AI influence in the environment

Uploaded 2026-04-20 21:15 | ai_environment_assignment_1776719734.docx
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Mini Assignment: AI and the Environment Data Science • Short Written and Analytical Exercise Prompt: Choose one environmental issue connected to AI, such as energy use in data centers, electronic waste, smart agriculture, climate modeling, wildlife monitoring, or traffic optimization. Explain both a positive and a negative environmental effect of AI in that area. Your task: Write a short response and include one small table with at least 3 observations, examples, or numbers from a reliable source. Length: 250 to 400 words, plus one small table. Suggested sources: Government reports, university research centers, peer-reviewed articles, or reputable technology/environment organizations. What to include A brief description of the environmental issue and how AI is involved. One potential benefit of AI for the environment. One potential environmental cost, risk, or unintended consequence. A small table with at least 3 entries. Example columns: Source, Observation, Why it matters. A concluding sentence stating whether the benefits currently outweigh the costs, and under what conditions. Quick rubric (10 points) Submission: One PDF or DOCX file. Include citations in any standard format used in class.
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Latest AI Assessment:
Openai (gpt-3.5-turbo) - Confidence: 90.0%

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Alignment with Outcomes
Manual: 2
AI: 3 (openai)
Cognitive Demand
Manual: 3
AI: 2 (openai)
Authenticity / Context
Manual: 3
AI: 3 (openai)
Accessibility / Equity
Manual: 1
AI: 2 (openai)
Process Visibility
Manual: 3
AI: 2 (openai)
AI Transparency & Ethical Literacy
Manual: 1
AI: 2 (openai)
Teaching Methods
Manual: 2
AI: 2 (openai)

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Rating Details

Manual Rating by Joaquin Carbonara
2026-04-20 21:18
Alignment with Outcomes: 2
Cognitive Demand: 3
Authenticity/Context: 3
Accessibility/Equity: 1
Process Visibility: 3
AI Transparency & Ethical Literacy: 1
Teaching Methods: 2
AI Rating (Openai - gpt-3.5-turbo)
Confidence: 90.0% 2026-04-20 21:18 UTC
Alignment with Outcomes: 3
Cognitive Demand: 2
Authenticity/Context: 3
Accessibility/Equity: 2
Process Visibility: 2
AI Transparency & Ethical Literacy: 2
Teaching Methods: 2
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