Who this is for
These are for whoever runs an assessment in your company: an HR or operations lead, an internal project team, or an outside consultant. They come from published research and public bodies.
If you are the manager who asks for an assessment, each entry tells you three things first:
- the question it answers;
- who answers it and how long it is;
- whether you can use it freely.
How well it has been tested comes last on each entry. What the testing levels mean.
Start from your question
- Are we ready as a company? (3)
- How do staff feel about AI? (4)
- What do staff actually know? (3)
- Can people speak up and learn? (4)
- Which tasks could change? (3)
- What will get in the way? (3)
- Is the new way of working taking hold? (1)
21 assessments
Are we ready as a company?
What the company has in place, and whether staff are behind the change.
- Does the company have what it needs to use AI? AI Capability scale Managers, about their own company · 46 questions Free to use and adapt
- Are staff committed to this change, and do they believe it can be done? Organizational Readiness for Implementing Change (ORIC) Staff, about their organization or team · 12 questions Not established
- Are a public body and its people both ready for AI? Dual-level model of AI readiness in the public sector Managers and staff, in a discussion · 4 groups of criteria. The number of questions is not established Free to use and adapt
How do staff feel about AI?
Hopes, fears and trust, in short staff surveys.
- How positive are staff about AI in general? AI Attitude Scale (AIAS-4) Staff, each about their own views · 4 questions Free to use and adapt
- What positive and negative views of AI do staff hold? General Attitudes towards Artificial Intelligence Scale (GAAIS) Staff, each about their own views · 20 questions, or 10 in the short form Free to use, ask before changing
- How far do staff accept AI, and how far do they fear it? Attitude Towards Artificial Intelligence scale (ATAI) Staff, each about their own views · 5 questions Free to use and adapt
- How far do staff trust one named AI system? Trust in Automation Scale, short form (S-TIAS) The people who use that system · 3 questions, or 12 in the long form Free to use and adapt
What do staff actually know?
Knowledge tests with right and wrong answers, and one self-rating to set beside them.
- How do staff rate their own AI skills and their confidence to learn? Meta AI Literacy Scale (MAILS) Staff, each rating their own skills · 34 questions, or 10 in the short version Free to use, ask before changing
- What do staff know about AI, including generative AI? AI Competency Objective Scale (AICOS) Staff, each taking a test · A full and a short version. The number of questions is not established Free to use and adapt
- What do staff know about AI? Scale of Artificial Intelligence Literacy for All (SAIL4ALL) Staff, each taking a test · 56 questions in 4 parts. Each part can be used on its own Free to use and adapt
Can people speak up and learn?
A rollout needs staff to say where the AI is wrong. These show whether they will.
- How well does the organization learn? Dimensions of the Learning Organization Questionnaire (DLOQ) Staff, about their organization · 21 questions in the version tested in Germany Not established
- Where do people feel unsafe to speak up: in the organization, the team or one-to-one? Perception of Psychological Safety scale (PPS) Each employee · 14 questions Free to use and adapt
- How safe does each employee feel at work? Psychological Safety Inventory (PSI) Each employee · 30 questions Ask the authors
- Do people in this team speak up, or stay silent? Composite measure of psychological safety (observation and survey) A trained observer and the team’s members · One observed team meeting, plus a 19-question survey Free to use and adapt
Which tasks could change?
Maps of the jobs and tasks AI could do or help with.
- Which of our roles could AI touch most? AI Occupational Exposure measure (AIOE) Nobody is surveyed · You match your job titles to United States occupation codes Free to use, ask before changing
- In which roles could generative AI take over tasks, and in which could it assist? ILO index of occupational exposure to generative AI Nobody is surveyed · You match your job titles to a standard list of occupations Free to use and adapt
- Which of our own tasks could AI do or help with? TPAH task analysis Nobody is surveyed. Process owners check the results · An analysis from a description of the company and its roles Paid service
What will get in the way?
Interview guides and checklists for finding what will help or block a rollout.
- What will help or block the rollout? Consolidated Framework for Implementation Research (CFIR) People at several levels, in interviews · Interviews on the factors you choose, out of 48 Free to use, ask before changing
- What makes this technology project hard? NASSS-CAT: complexity assessment tools for technology projects The project team, and staff in interviews · Two checklists, a 35-question form and an interview guide Free to use, ask before changing
- Is everything in place before an AI system goes live? AI readiness pre-implementation checklist (SID and ADE) The team responsible for the deployment · A checklist in 8 areas Free to use and adapt
Is the new way of working taking hold?
For use once a rollout has started.
Download this list: CSV · JSON. Free to reuse with credit (CC BY 4.0).
How well each has been tested
Each assessment carries four dots. They answer one question: has anyone checked that it measures what it says it measures? The dots do not show how useful it will be to you.
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Tested in several studies, including by teams other than its authors or in other languages, and the results held up.
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Tested properly, but by one team or in one setting. Nobody independent has yet repeated the test.
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Early testing only: a pilot, an expert review, or tests that found problems still to be fixed.
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No published test of whether it measures what it says it measures.
Interview guides and checklists give no score to test. For those we look at how widely independent teams have used them, and whether that use has been reviewed.
No assessment here has been shown to predict whether an AI project will succeed. See do not treat a maturity score as a forecast. The levels are the same four used for practices: the full rating method.
By kind
- Readiness surveys (4). Is the organization ready for AI, and is a new way of working taking hold?
- Attitude and trust surveys (4). What staff think and feel about AI, and how far they trust it.
- Culture and speaking-up surveys (4). Whether people speak up, admit mistakes and learn together.
- AI knowledge tests and self-ratings (3). What staff know about AI and how well they can use it.
- Task and job maps (3). Which tasks and jobs AI could do or help with.
- Interview guides and checklists (3). Structured questions and checklists for finding what will help or block a rollout.
Before you use one
- Check what you may do with it. Each entry says in plain words whether you can use it freely. The exact licence is lower on each page. Where it is not established, ask the authors first.
- A translation needs testing again. A questionnaire that works in one language may behave differently in another.
- Use more than one source. One person’s answers, or one questionnaire, give a narrow view. See assess readiness from several sources.
- The questions are in the sources. Each page links to the publication where the authors give them.