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Create app.py
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app.py
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| 1 |
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import gradio as gr
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| 2 |
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import json
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| 3 |
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| 4 |
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def analyze_ai_scenario(scenario, role):
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| 5 |
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"""
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| 6 |
+
Analyze an AI-in-education scenario from different stakeholder perspectives
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| 7 |
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"""
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| 8 |
+
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| 9 |
+
# Base analysis framework
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| 10 |
+
base_benefits = [
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| 11 |
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"Increased efficiency in routine tasks",
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| 12 |
+
"Personalized learning experiences",
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| 13 |
+
"Enhanced accessibility for diverse learners",
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| 14 |
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"Data-driven insights for improvement",
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| 15 |
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"24/7 availability for support"
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| 16 |
+
]
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| 17 |
+
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| 18 |
+
base_risks = [
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| 19 |
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"Over-dependence on technology",
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"Privacy and data security concerns",
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| 21 |
+
"Potential for academic dishonesty",
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| 22 |
+
"Bias in AI algorithms",
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| 23 |
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"Job displacement concerns",
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| 24 |
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"Digital divide implications"
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| 25 |
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]
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+
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+
base_ethics = [
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"Transparency in AI decision-making",
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"Consent and data ownership",
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+
"Equity and fairness in access",
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| 31 |
+
"Human oversight and accountability",
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| 32 |
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"Long-term impact on learning"
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| 33 |
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]
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| 34 |
+
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| 35 |
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# Role-specific perspectives
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| 36 |
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role_perspectives = {
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| 37 |
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"Teacher": {
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| 38 |
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"focus": "classroom implementation and pedagogical impact",
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| 39 |
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"specific_benefits": [
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| 40 |
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"Reduced grading time for objective assessments",
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| 41 |
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"Real-time feedback capabilities",
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| 42 |
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"Differentiated instruction support",
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| 43 |
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"Professional development insights"
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| 44 |
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],
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| 45 |
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"specific_risks": [
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| 46 |
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"Loss of human connection with students",
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| 47 |
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"Skill atrophy in manual assessment",
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| 48 |
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"Increased workload for AI management",
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| 49 |
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"Student over-reliance on AI assistance"
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| 50 |
+
],
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| 51 |
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"specific_ethics": [
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| 52 |
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"Maintaining authentic teacher-student relationships",
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| 53 |
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"Balancing AI assistance with human judgment",
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| 54 |
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"Ensuring pedagogical integrity",
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| 55 |
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"Protecting student learning autonomy"
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| 56 |
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]
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},
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| 58 |
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"Student": {
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| 59 |
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"focus": "learning experience and academic development",
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"specific_benefits": [
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"Immediate feedback and support",
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| 62 |
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"Customized learning pace",
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| 63 |
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"Enhanced creativity tools",
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| 64 |
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"Better organization and planning"
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| 65 |
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],
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| 66 |
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"specific_risks": [
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| 67 |
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"Reduced critical thinking development",
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| 68 |
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"Academic integrity violations",
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| 69 |
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"Decreased peer collaboration",
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| 70 |
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"Dependence on AI for problem-solving"
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| 71 |
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],
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| 72 |
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"specific_ethics": [
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| 73 |
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"Honest representation of own work",
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| 74 |
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"Understanding AI limitations",
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| 75 |
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"Respecting intellectual property",
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| 76 |
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"Developing authentic skills"
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| 77 |
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]
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| 78 |
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},
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| 79 |
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"Administrator": {
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| 80 |
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"focus": "institutional policy and resource management",
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| 81 |
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"specific_benefits": [
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| 82 |
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"Cost reduction in operations",
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| 83 |
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"Improved resource allocation",
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| 84 |
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"Enhanced decision-making data",
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| 85 |
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"Streamlined administrative processes"
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| 86 |
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],
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| 87 |
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"specific_risks": [
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| 88 |
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"High implementation and maintenance costs",
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| 89 |
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"Legal and compliance challenges",
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| 90 |
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"Staff resistance and training needs",
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| 91 |
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"Technology infrastructure requirements"
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| 92 |
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],
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| 93 |
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"specific_ethics": [
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| 94 |
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"Equitable access across student populations",
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| 95 |
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"Transparent policy development",
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| 96 |
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"Responsible data governance",
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| 97 |
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"Long-term institutional integrity"
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| 98 |
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]
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| 99 |
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}
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| 100 |
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}
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| 101 |
+
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| 102 |
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# Get role-specific information
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| 103 |
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role_info = role_perspectives.get(role, role_perspectives["Teacher"])
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| 104 |
+
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| 105 |
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# Combine base and role-specific insights
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all_benefits = base_benefits + role_info["specific_benefits"]
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| 107 |
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all_risks = base_risks + role_info["specific_risks"]
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| 108 |
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all_ethics = base_ethics + role_info["specific_ethics"]
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| 109 |
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| 110 |
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# Create formatted response
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| 111 |
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response = f"""
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| 112 |
+
## Analysis for: "{scenario}"
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| 113 |
+
### Perspective: {role} ({role_info['focus']})
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| 114 |
+
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| 115 |
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### 🌟 **Potential Benefits**
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| 116 |
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"""
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| 117 |
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for i, benefit in enumerate(all_benefits[:6], 1):
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| 118 |
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response += f"{i}. {benefit}\n"
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| 119 |
+
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| 120 |
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response += "\n### ⚠️ **Potential Risks**\n"
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| 121 |
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for i, risk in enumerate(all_risks[:6], 1):
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response += f"{i}. {risk}\n"
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| 123 |
+
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| 124 |
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response += "\n### 🤔 **Ethical Considerations**\n"
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| 125 |
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for i, ethic in enumerate(all_ethics[:5], 1):
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| 126 |
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response += f"{i}. {ethic}\n"
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| 127 |
+
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| 128 |
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response += f"""
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| 129 |
+
### 💡 **Key Questions for {role}s to Consider**
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| 130 |
+
- How can we maximize benefits while minimizing risks?
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| 131 |
+
- What safeguards need to be in place?
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| 132 |
+
- How do we maintain human agency and oversight?
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| 133 |
+
- What training or preparation is needed?
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| 134 |
+
- How do we measure success and impact?
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| 135 |
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"""
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| 136 |
+
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| 137 |
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return response
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| 138 |
+
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| 139 |
+
def create_demo():
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| 140 |
+
"""Create and return the Gradio interface"""
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| 141 |
+
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| 142 |
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# Example scenarios for users
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| 143 |
+
example_scenarios = [
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| 144 |
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["AI writing essays for grade 9 students", "Teacher"],
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| 145 |
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["Chatbot tutoring for mathematics", "Student"],
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| 146 |
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["AI-powered plagiarism detection system", "Administrator"],
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| 147 |
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["Automated grading of multiple choice tests", "Teacher"],
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| 148 |
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["AI language translation for ESL students", "Student"],
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| 149 |
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["Predictive analytics for student performance", "Administrator"]
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| 150 |
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]
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| 151 |
+
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| 152 |
+
with gr.Blocks(
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| 153 |
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title="AI-in-Education Risk Simulator",
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| 154 |
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theme=gr.themes.Soft(),
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| 155 |
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css="""
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| 156 |
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.container { max-width: 900px; margin: auto; }
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| 157 |
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.header { text-align: center; margin-bottom: 2rem; }
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| 158 |
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.scenario-input { font-size: 16px; }
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| 159 |
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"""
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| 160 |
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) as demo:
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| 161 |
+
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| 162 |
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gr.HTML("""
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| 163 |
+
<div class="header">
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| 164 |
+
<h1>🎓 AI-in-Education Risk Simulator</h1>
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| 165 |
+
<p>Explore the benefits, risks, and ethical considerations of AI integration in educational settings</p>
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| 166 |
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</div>
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| 167 |
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""")
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| 168 |
+
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| 169 |
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with gr.Row():
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| 170 |
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with gr.Column(scale=2):
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| 171 |
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scenario_input = gr.Textbox(
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| 172 |
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label="AI Scenario Description",
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| 173 |
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placeholder="e.g., AI writing essays for grade 9 students",
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| 174 |
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lines=2,
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| 175 |
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elem_classes=["scenario-input"]
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| 176 |
+
)
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| 177 |
+
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| 178 |
+
role_dropdown = gr.Dropdown(
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| 179 |
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choices=["Teacher", "Student", "Administrator"],
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| 180 |
+
value="Teacher",
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| 181 |
+
label="Your Role/Perspective",
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| 182 |
+
info="Select your role to get a tailored analysis"
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| 183 |
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)
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| 184 |
+
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| 185 |
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analyze_btn = gr.Button(
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| 186 |
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"🔍 Analyze Scenario",
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| 187 |
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variant="primary",
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| 188 |
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size="lg"
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| 189 |
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)
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| 190 |
+
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| 191 |
+
with gr.Row():
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| 192 |
+
output = gr.Markdown(
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| 193 |
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label="Analysis Results",
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| 194 |
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elem_classes=["output-container"]
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)
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| 196 |
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| 197 |
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# Set up the interaction
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| 198 |
+
analyze_btn.click(
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| 199 |
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fn=analyze_ai_scenario,
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| 200 |
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inputs=[scenario_input, role_dropdown],
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| 201 |
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outputs=output
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| 202 |
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)
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| 203 |
+
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| 204 |
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# Also trigger on Enter key
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| 205 |
+
scenario_input.submit(
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| 206 |
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fn=analyze_ai_scenario,
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| 207 |
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inputs=[scenario_input, role_dropdown],
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| 208 |
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outputs=output
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| 209 |
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)
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| 210 |
+
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| 211 |
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# Add examples section
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| 212 |
+
gr.HTML("<hr><h3>📚 Try These Example Scenarios</h3>")
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| 213 |
+
gr.Examples(
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| 214 |
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examples=example_scenarios,
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| 215 |
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inputs=[scenario_input, role_dropdown],
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| 216 |
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outputs=output,
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| 217 |
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fn=analyze_ai_scenario,
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| 218 |
+
cache_examples=True
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| 219 |
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)
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| 220 |
+
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# Add footer with instructions
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| 222 |
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gr.HTML("""
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| 223 |
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<div style="margin-top: 2rem; padding: 1rem; background-color: #f8f9fa; border-radius: 8px;">
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| 224 |
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<h4>How to Use:</h4>
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<ol>
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<li>Describe an AI scenario in education (be specific!)</li>
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| 227 |
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<li>Select your role perspective</li>
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| 228 |
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<li>Click "Analyze Scenario" to get tailored insights</li>
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| 229 |
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<li>Use the analysis to inform discussions and decision-making</li>
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| 230 |
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</ol>
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| 231 |
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</div>
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""")
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+
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return demo
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| 235 |
+
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# Create and launch the app
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| 237 |
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if __name__ == "__main__":
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demo = create_demo()
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| 239 |
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demo.launch(
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| 240 |
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server_name="0.0.0.0", # Allow external access
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| 241 |
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server_port=7860, # Default Gradio port
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| 242 |
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share=True, # Create public link
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| 243 |
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debug=True # Enable debug mode
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| 244 |
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)
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