Scrum.org PSM-AI Cheat Sheet

Review a compact Scrum.org PSM-AI cheat sheet for AI basics, security, ethics, Scrum Master use cases, prompting, facilitation support, and responsible AI traps.

Use this PSM-AI cheat sheet to review responsible AI use in Scrum Master work. Strong answers use AI to support facilitation, learning, transparency, and preparation while protecting data, ethics, Scrum accountability, and team ownership.

Open PSM-AI practice for the free 20-question diagnostic, topic pages, timed mocks, and the full PM Mastery AI-for-Scrum bank.

Exam Snapshot

ItemPSM-AI cue
ProviderScrum.org
ExamProfessional Scrum Master - AI Essentials
Format focus20 questions in 45 minutes
Practice behaviorchoose AI use that is useful, ethical, secure, and consistent with Scrum Master accountability
PM Mastery statuslive practice available

AI-for-Scrum-Master Checklist

AreaWhat to knowCommon trap
AI theorygenerative AI, prediction, prompts, limitations, hallucination, and human reviewtreating AI output as authoritative
Security and ethicsconfidential data, bias, fairness, transparency, privacy, and approved-tool usepasting real sensitive work data for convenience
Scrum Master use casesfacilitation prep, impediment analysis, retrospective ideas, coaching support, and communication draftsletting AI replace team inspection and adaptation
Promptinggoal, role, context, constraints, examples, output format, and review criteriaasking vague prompts and accepting vague output
Scrum accountabilityAI supports human judgment; the Scrum Master and team remain accountableoutsourcing Scrum decisions to generated advice

Must-Know Distinctions

  • AI assistance versus decision authority: AI can support the Scrum Master but cannot own Scrum decisions.
  • Anonymized example versus real data: safer prompts minimize sensitive or identifiable information.
  • Prompt quality versus answer quality: a clear prompt helps, but output still needs review.
  • Generated summary versus empirical evidence: summaries may help prepare, but inspection requires real facts.
  • Facilitation support versus facilitation replacement: AI can suggest structures; people inspect and decide.
  • Ethical risk versus technical risk: bias, privacy, trust, and stakeholder harm matter beyond model performance.

Common Traps

  • Sharing confidential Sprint, customer, employee, or vendor data with unapproved tools.
  • Replacing Retrospective conversation with an AI-written action list.
  • Treating generated coaching advice as neutral or context-complete.
  • Letting AI decide the best Scrum action without Scrum Guide reasoning.
  • Ignoring bias or harm because the output sounds plausible.

Practice Strategy

For every PSM-AI miss, ask whether the issue was data safety, prompt design, Scrum accountability, ethical risk, or Scrum Master stance. If you keep selecting convenience answers, slow down and check privacy, transparency, and team ownership first.

Revised on Monday, May 25, 2026