Designing AI for trust: lessons from Akshay Kore

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The difference between an AI product people trust and one they use with a sense of suspicion? Good design. That was one of the key takeaways from a session in the ownpath archives titled Design for Emerging Tech, by Akshay Kore (Senior Design Manager, Suki; visiting faculty at IIT Bombay). We often think of AI as a technology problem. But in practice, it’s a human problem first: how do people trust it, understand it, and feel in control while using it? As Akshay notes, the real opportunity for designers in AI is in shaping how humans relate with intelligent systems in a trusting manner. That starts with a few practical design practices. • Surface uncertainty. Don’t let AI outputs appear absolute. Show confidence levels, alternate options, or ways to refine results. • Design for handoff. Make it easy for people to take over when AI falls short. A graceful exit is better than a false sense of control. • Build explainability in. Even small cues (“why this result?”) can help users build trust and mental models. • Mind the emotional layer. Tone, timing, and microcopy often matter more than features in shaping how people feel about AI. This is what makes today an incredible time to be a designer. The patterns are still being written and you’re at the forefront of this emerging space. At ownpath, we use design to tackle some of the toughest challenges facing today’s most innovative, AI-first companies. We’re looking for product designers to join us in that work. If that excites you, the application link is in the comments.

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