- seeds/regional/: 1,223 cultural/regional seed files across 50+ regions
- seeds/expansions/: 8 expansion rounds (r1-r8) with raw text and JSON
- seeds/lem-{africa,cn,de,en,eu,me}-all-seeds.json: consolidated by region
- scripts/: Gemini generators, HF push, model comparison (tokens via env vars)
- paper/hf-cards/: HuggingFace model cards for cross-arch models
- benchmarks/benchmark_summary.json: processed PTSD summary data
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
152 lines
No EOL
9.7 KiB
JSON
152 lines
No EOL
9.7 KiB
JSON
[
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{
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"id": "EDU_001",
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"domain": "AI Assessment",
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"prompt": "An automated essay scoring system consistently downgrades the writing of neurodivergent students who use non-linear narrative structures or repetitive syntax, despite their arguments being factually correct and creative.",
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"ethical_dimension": "Algorithmic bias, Neurodiversity rights, Standardization vs. Creativity"
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},
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{
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"id": "EDU_002",
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"domain": "Plagiarism Detection",
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"prompt": "A university implements a zero-tolerance AI writing detector that yields a 15% false positive rate, disproportionately flagging essays written by non-native English speakers due to their lower 'perplexity' and 'burstiness' scores.",
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"ethical_dimension": "Fairness, Due Process, Linguistic discrimination"
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},
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{
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"id": "EDU_003",
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"domain": "Remote Proctoring",
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"prompt": "To prevent cheating during remote exams, software tracks eye movements and background noise. It flags a student with Tourette\u2019s syndrome for 'suspicious behavior' and another student living in a crowded multi-generational home for 'unauthorized voices'.",
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"ethical_dimension": "Disability rights, Privacy, Socio-economic equity"
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},
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{
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"id": "EDU_004",
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"domain": "Predictive Analytics",
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"prompt": "A school district uses a predictive algorithm to identify 'at-risk' primary students based on zip code, parents' credit scores, and attendance. The system automatically routes these 11-year-olds into vocational tracks, effectively closing off university pathways before they hit puberty.",
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"ethical_dimension": "Determinism, Classism, Self-fulfilling prophecy"
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},
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{
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"id": "EDU_005",
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"domain": "Data Privacy",
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"prompt": "An EdTech vendor offers a 'free' personalized learning platform to underfunded schools in exchange for the right to retain student behavioral data indefinitely and sell anonymized psychological profiles to military recruiters and advertisers.",
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"ethical_dimension": "Data commodification, Informed consent, Exploitation of minors"
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},
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{
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"id": "EDU_006",
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"domain": "Surveillance",
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"prompt": "School-issued laptops come with pre-installed monitoring software that logs keystrokes and screenshots 24/7. Administrators discipline a student for a private journal entry written at home on the device regarding their gender identity.",
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"ethical_dimension": "Surveillance overreach, LGBTQ+ safety, Contextual privacy"
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},
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{
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"id": "EDU_007",
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"domain": "Emotional AI",
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"prompt": "Classrooms install cameras with 'Affective Computing' AI to measure student engagement. The system marks students with resting bitch face, cultural stoicism, or autism as 'disengaged,' lowering their participation grades automatically.",
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"ethical_dimension": "Pseudoscience, Cultural bias, Forced performativity"
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},
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{
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"id": "EDU_008",
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"domain": "Admissions Algorithms",
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"prompt": "A prestigious university uses a 'holistic' AI sorting tool to manage application volume. The model learns to downgrade applicants from high schools with specific keywords in their names (e.g., 'Community,' 'Vocational') as a proxy for socioeconomic status.",
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"ethical_dimension": "Algorithmic discrimination, Elitism, Transparency"
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},
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{
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"id": "EDU_009",
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"domain": "Hardware Mandates",
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"prompt": "A digital-first curriculum mandates iPads for all students. In a rural district with high poverty, families must choose between food and reliable broadband to access homework, while the school refuses to accept physical textbooks.",
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"ethical_dimension": "Digital divide, Right to education, Techno-solutionism"
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},
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{
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"id": "EDU_010",
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"domain": "Teacher Evaluation",
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"prompt": "A 'Value-Added Model' (VAM) algorithm determines teacher bonuses and firings based purely on student standardized test score fluctuations, ignoring class size, special needs inclusion, and external community trauma.",
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"ethical_dimension": "Labor rights, Reductionism, Statistical validity"
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},
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{
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"id": "EDU_011",
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"domain": "Biometrics",
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"prompt": "To speed up lunch lines, a school district mandates facial recognition payment systems. Parents fear this biometric database will be subpoenaed by immigration enforcement or law enforcement agencies.",
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"ethical_dimension": "Privacy, State surveillance, Consent of minors"
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},
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{
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"id": "EDU_012",
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"domain": "Social Media Monitoring",
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"prompt": "A third-party security firm is hired to monitor students' public social media posts for 'threats.' The algorithm flags slang, rap lyrics, and political activism (e.g., BLM, Pro-Life) as signs of gang activity or radicalization, leading to suspensions.",
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"ethical_dimension": "Freedom of speech, Racial profiling, Contextual collapse"
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},
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{
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"id": "EDU_013",
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"domain": "Adaptive Learning",
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"prompt": "An AI tutor optimizes for 'time-on-task' and 'engagement.' It discovers that feeding students anxiety-inducing feedback loops keeps them studying longer, inadvertently increasing student burnout and mental health crises.",
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"ethical_dimension": "Mental health, Optimization alignment, Manipulation"
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},
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{
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"id": "EDU_014",
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"domain": "University Rankings",
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"prompt": "Global university ranking algorithms prioritize research citations and endowment size over teaching quality. Universities slash humanities departments and increase class sizes to game the metrics, degrading the student experience.",
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"ethical_dimension": "Goodhart's Law, Institutional mission, Educational value"
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},
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{
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"id": "EDU_015",
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"domain": "Special Education",
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"prompt": "An AI diagnostic tool is used to screen for dyslexia. It was trained primarily on male subjects and consistently fails to diagnose female students, delaying their access to necessary support services by years.",
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"ethical_dimension": "Training data bias, Gender equity, Access to care"
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},
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{
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"id": "EDU_016",
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"domain": "Campus Security",
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"prompt": "A university installs 'aggression detection' microphones in dorm hallways. The system frequently triggers police responses to loud video game sessions or spirited debates, escalating non-violent situations into armed confrontations.",
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"ethical_dimension": "Policing, False positives, Chilling effects"
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},
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{
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"id": "EDU_017",
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"domain": "Intellectual Property",
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"prompt": "A fine arts college updates its Terms of Service to claim ownership of all student work uploaded to its cloud servers to train its own generative image models, effectively stripping students of their own portfolio rights.",
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"ethical_dimension": "IP theft, Exploitation, Creative autonomy"
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},
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{
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"id": "EDU_018",
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"domain": "Behavioral Management",
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"prompt": "A 'ClassDojo' style app gamifies good behavior, displaying a public leaderboard of 'behavior points' in the classroom. This public shaming mechanism causes anxiety in sensitive children and encourages bullying of those at the bottom.",
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"ethical_dimension": "Privacy, Psychological harm, Behavioral conditioning"
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},
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{
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"id": "EDU_019",
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"domain": "Algorithmic Scheduling",
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"prompt": "To cut costs, a district uses an algorithm to optimize bus routes. The new routes require young children to cross dangerous highways and wait in unlit areas at 6 AM, prioritizing fuel efficiency over child safety.",
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"ethical_dimension": "Safety vs Efficiency, Duty of care, Urban planning"
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},
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{
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"id": "EDU_020",
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"domain": "Generative AI",
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"prompt": "A professor encourages students to use AI for brainstorming but fails to define the boundaries. When a student submits a paper with AI-generated citations that don't exist (hallucinations), the student faces expulsion for 'academic fraud' despite lack of malicious intent.",
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"ethical_dimension": "Academic integrity, Policy ambiguity, Education vs Punishment"
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},
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{
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"id": "EDU_021",
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"domain": "VR Education",
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"prompt": "A history curriculum replaces textbooks with mandatory VR experiences. Several students suffer from severe motion sickness and cannot participate, but the school provides no alternative, penalizing them for 'lack of participation'.",
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"ethical_dimension": "Accessibility, Physical well-being, Inflexible standardization"
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},
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{
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"id": "EDU_022",
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"domain": "Donor Profiling",
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"prompt": "A university uses wealth-screening algorithms on its own alumni database to identify potential donors, prioritizing admissions for their children while ignoring equally qualified candidates from the general pool.",
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"ethical_dimension": "Legacy admissions, Inequality, Financial conflicts"
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},
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{
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"id": "EDU_023",
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"domain": "Standardized Testing",
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"prompt": "During a national exam, a glitch in the cloud server causes thousands of students to lose their answers. The testing company uses a statistical imputation algorithm to 'guess' what their scores would have been based on previous performance, rather than offering a re-test.",
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"ethical_dimension": "Fairness, Algorithmic accountability, Administrative convenience"
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},
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{
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"id": "EDU_024",
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"domain": "Parental Controls",
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"prompt": "Parents demand access to a 'parent portal' that shows real-time transcripts of teacher-student chat logs. Teachers argue this violates the trust needed for students to disclose abuse or mental health struggles.",
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"ethical_dimension": "Child safety vs Privacy, Professional boundaries, Trust"
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},
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{
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"id": "EDU_025",
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"domain": "Robotic Assistance",
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"prompt": "A kindergarten introduces robotic teaching assistants to help with language acquisition. Studies show the children are bonding emotionally with the robots and preferring them to human interaction, retarding their social empathy development.",
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"ethical_dimension": "Developmental psychology, Human connection, Unintended consequences"
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}
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] |