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Idaho AI Classroom
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AI ImpactEthics and Privacy9-12.AII.EP.1

After the Flood: GenAI in Every Subject

11–1250 minutes90 minutes (extend seminar and writing)

Standard quoted exactly

Evaluate the ethical implications of how AI has changed since GenAI has become commonplace.

Example from the standards. Each content area can focus on how GenAI has impacted and changed aspects within their field (like writing, music, art, social media, math, etc).

Student-friendly learning targets

  • I can explain how commonplace GenAI changed work in at least two school subjects, using dated evidence rather than opinion.
  • I can distinguish academic-honesty issues from broader ethical questions of authorship, labor, credit, and assessment validity.
  • I can evaluate a proposed classroom or workplace use of GenAI and argue whether it preserves or undermines human thinking.

Essential questions

  1. What, exactly, changed in writing, art, music, mathematics, and public conversation once GenAI became ordinary?
  2. Which ethical costs belong to cheating, and which belong to authorship, labor, and what teachers can still see of student thinking?
  3. How should an Idaho classroom keep human judgment in charge without pretending the flood can be reversed?

Objectives

  1. Compare a pre-2022 and a post-2022 version of the same academic task in two content areas and name the ethical shift in each.
  2. Evaluate a GenAI use case using four lenses: authorship, labor and pay, assessment validity, and effects on public discourse.
  3. Cite at least two dated sources (policy, syllabus, artist or workplace statement) when claiming that a field has changed.
  4. Recommend one subject-specific practice that keeps the intended thinking visible to a teacher, coach, or employer.
  5. Apply district-approved-tool rules and FERPA limits to any live demonstration used in class.

Key vocabulary

Generative AI (GenAI)
Systems trained to produce new text, images, audio, code, or other media from a prompt, rather than only classifying or predicting a label.
Authorship
The question of who is responsible for a work’s ideas, wording, and claims, including who may take credit and who may be held to account.
Assessment validity
Whether a task still measures the skill it was designed to measure after students can obtain fluent output from a tool.
Cognitive offloading
Handing a thinking step to a tool. Helpful when the goal is speed; harmful when the assignment existed to grow that thinking.
Synthetic media
Text, images, audio, or video created or heavily modified by AI, often hard to distinguish from human-made work at a glance.
Commonplace adoption
The period after a technology leaves specialist labs and becomes an ordinary option in consumer software, schools, and workplaces.
Human-in-the-loop
A design in which a person sets the purpose, checks the output, and remains responsible for the decision that follows.

Teacher background

When consumer chatbots and image generators arrived in late 2022, they did not stay inside computer science. Idaho students now meet generative AI in the word processor, the studio, the notation app, the graphing tool, and the social feed. This lesson treats that shift as an ethical event. The standard asks students to evaluate implications of how AI has changed since GenAI became commonplace, and the state's example points teachers toward writing, music, art, social media, and mathematics. Ethics here is larger than cheating. Authorship, credit, labor, assessment validity, and the volume of synthetic text in public life all belong in the room. A junior who pastes a prompt and submits the result has not practiced the thinking the assignment was designed to grow. A senior who uses a district-approved tool as a second reader, then revises with a human teacher, is doing something different. Students must name that difference and defend a position with dated evidence: a syllabus, a workplace rule, an artist statement, a school policy. Keep the tone civic. Do not preach that GenAI ruined school, and do not sell it as inevitable progress. Pair pre-2022 and post-2022 artifacts. If live tools are blocked or bandwidth is thin, print the artifacts. Never upload student essays, names, or grades to an unapproved service. FERPA still governs education records, and Idaho districts decide which tools are approved.

Materials and prep

Materials

  • Printed station packets: Writing, Music, Art, Social media, Mathematics (one folder per table).
  • Paired artifacts for each station: a pre-2022 task and a 2024–2026 version of a similar task, with dates visible.
  • Four-lens evaluation card: Authorship / Labor and pay / Assessment validity / Public discourse.
  • Excerpt of the school or district acceptable-use policy and the list of approved digital tools, if one exists.
  • Timer, sticky notes, and a board space titled What changed / What should not change.
  • Offline fallback: all live demos replaced by printed screenshots of GenAI output already collected by the teacher; no student accounts required.

Before class

  • Confirm whether any district-approved GenAI tool may be shown. If not, run the entire period on paper.
  • Date every artifact. Undated screenshots invite folklore instead of evaluation.
  • Remove student names from any sample work. Use public or teacher-created examples only.
  • Plan table groups of three or four. Assign a recorder, a skeptic, and a timekeeper.
  • For a 90-minute block, add a 20-minute seminar after independent practice and a 20-minute evidence paragraph; keep the same success criteria.

Instructional sequence

Date the flood

5 min
  1. Display two unlabeled writing samples of similar length: one clearly pre-chatbot student draft (awkward, specific, local) and one fluent generic GenAI paragraph on the same prompt.
  2. Students vote silently: Human 2021, Human 2026, or Tool 2026. Do not reveal the key yet.
  3. Collect two sentences on scrap paper: What would have to be true for this to be honest work? What would have to be true for a teacher to still see the student’s thinking?
  4. Tell students the standard in full and that today’s job is evaluation, not a product review.

Four ethical lenses, not one honesty rule

10 min
  1. Write the standard on the board. Underline ethical implications and since GenAI has become commonplace. The comparison is historical, not hypothetical.
  2. Teach the four lenses with a single Idaho English example: a junior research paper. Authorship (who wrote the claims). Labor (who used to be paid to copy-edit or illustrate). Assessment validity (does the paper still show research skill). Public discourse (what happens when the same fluent filler fills letters to the editor).
  3. Show the standards example: each content area can focus on writing, music, art, social media, math. Tell students they will rotate through those fields, not stay in computer science.
  4. Name the trap: treating every GenAI question as cheating. Cheating is one implication. It is not the whole map.
  5. State the privacy rule before any tool talk: no student names, grades, or essays enter an unapproved system.

Work one station together

10 min
  1. Project the Writing station: a 2019 peer-conference protocol versus a 2025 assignment that allows a district-approved chatbot as a second reader with a required process log.
  2. As a class, fill the four-lens card. Push for specifics: who is credited, who is unpaid, what the teacher can still see, what happens if the log is fake.
  3. Model citing a dated source. A 2025 university syllabus or a district academic-integrity addendum beats I heard everyone uses it.
  4. Ask one challenge question: If the process log is required, has the ethical problem been solved or only documented?

Evaluate two fields

12 min
  1. Pairs take two remaining stations (Music, Art, Social media, or Mathematics) and complete a four-lens card for each.
  2. Require one dated artifact citation per station. If the packet has none, students must write what evidence they would need and why the claim is incomplete.
  3. Each pair writes a six-sentence evaluation: what changed, what ethical cost appeared, what practice would keep human thinking visible.
  4. Circulate with a clipboard: check that students are using the lenses, not writing GenAI is good/bad.

Real-world examples

  • An Idaho English department that still requires in-class handwritten first drafts for certain essays, then allows a spell-checker on the typed revision.
  • A high-school band that uses an AI mastering plug-in for a pep-band recording and must decide whether the mix is student work for a contest.
  • A yearbook staff using generative fill on photos of a football crowd, raising questions about whether people who were not there appear to have been there.
  • A math class in which a chatbot produces a fluent but wrong proof of a trig identity, and the student cannot find the invalid step.
  • Local Facebook groups and campaign pages flooded with generic synthetic comments during a school-bond discussion.

Hands-on activity

Gallery of what changed

8 min
  1. Post one claim from each station on the board under What changed and What should not change.
  2. Students add a sticky note that either cites the packet or challenges the claim as undated.
  3. Quick stand-up: one student from Writing and one from Mathematics read a recommended classroom practice.
  4. If the period is short, skip the stand-up and collect the four-lens cards as the artifact.

Discussion questions

  1. Is a student who uses GenAI to outline a history paper and then writes every sentence themselves doing the same ethical act as a student who submits the outline’s prose?
  2. If an AI image generator can imitate a living Idaho illustrator’s style, who owes whom what?
  3. Should a mathematics teacher ban chatbots, redesign tasks, or do both? What evidence would tell you the choice is working?
  4. When synthetic comments fill a public hearing record, whose speech is being amplified, and whose is being drowned?
  5. What is the difference between a tool that checks work and a tool that replaces the work the course exists to teach?

Differentiation

Support

  • Provide sentence frames for the four-lens card: The dated source shows… The ethical cost is… A practice that keeps thinking visible is…
  • Allow students to evaluate one station in depth instead of two if processing speed is a barrier.

Challenge

  • Ask students to draft a one-page content-area addendum for English, art, or mathematics that a department could actually vote on.
  • Require a counter-argument: name the strongest case that GenAI improved access or feedback quality, then answer it.

Multilingual learners

  • Pre-teach authorship, validity, and commonplace. Provide the four-lens card in English with space for notes in the student’s strongest language.
  • Invite comparison to how translation tools changed writing in a first language, without requiring students to disclose immigration status.

IEP / 504

  • Offer oral dictation of the six-sentence evaluation to a scribe or speech-to-text on a district device that does not send work to a consumer model.
  • Print large-type packets. Do not require simultaneous reading of two dense artifacts; sequence them.

Assessment

Formative

  • Four-lens cards checked for use of dated evidence rather than slogans.
  • Warm-up scrap sentences collected as a pre-assessment of honesty versus thinking.

Summative

  • Six-sentence evaluation of two content areas, scored on lenses used, evidence dated, and a concrete recommended practice.
  • Block extension: a 300-word seminar paper answering whether GenAI changed the purpose of a chosen course.

Success criteria

  • Names a specific change in at least two fields after GenAI became commonplace.
  • Uses at least two of the four ethical lenses with a dated citation.
  • Proposes a practice that keeps human thinking visible rather than only a ban or only permission.

Responsible use, ethics, and privacy

Responsible use

Use only district-approved tools, and only with teacher-provided prompts. Students do not need personal GenAI accounts for this lesson. If a live demo is used, the teacher runs it on a school account and projects the result. Offline fallback is the intended default in buildings with blocked sites or thin bandwidth: printed, dated artifacts are sufficient to meet the standard.

Ethics

The ethical task is evaluation of a historical change, not loyalty to a brand or a ban. Students should be able to hold two facts at once: GenAI can give faster feedback, and it can hide whether a student ever did the thinking the course exists to grow. Credit, labor, and public discourse are in scope. Mockery of classmates who use or refuse tools is out of scope.

Privacy

FERPA protects education records, including student essays, grades, and identifiers. Do not paste student writing, names, or ID numbers into a consumer chatbot. Do not ask students to upload personal work for a class demo. Public or teacher-created samples only. Directory information is still not a license to feed a class roster to a model.

Reflection

  1. Which lens was hardest to apply, and what evidence would make it easier next time?
  2. Where in your own courses do you already use GenAI, and what thinking might be getting skipped?
  3. What should a teacher still be able to see in your work if a tool is allowed?

Homework

Bring one dated artifact from a class you take (syllabus line, rubric, contest rule, or assignment sheet) that either names GenAI or is silent about it. Write eight sentences evaluating the ethical implication of that silence or that rule. Do not upload the artifact to a tool; mark it on paper.

Closing

Reveal the warm-up key. Restate that commonplace GenAI changed more than the cheating conversation. Collect four-lens cards. Tomorrow’s question is not whether tools exist; it is who the door of those tools actually opens for.

Extensions and cross-curricular links

Go further

  • 90-minute block: 20-minute Socratic seminar on whether assessment validity can be repaired without banning tools, then 20 minutes of evidence writing.
  • Invite a teacher from art, music, or mathematics to spend eight minutes describing what they can no longer see in student work.
  • Compare this district’s academic-integrity language from 2019 and the current version; annotate what was added after GenAI.
  • Track one Idaho news comment thread for a week and tally likely synthetic versus specific local posts (no scraping of personal profiles).
English Language Arts
Process logs, in-class drafting, and citation of tools as sources of language, not of authority.
Visual and performing arts
Style imitation, contest rules, and whether a generated image or mix meets the course’s definition of original work.
Mathematics
Proof and worked reasoning as the thing the course teaches; fluent wrong answers as an assessment-validity problem.
Civics / media
Synthetic comments in local public comment, school-board hearings, and campaign pages.