Skip to main content
AIEM theory walkthroughStep 7 of 13: What you hold to

Need a different explanation?

Ask the AIEM tutor, or clear this short walkthrough and begin again.

AI Engagement Model · interactive theory walkthrough

Step 7 of 13

Principles: what you hold to while it runs

Six rules for making sound engagement choices. They are what separates the same mode done well from the same mode done badly.

About 20–30 minutes · 13 named steps · research detail is optional

A principle here is a standing control policy. Monitoring tells you what is happening; a principle is what you have decided to protect or do about it. Dispositions make some of these policies easier to sustain, while task conditions determine which ones matter most.

This layer explains a fact the mode list cannot. Two people can both use Production Assistant and end with different consequences. One establishes criteria, preserves voice, and checks the result. The other accepts polish as proof. Same mode, different principles.

Principles are therefore proposed mediators between what a person tends to bring and which functions they select. They guide behavior; they do not guarantee it.

Co-production context

Person, AI tool, task, and context jointly shape each episode.

1

Dispositions

What tendencies does the person bring?

  • Intellectual Humility
  • Internal Locus of Evaluation
  • Investment in Process
  • Tolerance for Ambiguity
  • Tinkering Disposition

2

Principles

What rules guide the person's choices?

  • Authorship
  • Productive Friction
  • Calibrated Trust
  • Dialogue
  • Voice Preservation
  • Reflection

3

Eight modes

What function is the interaction performing?

This part appears in full when the walkthrough reaches it.

4

Outcomes

What may strengthen or weaken?

This part appears in full when the walkthrough reaches it.

Proposed enabling links, not deterministic predictions

  • Humility can support Calibrated Trust and Reflection.
  • Internal evaluation can support Authorship and Voice Preservation.
  • Process investment can support Productive Friction and Reflection.
  • Ambiguity tolerance can support Dialogue and Productive Friction.
  • Tinkering can support Dialogue, Reflection, and trying alternatives.
The diagram now adds the control policies through which dispositions are proposed to influence mode choice. *Flourishing remains a theoretical long-run outcome.

The six, and what each rests on

Two of these draw on sources already introduced on the theory step, used for a narrower job here.

Supports Authorship

  • Psychological ownership

    What it established. People come to feel that something is theirs through three routes — controlling it, coming to know it intimately, and investing themselves in it — and that feeling changes how responsibly they treat it.

    What it licenses here. Why authorship is a principle rather than a legal question about credit. All three routes run through the parts of the work AI most readily absorbs, which predicts that ownership weakens quietly as delegation grows unless it is deliberately held.

    Pierce, J. L., Kostova, T., & Dirks, K. T. (2003). The state of psychological ownership: Integrating and extending a century of research. Review of General Psychology, 7(1), 84–107. Source

Supports Productive Friction

  • Desirable difficulties

    What it established. Practice conditions that slow acquisition and feel worse at the time often produce better long-term retention and transfer than conditions that make performance smooth immediately.

    What it licenses here. The principle's whole content: not all friction is waste, and removing it is a choice with a cost that shows up later. It does not license treating friction as good in itself — the finding is about specific manipulations, and an obstacle that teaches nothing is just an obstacle.

    Schmidt, R. A., & Bjork, R. A. (1992). New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science, 3(4), 207–218. Source

Supports Calibrated Trust

  • Trust as appropriate reliance

    What it established. The goal is not more trust or less trust in an automated system but trust matched to its actual reliability. Both over-reliance and under-reliance are failures, and each has its own costs.

    What it licenses here. Why the model refuses to treat reliance as a deficit or independence as a virtue. Calibration is the target, and it is the reason Verification is a mode rather than a personality trait.

    Lee, J. D., & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46(1), 50–80. Source

Supports Dialogue, not Transaction

  • Initiative belongs to both parties

    What it established. Useful systems are not vending machines. Either party can take the initiative, and the interaction is a negotiated sequence rather than a request and a response.

    What it licenses here. Why the single-shot prompt is treated as a missed opportunity rather than merely an inefficient one: the part of the exchange where the person's own question gets reshaped only exists across turns.

    Horvitz, E. (1999). Principles of mixed-initiative user interfaces. Proceedings of CHI '99, 159–166. Source

Supports Voice Preservation

  • Writing as a process with a writer in it

    What it established. Writing is not transcription of finished thought. It is a recursive process of planning, translating and reviewing in which goals are discovered and revised while writing, not before it.

    What it licenses here. Why voice is a principle and not a stylistic preference. If goals are formed during composition, then handing composition over hands over some of the goal-setting too — the loss is not decorative. It does not license the claim that AI-assisted writing always costs voice; it identifies where the cost would occur.

    Flower, L., & Hayes, J. R. (1981). A cognitive process theory of writing. College Composition and Communication, 32(4), 365–387. Source

Supports Reflection

  • Metacognitive monitoring

    What it established. People can monitor and regulate their own cognition, and this capacity develops, can be taught, and is frequently poor when left to itself.

    What it licenses here. The principle that compounds the others: examining your own engagement as a site of learning is what turns any of the five above into something durable. Together with Schön it is the mechanism behind the Becoming loop.

    Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. Source

Six principles is not a checklist

You cannot hold all six at full strength in one exchange, and trying is a good way to stop working.

They also trade against each other. Productive Friction says keep the resistance; Dialogue says stay in the exchange rather than grinding alone. Voice Preservation and Calibrated Trust pull in opposite directions when the model is genuinely better than you at the thing in question.

The skill is knowing which one this task needs. That judgment is not itself a principle, which is the honest limit of this layer.

Dispositions are what you bring, principles are what you try to hold to, and the eight modes are the observable functions that result. The next step explains why there are eight, how to sequence them, and why learner sequences often need more scaffolding.

Quick check

You are working on a hard problem. Which is true of the six principles?