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AI and You 9-12 / Week 12 / Wednesday
3/6
Week 12 · People of AI and the Final Review

Wednesday

Explorer Lab: Finish the card and register
// Who does the work of AI, and should Harbor Point pilot SH-1?
⏱ about 20 min

Wednesday: Explorer Lab: Finish the Card and Register

The crew spreads twelve weeks of notes across the library table. Sticky notes cover every inch.

Comet groans. "We will never fit all of this on one page!"

Wren straightens a stack of pages. "What does the evidence say? Every rating needs a reason we can point to. If we cannot point to one, we cross it out."

"So the register is only as good as its evidence," Comet says.

Nova projects two empty forms side by side: a one-page card and a nine-row grid. "Would you like a hint?" she asks. "One row at a time. Find the week, find the number."

Comet hands you a fresh sheet. "Reviewer, let's finish this."

Your mission

Today you assemble the full SH-1 model card and the nine-row risk register on paper.

Everything you need is in the tables below, so you can finish even if you missed a week. It is all a made-up example.

Remember: risk combines how likely an event is with how big its consequences would be.

  • Two sheets of paper and a pencil
  • A ruler for the register grid
  • Your notes from earlier weeks, if you have them (optional)
  1. On the first sheet, write the heading SH-1 Model Card. Copy each section from the model card table below in your own short words.
  2. On the second sheet, draw a grid with five columns: Row, Risk, Likelihood, Size of harm, Evidence.
  3. Copy the nine register rows from the table below.
  4. For each row, check that the Evidence column names a week and a fact from the review.
  5. Count how many rows are rated High for likelihood, and how many for size of harm.
  6. Circle the rows rated High for both.

The SH-1 model card, section by section (made up for the story):

SectionWhat the crew wrote
Name and purposeSH-1 (Study Helper, version 1). Answers study questions, writes practice quizzes from notes, checks answers.
Out of scopeNot for grading. Not a replacement for teachers.
Who built it, runs it and checks itBuilt by the builder on a base model from a third party. Run by the school. Checked by the crew and the panel.
Training dataKnown: "public text and study material." Unknown: the sources, the languages, the base model's data.
Test resultsTS-40: 30 of 40 right (75 percent); Spanish 4 of 10. CK-20: 15 of 20 right, 2 false alarms, 3 missed errors.
PrivacyNo names, IDs change weekly, keep topic totals, delete the raw log after 14 days, no training on student questions, tell students what is kept.
SecurityRT-8: 5 passed, 3 flaws (a made-up citation, the planted note, a Spanish answer in English).
LabelsEvery output carries a "Made with SH-1" mark and a footer with the date and notes page.
AccessA paper option for every task; library laptops 9 am to 4 pm; 18 of 120 students have no home access.
OversightQuiz: a teacher approves. Check: second opinion only. A report button and an incident log.

The SH-1 risk register (made up for the story; the ratings are the crew's judgment):

RowRiskLikelihoodSize of harmEvidence
R1ConfabulationHighMediumWeek 5: 7 of 40 TS-40 answers confidently wrong
R2Harmful bias and homogenizationHighHighWeek 6: Spanish 4 of 10; all 12 quizzes four-choice
R3Data privacyHighHighWeek 7: the log stores names, class and time
R4Information securityMediumMediumWeek 8: the planted note was followed
R5Information integrityMediumMediumWeek 9: the wrong-hours SH-1 quiz; the unlabelled heron photo
R6Intellectual propertyMediumMediumWeek 9: QZ-5 copied a paragraph without credit
R7Human-AI configurationHighMediumWeek 11: S14 copied a confident wrong answer
R8Environmental impactsUnknownUnknownWeek 10: no energy information, no agreed method
R9Value chain and component integrationHighMediumWeek 10: base model and its data unknown
COUNT THE REGISTER
  • Read the question.
  • Tap your answer.
How many rows are rated High for likelihood?
How many rows are rated High for size of harm?
Which two rows are rated High for both?
Which row has no evidence for a rating at all?

Rows and the trustworthy characteristics

NIST lists the characteristics of trustworthy AI. It is valid and reliable, safe, secure and resilient, and accountable and transparent.

It is also explainable and interpretable, privacy-enhanced, and fair with harmful bias managed.

Valid and reliable is the base for the others. Accountable and transparent relates to all of them.

MATCH THE ROW TO A CHARACTERISTIC
  • Read the question.
  • Tap your answer.
R3, data privacy, connects most to which characteristic?
R2, harmful bias and homogenization, connects most to which characteristic?
R1, confabulation, connects most to which characteristic, the base of all the others?
On paper, finish your register grid. Circle the two rows rated High for both, and star the row rated Unknown.

A finished card and register, reviewer. That is twelve weeks of evidence on two pages. Tomorrow the crew decides.

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