From black box to business tool: Making AI transparent and accountable
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
Mentioned in this episode
Organizations: Writemore AI, OpenAI, Claude, Gemini
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