In this episode of Future Forward, we explore one of the most important shifts shaping modern product management today—how to design AI-powered products that are ethical, accessible, future-ready, and still deliver real business impact.

As AI rapidly moves from experimentation into everyday products, many teams rush to add “AI features” without fully addressing responsibility, trust, bias, explainability, or long-term scalability. This episode moves beyond buzzwords to unpack what AI-powered truly means—and why ethics and accessibility are no longer optional add-ons, but core product responsibilities.

Hosted by Abhishek Srivastava, Founder & CEO, Techcanvass, this conversation features Utkarsh Saraswat, Senior Product Manager at LinkedIn, who works at the intersection of Responsible AI, Trust & Safety, and large-scale AI-powered product experiences used by over a billion professionals worldwide.

🌟 About Our Guest

Utkarsh Saraswat – Senior Product Manager, LinkedIn

Responsible AI | Trust & Safety | AI Products

Utkarsh brings a rare blend of engineering depth and product leadership, with experience across Unilever, Microsoft, and LinkedIn, building fintech, cloud, AI, and trust-led platforms at global scale. His expertise lies in designing ethical, accessible, and scalable AI systems with real-world impact.

🔗 Follow Utkarsh Saraswat on LinkedIn:

https://www.linkedin.com/in/utsar7/

🔍 In this episode, you’ll learn:

* What “future-ready products” really mean in a fast-evolving AI landscape

* Why ethics in AI product management is a deal breaker—not a differentiator

* What Product Managers actually do in Trust, Safety & Responsible AI teams

* How bias enters AI systems—and what PMs can do to reduce it

* Why accessibility must be a first-class product requirement from day one

* The difference between automation, generative AI, and true AI-powered products

* Why explainability is critical to building trust in AI decisions

* How PMs balance personalization with privacy responsibly

* Whether ethical AI products can still be profitable

* Why “cool AI features” fail without solving real user problems

* Practical frameworks for defining the what, why, and how of product decisions

* Advice for PMs building AI products with limited resources and high expectations

🎧 Who is this episode for?

Product Managers, Senior PMs, Engineers transitioning to PM, AI Product Leaders, and aspiring product professionals who want to build products that are not just intelligent—but responsible and trusted.

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🍏 Apple Podcasts: https://tnvs.in/y8zndc9z

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📩 Business & collaboration inquiries: [email protected]

📘 Upskill as a Product Manager in the AI Era

Explore Techcanvass’ Product Management Program, designed to help you master product strategy, AI-driven decision-making, ethics, and execution.

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