Communicate AI-Assisted Work to Stakeholders
As AI becomes embedded in professional work, the ability to communicate clearly about its role is essential for building trust. Professionals who explain AI-assisted processes without hype or alarm create the confidence that enables broader adoption. Poor communication about AI, whether overselling or underselling, erodes credibility and stalls organizational progress.
Proficiency Level
This is a preview of how skill assessment works in Admire
Measurable Behaviors
Each behavior is directly observable and can be assessed through manager observation. In Admire, these drive evidence-based skill tracking.
Adapt AI Explanations for Different Audiences
Adjusts vocabulary and depth for technical vs. non-technical stakeholders.
Disclose AI Assistance Where Required
Follows organizational guidelines for consistent, appropriate AI disclosure.
Explain AI Contributions in Plain Language
Describes AI's role clearly without jargon or technical complexity.
Proactively Address Common AI Misconceptions
Corrects myths about AI with patience and evidence when they arise.
Set Realistic Expectations About AI Capabilities
Frames AI capabilities honestly to prevent inflated expectations.
This is a preview of how behavior tracking works in Admire
Mastering Stakeholder Communication About AI
A practitioner who excels here explains AI's contribution in plain language, sets realistic expectations for different audiences, and proactively addresses misconceptions. They disclose AI assistance where norms or professional standards require transparency, building trust through honest communication rather than either hiding or overstating AI's role.