The Rise of the Robots - How to Responsibly use AI in your Products (with ChatGPT 4, Cutting-edge language model @ OpenAI)

And now for something a little different. I recently purchased a ChatGPT pro license and got access to ChatGPT 4, the groundbreaking new model from OpenAI. Social media is on fire at the moment, with people talking about all the cool stuff it can do. So, I thought "who better to speak to about AI Product Management"? A few hours later, and here's the result; the full One Knight in Product experience, a wide-ranging discussion with some terrible jokes from both sides thrown in for good measure.

A message from this episode's sponsor - Skiplevel

This episode is sponsored by Skiplevel. Do you struggle with communicating with dev teams and understanding technical terminology and concepts? On episode 98, I hosted Irene Yu, founder of Skiplevel, an on-demand training program that helps professionals and teams become more technical in just 5 weeks... All without learning to code. Learn the knowledge and skills you need to better communicate with devs and become more confident in your day-to-day role with the Skiplevel program. You can use referral code OKIP to support this podcast!

Episode highlights:

 

1. It's natural to be concerned about AI taking over the world

We've all seen the movies, the books and the horror stories. But there's also an incredible opportunity to change the world for the better. We need to be vigilant, and confront the concerns head-on.

2. Product Managers can benefit from putting AI in their products

But don't just go in blindly - you need to assess that adding AI capabilities to your product actually solves a real problem and isn't just cool tech. In short, you need to be a product manager!

3. You don't need to be a data scientist to be an "AI Product Manager"

Having technical skills and being capable of understanding AI on a high level is helpful, but only to help you have good conversations with your colleagues. As a PM, your job remains to manage the product!

4. It can be hard to persuade traditional industries to use AI solutions

Not everyone is cutting edge and there can be barriers to adoption. There are multiple ways to prove the solution and integrate gradually to show the benefits and remove the fear of change.

5. Explainability of AI is crucial

AI is often seen as a black box, but there are ways to help explain what it's doing and justify its decisions. This is especially important when considering the impact of bias, and ensuring an ethical solution.

Check out ChatGPT

You can chat to ChatGPT on the ChatGPT website or visit the Open AI website.