Begin with a specific purpose and an honest conversation. Explain the task you want to improve, what the experiment will and will not do, and how people can raise concerns. Avoid making promises about future staffing decisions that you are not in a position to keep.
Invite the people doing the work to help choose the trial and judge its results. They often know where errors, delays, and hidden effort occur. Give people time to learn and acknowledge useful feedback. A practical, transparent introduction can build more trust than telling everyone they must embrace AI immediately.
Further reading
- Americans on the risks and benefits of AI in their own words
Pew Research Center · 2025
Context and limits
People describe hopes for saving time and concerns about skills, relationships and control.
These are open-ended survey responses. Figures for a particular group should not be read as figures for all US adults.
Sources explain the background. Examples and suggested next steps are TideProof's own guidance.
- AI Risk Management Framework
National Institute of Standards and Technology · Publication date not established
Context and limits
Guidance on assessing AI risks, protecting information and keeping people accountable for decisions.
The framework was released in January 2023 and its generative-AI profile in July 2024. These are the resources' release dates, not the webpage's publication date. Citing this guidance does not mean TideProof has been certified by NIST.
Sources explain the background. Examples and suggested next steps are TideProof's own guidance.