Useful workplace dialogue moves beyond ‘Will AI replace us?’ to specific questions about purpose, tasks, data, monitoring, evidence, workload, expectations, support, responsibility, and recourse.
Plan for this page
Understand the idea, test it actively, then explain it in your own words.
You will leave with
ask concrete questions before and during workplace AI adoption distinguish tool assistance from worker monitoring, evaluation, and automated decisions propose a participation and feedback process that protects candor, learning, correction, and recourse
Time
30 min
Before you begin
General AI Literacy provides useful context, but no coding, management title, or technical role is required.
Do this now
Read the outcomes and useful terms before the first section.
ask concrete questions before and during workplace AI adoption
distinguish tool assistance from worker monitoring, evaluation, and automated decisions
propose a participation and feedback process that protects candor, learning, correction, and recourse
Terms you will use
These definitions prepare you for the reading; you do not need to memorize them.Worker participation
Meaningful involvement of people who perform or are affected by work in defining, testing, evaluating, and revising a change.
Monitoring
Collection and use of information about activity, behavior, communication, location, output, or performance.
Recourse
A practical route to obtain explanation, correction, reconsideration, appeal, support, or remedy after a decision or harm.
01
Start with purpose and boundaries
Ask which problem the system addresses, who requested it, which tasks change, what alternatives were considered, and what evidence supports the proposed use. Clarify whether it drafts, recommends, ranks, monitors, decides, or acts—and which uses are prohibited.
Map data precisely: what enters, where it came from, who may access it, how long it remains, whether it trains or evaluates systems, and whether personal activity becomes performance evidence. General assurances should not replace product-, plan-, region-, and workflow-specific answers.
02
Discuss work conditions, not only capability
Ask how quality, pace, targets, staffing, workload, discretion, accessibility, training, and compensation may change. Who handles exceptions and errors? Is review time included? Can workers refuse unsafe or unauthorized inputs without penalty?
Managers also need honest failure reports. Create channels where workers can surface wrong outputs, hidden labor, customer reactions, security concerns, bias, and skill gaps without being evaluated for slowing adoption. Include contractors and affected users where relevant.
03
Make participation continuous
One announcement is not consultation. Involve domain workers before tool selection, during workflow mapping, in representative pilots, in measure design, and in go/no-go or revision reviews. Record unresolved questions and who owns answers.
Agree on incident response, correction, appeal, fallback, and review dates. Identify legal, regulatory, contractual, professional, accessibility, security, and representation questions requiring qualified local advice. Dialogue does not replace formal rights or duties.
Interactive model
Four workplace question clusters
Selected layerPurpose and task
What problem, user, task, alternative, prohibited use, and intended outcome define the change?
Read the complete text alternative
Purpose and taskWhat problem, user, task, alternative, prohibited use, and intended outcome define the change?
Data and monitoringWhat is collected, inferred, retained, accessed, reused, or connected to evaluation and decisions?
Evidence and conditionsWhich version, population, workflow, baseline, failures, affected groups, and limits were tested?
Work, support, and recourseHow do pace, workload, autonomy, training, accessibility, responsibility, correction, appeal, and fallback change?
Misconception to correct
“Workers resist AI only because they do not understand it, so communication should focus on persuasion.”
Workers may hold essential workflow knowledge and legitimate concerns about data, safety, workload, rights, quality, monitoring, and responsibility. Participation improves evidence and governance.
Active checks
Decide, then compare the reasoning
No grade, score, or streak. Progress records completed learning objects, not your worth or ability.01
A writing assistant also records keystrokes and produces individual productivity scores. What must the conversation include?
02
Which pilot process is most likely to reveal real workflow problems?
Explain back and transfer
Prepare a worker–manager conversation
For one proposed workplace use, write questions about purpose, data, monitoring, evidence, work conditions, training, responsibility, participation, recovery, recourse, and unresolved local duties.
Answer both checks before completing.
Source context
What supports this unit and where it stops
Evidence status: established
AI Literacy: Questions & AnswersEuropean Commission
Official guidance linking literacy to role, context, use, affected people, risk, and harm; workplace law and consultation duties require current local expertise.
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