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Preview of TOK & AI 11B SIS: The Medical Triage Algorithm Review

TOK & AI 11B SIS: The Medical Triage Algorithm Review

The Medical Triage Algorithm Review is a TOK Strategic Interaction Scenario in which students decide whether a hospital should approve, revise, pause, or reject an AI triage tool after an audit suggests that it may be producing unequal outcomes.A hospital uses an AI system to help prioritize patients for urgent review. The tool is designed to improve efficiency and identify high-risk cases, but concerns arise when staff notice that some patients may be ranked lower because of biased data, proxy
Preview of TOK & AI 6B SIS: The Hiring Algorithm Review

TOK & AI 6B SIS: The Hiring Algorithm Review

TOK & AI 06B SIS: The Hiring Algorithm Review is a classroom-ready TOK Strategic Interaction Scenario that asks students to decide when an AI hiring tool should be trusted, limited, suspended, or rejected. In this simulation, an organization must decide whether to continue using an AI hiring platform after applicants and staff raise concerns that the system may disadvantage qualified candidates with nontraditional backgrounds. The tool appears useful and efficient, but the evidence raises questi
Preview of TOK & AI 6A Discussion:  Can an Algorithm Be Fair?

TOK & AI 6A Discussion: Can an Algorithm Be Fair?

TOK & AI 06A Discussion: Can an Algorithm Be Fair? is a classroom-ready TOK-style discussion activity that asks students to examine whether algorithmic fairness can be separated from the human choices behind rules, data, goals, and consequences. Students compare three short algorithmic decision cases: one system that applies the same rule to everyone, one system that adjusts for unequal opportunity, and one system that combines algorithmic recommendation with transparency and appeal. Students ra
Preview of TOK & AI 11C Bundle: AI Bias + Medical Triage

TOK & AI 11C Bundle: AI Bias + Medical Triage

This TOK & AI bundle combines the Set 11 discussion activity and Strategic Interaction Scenario on AI fairness, bias, medical triage, healthcare algorithms, evidence, values, and responsibility.Included resources:TOK & AI 11A Discussion: Can AI Be Fair?TOK & AI 11B SIS: The Medical Triage Algorithm ReviewTogether, these resources help students move from concept discussion to applied decision-making. First, students examine whether AI can be fair and compare different meanings of fairness, includ
Preview of TOK & AI 6C Bundle: Algorithmic Fairness & Hiring

TOK & AI 6C Bundle: Algorithmic Fairness & Hiring

This TOK & AI mini-bundle gives teachers a ready-to-use mini-unit on algorithmic fairness, bias, criteria, hiring, transparency, and responsibility. Students first examine whether an algorithm can be fair, then apply those ideas in a role-based hiring algorithm review. The bundle includes one TOK-style discussion activity and one TOK Strategic Interaction Scenario. Together, they help students move beyond simple “algorithms are objective” reasoning and practice careful evaluation of fairness cla
Preview of TOK & AI Bundle 2: AI Fairness, Explanation, and Responsibility

TOK & AI Bundle 2: AI Fairness, Explanation, and Responsibility

This TOK & AI course bundle gives teachers a coherent 5-unit sequence on AI fairness, neutrality, explanation, authorship, ethical decision-making, and responsibility. Students examine how AI systems rank people, moderate speech, explain decisions, assign credit, and support high-stakes recommendations.Each unit pairs a TOK-style discussion activity with a Strategic Interaction Scenario. Students first build conceptual vocabulary, then apply those ideas in role-based simulations involving hiring
Preview of TOK & AI Bundle 3: AI Creativity, Institutions, and Responsibility

TOK & AI Bundle 3: AI Creativity, Institutions, and Responsibility

This TOK & AI course bundle gives teachers a coherent 5-unit sequence on AI fairness, creativity, truth, public services, hiring, institutional judgment, and responsibility. Students examine how AI systems influence decisions in medicine, art, journalism, government services, and employment.Each unit pairs a TOK-style discussion activity with a Strategic Interaction Scenario. Students first build conceptual vocabulary, then apply those ideas in role-based simulations involving medical triage, AI
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