written policy can help a team agree on permitted tools, information handling, human review and responsibility. Match its detail to the uses and risks involved. Get qualified guidance where contracts, regulated activities or legal obligations require it.
Does human review make every AI use acceptable?
Human review helps only when the reviewer has the expertise, information and authority to assess the result. Some uses may be unsuitable even with a reviewer. Evaluate the task and its possible effects before deciding whether to use AI.
Is using the NIST AI framework a compliance certification?
No. NIST's AI Risk Management Framework is voluntary guidance for managing AI risks. It does not certify a business or replace the legal, privacy or professional review that a particular use may require.
General education. Examples and prompts are illustrative. Check current vendor features, terms and settings before use. For legal, medical or other professional decisions, consult an appropriately qualified person.