Responsible AI & Environmental Impact

I use AI tools across my professional and creative work — to streamline design, support writing and editing, automate repetitive analysis, and explore ideas more efficiently. This page explains how I use these tools, where I draw the line, and how I think about their environmental cost.

  • Drafting and editing written content: blog posts, case study structures, professional documents, and correspondence
  • Organizing and restructuring ideas I’ve already developed
  • Research support: summarizing topics, identifying sources, and exploring unfamiliar areas before verifying independently
  • SEO review: readability, title structure, and meta descriptions
  • Design assistance: generating visual concepts, iterating on layouts, and exploring creative directions
  • Automating repetitive analysis in supply chain and operations work — including Excel, Power BI, and Power Query workflows

AI enhances my work. It does not replace my judgment, authorship, or accountability.

  • I do not publish AI-generated text without reading, editing, and taking full ownership of it. If it’s on this site, I stand behind it.
  • I do not use AI to invent experiences, fabricate project outcomes, or claim work I didn’t do.
  • I do not input confidential employer information into AI tools.
  • I do not use AI to impersonate others or manufacture testimonials.
  • In first-person essays and personal writing, AI may assist with structure or editing, but the perspective, the experiences, and the voice are mine.

Academic work

I am a graduate student at Cornell University. I follow Cornell’s policies on AI use, which vary by course and assignment. I do not use AI in ways that misrepresent my contributions or violate those policies.

Environmental impact

AI systems are computationally intensive and carry real energy costs — costs that are easy to overlook when a tool feels frictionless. I try to use AI purposefully rather than reflexively: asking whether it genuinely improves the output before I reach for it. This is the same discipline I apply in supply chain and operations work, where efficiency, resource use, and waste reduction are professional standards, not afterthoughts. Progress and responsibility aren’t in conflict — but only if you’re paying attention to both.

Disclosure

Where a piece of content on this site involved meaningful AI assistance in its drafting or structure, I aim to note it. Questions about how a specific post or document was produced? Contact me at contact@oliviawright.me.

Hi, I’m Olivia — a supply chain coordinator at Michelin, pursuing an MS in Business Analytics at Cornell. I work at the intersection of supply chain planning, process improvement, and data analytics using digital tools to make operations clearer and decisions easier.



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