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The HUMAN-HEART framework for educators

A clear path from AI rules to visible learning.

Educator quick reference

How HUMAN and HEART work together

HUMAN-HEART is Mike's instructional design framework for AI-resilient teaching. It starts with governance: what policy, privacy, and access allow. Those rules apply throughout, and learners' AI literacy is checked before a HUMAN mode is assigned. HUMAN then asks what the learner must remain responsible for, with five modes: Hone (work independently), Use (direct AI as an intern), Mediate (check and correct), Align (justify within rules), and Navigate (govern the workflow). HUMAN is a set of choices, not a ladder. You choose the mode that fits the outcome. HEART asks how teaching and assessment will reveal that responsibility: highlight the outcome, examine AI vulnerability, assign the HUMAN mode, refocus assessment design, and test for integrity and transference. We do not set the regulatory floor for your context. We help you recognize the one your institution already operates under and design around it. The goal is demonstrated human capability, judgment, and accountability, in courses and assignments where AI reinforces academic integrity rather than eroding it.

AI Engines HUMAN/HEART educator quick reference: Governance first, then the five HUMAN modes for what the learner stays responsible for, then the five HEART steps that make it visible in teaching and assessment.
How HUMAN and HEART work together: an educator quick reference.
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Educator quick reference

How HUMAN and HEART work together

A clear path from AI rules to visible learning.

1. Governance: what do policy, privacy, and access allow?

Rules apply throughout. Check AI literacy before assigning a HUMAN mode.

2. HUMAN: what must the learner remain responsible for?

  • Hone: Work independently
  • Use: Direct AI as intern
  • Mediate: Check and correct
  • Align: Justify within rules
  • Navigate: Govern the workflow

Choose the mode that fits the outcome. HUMAN is a set of choices, not a ladder.

3. HEART: how will teaching and assessment reveal that responsibility?

  1. Highlight the outcome
  2. Examine AI vulnerability
  3. Assign the HUMAN mode
  4. Refocus assessment design
  5. Test integrity + transference

At HEART's A step, select a HUMAN mode; then look for reasoning, judgment, and transference.

Goal: demonstrated human capability, judgment, and accountability.

1. Governance: what do policy, privacy, and access allow?

Rules apply throughout. Check AI literacy before assigning a HUMAN mode.

2. HUMAN: what must the learner remain responsible for?

  1. Hone

    Work independently

  2. Use

    Direct AI as intern

  3. Mediate

    Check and correct

  4. Align

    Justify within rules

  5. Navigate

    Govern the workflow

Choose the mode that fits the outcome. HUMAN is a set of choices, not a ladder.

3. HEART: how will teaching and assessment reveal that responsibility?

  1. Highlight

    the outcome

  2. Examine

    AI vulnerability

  3. Assign

    the HUMAN mode

  4. Refocus

    assessment design

  5. Test

    integrity + transference

At HEART's A step, select a HUMAN mode; then look for reasoning, judgment, and transference.

Goal: demonstrated human capability, judgment, and accountability.

HEART lens: Education

Academic integrity. Learning outcome preservation. AI that reinforces what students are meant to demonstrate, never replaces it.

Practical AI for K-12 and higher ed faculty

Regulations that already apply to your work

FERPA. State student privacy laws. District AI-use policy. Institutional academic integrity standards.

We do not set this floor. We help you recognize it and design around it. Read our full AI disclaimer.

A separate custom engagement

HUMAN-HEART is purpose-built for education contexts. It runs as a separate, custom engagement, not as part of the AI Foundations workshop.

See the services page to start a conversation about a HUMAN-HEART engagement for your school, department, or district.

HUMAN-HEART framework: questions

What is the HUMAN-HEART framework?
HUMAN-HEART is Mike's instructional design framework for AI-resilient teaching. It starts with governance: what policy, privacy, and access allow. Those rules apply throughout, and learners' AI literacy is checked before a HUMAN mode is assigned. HUMAN then asks what the learner must remain responsible for, with five modes: Hone (work independently), Use (direct AI as an intern), Mediate (check and correct), Align (justify within rules), and Navigate (govern the workflow). HUMAN is a set of choices, not a ladder. You choose the mode that fits the outcome. HEART asks how teaching and assessment will reveal that responsibility: highlight the outcome, examine AI vulnerability, assign the HUMAN mode, refocus assessment design, and test for integrity and transference. We do not set the regulatory floor for your context. We help you recognize the one your institution already operates under and design around it. The goal is demonstrated human capability, judgment, and accountability, in courses and assignments where AI reinforces academic integrity rather than eroding it.
What comes first in the HUMAN-HEART framework?
Governance: what do policy, privacy, and access allow? Rules apply throughout. Check AI literacy before assigning a HUMAN mode.
What are the five HUMAN modes?
HUMAN asks what the learner must remain responsible for. Hone: Work independently. Use: Direct AI as intern. Mediate: Check and correct. Align: Justify within rules. Navigate: Govern the workflow. Choose the mode that fits the outcome. HUMAN is a set of choices, not a ladder.
What are the five HEART steps?
HEART asks how teaching and assessment will reveal that responsibility. Highlight the outcome. Examine AI vulnerability. Assign the HUMAN mode. Refocus assessment design. Test integrity + transference. At HEART's A step, select a HUMAN mode; then look for reasoning, judgment, and transference.
Is the HUMAN-HEART framework part of the AI Foundations workshop?
HUMAN-HEART is purpose-built for education contexts. It runs as a separate, custom engagement, not as part of the AI Foundations workshop.