Make an Informed Decision about Using AI

We aren't pro-AI; we're pro-mission. AI has complex risks. There are no easy answers, but we help uncover:

Environmental Costs: Get estimates for CO2, water, and electricity based on your actual AI usage.

Environmental Costs: Get estimates for CO2, water, and electricity based on your actual AI usage.

Risk Indices: Understand how much risk an AI task may pose based on task and system complexity (coming soon).

Risk Indices: Understand how much risk an AI task may pose based on task and system complexity (coming soon).

Tactical Guidance: Discover how to reduce negative impacts and plan around unavoidable risks using real-world strategies.

Tactical Guidance: Discover how to reduce negative impacts and plan around unavoidable risks using real-world strategies.

Environmental Impact

AI usage not only costs money but also consumes a lot of energy. The high environmental impact discourages its use, especially in the social sector. We aim to provide transparency through estimates to help you decide if AI aligns with your sustainability goals.

Think our methodology can be improved? We agree!

Please contact addie@projectkaleidoscope.org with your suggestions.

Environmental Cost Estimator

This tool provides energy consumption estimates for AI use. Actual consumption varies based on data center location, hardware, and many other factors.

Intelligence Tier
Electricity Consumption
0.000 Wh
📱 0.00% of a charge or 🎬 0.00 min of 4K video.
Water Footprint
0.000 mL
💧 0.00 bottles (500ml) or 🚿 0.0000 min of shower time.
Carbon Footprint
0.000 grams CO₂
🛍️ 0.00 grocery bags or 🔍 0.0 Google searches.

Accuracy Calculator
(Coming Soon)

How this is calculated

Environmental impacts are just one of many factors that mission-driven organizations should consider when evaluating AI. Stay tuned for resources to help you understand the potential hallucination risks your system may present.

This model uses estimates for average energy for it's calculation. Actual energy consumption varies based on data center location, hardware, and many other factors. To see our methodology (and sources) check out our methodology below!