top of page
Ravit banner.jpg


Checklist for identifying AI tools

➤ Clients often tell me that it’s difficult to tell when a tool is AI-enabled.

🎈For example, investors, procurement, insurance, and consumers –

🎈They need to identify when a tool is AI-enabled to do their due diligence properly and make decisions about it

➤ But it can be difficult to tell when a tool relies on AI!

To the extent that people sometimes only realize it when something goes horribly wrong.

Why does this happen?

🔍People are less familiar with AI that is not generative AI, so it can be more difficult to spot.

🔍Vendors sometimes emphasize what the tool does, but omit to mention that it has AI components. Or the tool may have been procured long ago, and the current management team is unaware.

➤ So how do you identify AI?

💡Formal definitions can get too technical and overwhelming for non-experts.

💡Instead, I found a really nice checklist from the Edtech Equity Project (link in the comments), refined it a bit, and came up with the attached.

💡It is a list of signs that should trigger you to dig deeper to see if the tool is AI-enabled.

➤ What do other people think? How do you identify AI?

Suggested revisions to the list are very welcome! Join the conversation in the Linkedin thread.



Join my newsletter for tech ethics resources.

I will never use your email for anything else.

bottom of page