This final project for BUS 345: Business Ethics was created by Gabe Hogan and Luis Coronel to advance the conversation about responsible AI usage.

Why This Matters:

As AI tools become essential to business operations or academic endeavors, understanding their environmental footprint connects directly to key course themes, especially corporate social responsibility, sustainable business practices, stakeholder management, and designing ethical infrastructure.

What Is Different About This Model:

• It is instructed to give responses that educate and empower users to make environmentally conscious decisions.
• It is instructed to keep responses short but informative to preserve token usage.

What We're Tracking:

• Real-time token inputs and usage
• Comparative environmental metrics
• Model types and their parameter usage
• Individual and class wide metrics
• No chat logs are ever saved at any time.

Our Goal:

To make users recognize that every AI interaction has real environmental costs, and empowering more responsible technology choices.