5 Questions I Wish More Product Teams Asked About AI

Join Josh LaMar, Joe Natoli, and me to discuss these topics, and more. Details below.

1. Who owns this content?
   That beautifully crafted AI-generated summary, who can legally or ethically claim it? You? Your company? The tool’s maker?

2. Are we tracking how and where we’re using AI?
   Most teams aren’t. That makes transparency and accountability nearly impossible, opening the door for ethical risks.

3. Does our procurement or legal team know AI is now baked into [insert platform name here]?
   No, they don’t unless you tell them. Lack of visibility at the org level can cause major compliance and data issues later.

4. If our AI-assisted process isn’t transparent, is it really user-centered?
   When users and stakeholders can’t tell where AI was involved or can’t trace a decision back to a human source, trust erodes. When should transparency enter the process? How might this look and work?

5. Is this task better done by a human?
   Just because you can automate something doesn’t mean you should. Where’s the line between smart delegation and overreach? Do we have criteria about when to use AI? Do we agree on it? Do we apply the criteria consistently?

We’ll unpack these questions (and the messy middle ground) at our "AI in Design & Research: Navigating Transparency Challenges" event, a conversation about transparency, authorship, trust, and the ethical use of AI in UX, research, and design.

The live event is on April 2nd. All registrants will receive the recording, whether they attend live or not.