Staying Safe and Smart with AI
Safe AI use means protecting sensitive information, checking important claims, watching for bias, respecting ownership, and keeping people accountable. These habits belong in every workflow from the first day.
- ·Protect confidential and personal information when using AI tools
- ·Apply a repeatable review checklist to AI-generated work
- ·Know when to stop and involve a manager or subject-matter expert
Before entering information into an AI tool, ask whether you are allowed to share it. Remove customer names, employee records, passwords, unreleased financials, contracts, and other sensitive details unless your organization has approved that specific tool and use. Tool settings and policies can change, so follow current company guidance rather than assumptions.
Review output with a simple checklist: accuracy, evidence, privacy, bias, ownership, and audience. Verify dates, names, calculations, quotations, and links against reliable sources. Check whether the result treats groups fairly and whether you have permission to use supplied or generated material. Edit the final work so it reflects your actual judgment and voice.
Stop and escalate when the task involves legal rights, health, safety, employment decisions, major financial impact, cybersecurity, or information you cannot independently verify. Save important prompts, sources, approvals, and review notes when your organization requires an audit trail. Responsible use is a process, not a warning added after launch.
Key Insights
- Do not enter sensitive data into an unapproved AI service
- Verify consequential claims against reliable original sources
- Review for privacy, bias, ownership, and audience fit
- Escalate high-impact work to qualified people
- Document important sources, approvals, and decisions
Why It Matters
Trust is difficult to earn and easy to lose. Safe habits let an organization gain productivity while protecting customers, employees, intellectual property, and executive accountability.
Practice Exercise
Create a one-page AI review checklist for your team with six headings: accuracy, evidence, privacy, bias, ownership, and approval. Test it on a fictional customer email.