Episode Description

AI is powerful — but it’s also a black box. Users don’t always know how it works, why it made a decision, or whether to trust it.

In this episode of Product Bakar, Rishikesh Kankal dives into one of the most critical — and overlooked — aspects of AI product design: trust.

You’ll learn why adoption depends more on confidence than accuracy, and how product managers can embed Explainability, Transparency, and Control into their AI experiences.

👉 Here’s what we cover:

• Why trust matters more than technical accuracy
• How Spotify, Gmail, and Duolingo design trust into their products
• The 3 pillars of trustworthy AI: Explainability, Transparency, and Control
• A practical PM checklist to design confidence and reduce user anxiety

Because in the world of AI, the question isn’t “Can it work?” — it’s “Will users trust it enough to use it?”

Tags and Keywords:

Product Management, AI, Explainability, Transparency, Trust in AI, UX, Product Design, Machine Learning, Human-AI Interaction, Responsible AI, Product Bakar, Rishikesh Kankal, Product Strategy, PM Podcast