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Preview of TOK & AI Complete Mini-Course Bundle: 20 Discussion + Role-Based Simulation Unit

TOK & AI Complete Mini-Course Bundle: 20 Discussion + Role-Based Simulation Unit

This complete TOK & AI mini-course bundle gives teachers a coherent 20-unit sequence on artificial intelligence, knowledge, ethics, evidence, creativity, public decisions, institutional judgment, and responsibility. Each unit pairs a TOK-style discussion activity with a Strategic Interaction Scenario so students first build conceptual vocabulary, then apply those ideas in realistic role-based decision-making simulations.The course begins with foundational questions about machine knowledge, creat
Preview of TOK & AI 10C Bundle: AI Ethics + Autonomous Decisions

TOK & AI 10C Bundle: AI Ethics + Autonomous Decisions

This TOK & AI mini-bundle gives teachers a ready-to-use mini-unit on ethics, AI decision-making, autonomous systems, safety, values, public trust, and responsibility. Students first examine whether AI can make ethical decisions, then apply those ideas in a role-based autonomous vehicle ethics board.The bundle includes one TOK-style discussion activity and one TOK Strategic Interaction Scenario. Together, they help students move beyond simple “AI is objective” or “AI should never decide” reasonin
Preview of TOK & AI 5C Bundle:  Data & Protective Policing

TOK & AI 5C Bundle: Data & Protective Policing

This TOK & AI mini-bundle gives teachers a ready-to-use mini-unit on data, evidence, prediction, bias, public decision-making, and responsibility. Students first examine whether more data automatically creates better knowledge, then apply those ideas in a role-based predictive policing hearing. The bundle includes one TOK-style discussion activity and one TOK Strategic Interaction Scenario. Together, they help students move beyond simple “more data means more knowledge” reasoning and practice ca
Preview of TOK & AI 1B SIS: The AI Witness

TOK & AI 1B SIS: The AI Witness

The AI Witness is a classroom-ready TOK Strategic Interaction Scenario that asks students to examine when an AI-generated account should be trusted, challenged, limited, or rejected as evidence. In this simulation, a high school disciplinary committee must decide whether to rely on an AI-assisted monitoring report that accuses a student of academic misconduct. The report sounds objective and partly fits the evidence, but it also contains gaps, assumptions, and uncertainty. Students take on roles
Preview of TOK & AI 3B SIS: The Translation Crisis

TOK & AI 3B SIS: The Translation Crisis

The Translation Crisis is a classroom-ready TOK Strategic Interaction Scenario that asks students to decide when an AI-generated translation should be trusted, corrected, limited, or rejected in high-stakes communication. In this simulation, a school district uses an AI translation tool during a sudden water-contamination scare. The translated message is mostly understandable, but one crucial sentence changes the practical meaning of the warning. Students take on roles, review evidence, question
Preview of TOK & AI 13A Discussion: Can AI Tell the Truth?

TOK & AI 13A Discussion: Can AI Tell the Truth?

This TOK & AI discussion activity asks students to examine truth, evidence, trust, speed, disclosure, and responsibility in AI-assisted journalism. Students analyze how a machine-generated summary, headline, or quote-like sentence can be accurate in parts while still misleading readers.What’s Included:• Teacher overview and pacing guide• Student background reading• Three classroom cases• Core discussion questions• Ranking task• Structured debate• AOK/TOK connections• Teacher facilitation notes•
Preview of TOK & AI 7A Discussion: Can AI Be Neutral?

TOK & AI 7A Discussion: Can AI Be Neutral?

TOK & AI 07A Discussion: Can AI Be Neutral? is a classroom-ready TOK-style discussion activity that asks students to examine whether AI neutrality can be separated from the human choices behind data, categories, goals, framing, and rules. Students compare three short cases of apparent neutrality: one system that uses balanced language but hides a value choice, one system that is transparent about its criteria but still controversial, and one system that claims neutrality without explaining how i
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