FOR HIGHER-EDUCATION FACULTY & STAFF

Turn AI uncertainty
into considered action.

A managed learning pilot for teams facing real decisions about AI, teaching, assessment, and institutional practice.

Give your sponsor an inspectable account of participation, applied reasoning, review outcomes, and what still needs work.

Discuss your pilot ↗View the sample report →
THE EVIDENCE RECORD Illustrative example
APPLIED DECISION BRIEFv1.0

Should AI assist with assessment feedback?

A decision you can explain.
A record others can examine.

01
Evidence & uncertaintySources, assumptions, limits
02
People & consequencesStakeholders, risks, alternatives
03
Safeguards & accountabilityHuman authority, review, stop rules
Human review is a separate decisionLearner evidence → reviewer rationale → revision
Sources · Versions · Review historyExplore the sample report →
15–25participants
4–6 weeksrecommended window
Oneshared decision context
Humanindependent review

A FOCUSED FIRST STEP

A clear scope.
A useful outcome.

Start with one cohort and one question: how should your team use AI in a particular teaching, assessment, or policy context? Together, we define the learning, evidence expectations, review responsibilities, and sponsor reporting before enrollment.

WHAT WE PLAN WITH YOUR SPONSOR

From learning to a decision brief.

A purposeful learning path

Select existing courses in AI ethics, responsible AI in higher education, and ethical reasoning to fit the decision your cohort faces.

Applied work & human review

Participants examine evidence, stakeholders, alternatives, and safeguards in an authentic decision brief. Agree review and revision arrangements in the pilot scope.

A sponsor closeout report

Discuss participation, submitted evidence, reviewer findings, recurring gaps, and next steps. Use aggregate reporting to protect private learner work.

PRACTICAL COHORT DELIVERY

Keep the work
and its context together.

We agree the assignments, timelines, assessment approach, review arrangements, and reporting with your sponsor. This website presents the offer; account creation and self-service product access are not open. Scenario scores, independent review, and credential decisions remain distinct.

Inspect the sample report →
  1. 01

    Define

    Agree the cohort, decision, scope, and privacy requirements.

  2. 02

    Learn & apply

    Work through published learning and produce an applied brief.

  3. 03

    Review & reflect

    Examine the evidence and record feedback and revisions.

  4. 04

    Decide what comes next

    Use the closeout report to consider another cohort or further work.

CRITICAL THINKING IN PRACTICE

A method your team can return to.

  1. 01

    Evidence

    Find support. Name uncertainty.

  2. 02

    Deliberation

    Test assumptions and alternatives.

  3. 03

    Revision

    Respond to objections. Improve the claim.

  4. 04

    Human review

    Record a judgment and its rationale.

IS THIS A FIT?

For teams that need
to explain their decisions.

A useful starting point for teaching-and-learning leaders, faculty-development teams, and sponsors of institutional AI initiatives.

Bring to the first conversation

  • A named sponsor and a manageable cohort
  • A real AI-use or assessment question
  • The evidence you want the pilot to produce
  • Your review, accessibility, and privacy requirements

Scope, pricing, review capacity, and delivery arrangements are agreed before enrollment.

ONE COHORT. ONE CLEAR NEXT STEP.

Make responsible AI
a thoughtful practice.

Start a conversation about your team, the decision you face, and the evidence you need.

Discuss your pilot ↗View the sample report

The pilot does not promise legal compliance, accreditation, CEUs, or external certification. Framework mappings and assessment results are bounded evidence, and do not establish workplace performance. Review the governance boundaries →