From black box to business tool: Making AI transparent and accountable

From Content Operations by Scriptorium - The Content Strategy Experts

January 26, 2026 · 21 min

About this episode

The episode discusses the importance of transparency and accountability in AI tools with Nathan Gilmour from Writemore AI.

As AI adoption accelerates, accountability and transparency issues are accumulating quickly. What should organizations be looking for, and what tools keep AI transparent? In this episode, Sarah O’Keefe sits down with Nathan Gilmour, the Chief Technical Officer of Writemore AI , to discuss a new approach to AI and accountability. Sarah O’Keefe: Okay. I’m not going to ask you why this is the only AI tool I’ve heard about that has this type of audit trail, because it seems like a fairly important thing to do. Nathan Gilmour: It is very important because there are information security policies. AI is this brand-new, shiny, incredibly powerful tool. But in the grand scheme of things, these large language models, the OpenAIs, the Claudes, the Geminis, they’re largely black boxes. We want to bring clarity to these black boxes and make them transparent, because organizations do want to implement AI tools to offer efficiencies or optimizations within their organizations. However, information security policies may not allow it. Related links: Sarah O’Keefe: AI and content: Avoiding disaster Sarah O’Keefe: AI and accountability Writemore AI LinkedIn…

People in this episode

Host: Sarah O’Keefe

Guest: Nathan Gilmour

Topics covered

AI transparency
accountability in AI
information security
AI tools
business efficiency

Keywords

AI
transparency
accountability
information security
business tools
Writemore AI

Mentioned in this episode

Organizations: Writemore AI, OpenAI, Claude, Gemini