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Designing AI Before It Designs Us
As more interactions are taking place through voice-enabled technologies and chat, AI is increasingly making predictions on behalf of users. All too often, data scientists are left to answer questions and make assumptions about user expectations and needs that have experiential consequences. For example, what percentage accuracy does the AI need to have before users find it valuable? How should an e-commerce site determine which ads to display to users? Left without UX intervention, these kinds of questions go unanswered and AI can easily fall into the Uncanny Valley at best or be disturbing at worst. In this talk, Daniel Huss will establish a set of questions that designers – and anyone developing products that utilize AI – can use as guideposts. He will share lessons from how his AI-powered fintech product ( confused, delighted, and sometimes just fell flat with users when employing even the most powerful machine learning algorithms. Finally, he'll discuss the way that product, UX, and data science eventually converged to form gestalt. Speaker bio Daniel Huss is currently the Head of Product Management for the Project Pharos initiative within State Street Corporation. Prior to making the jump to State Street, Daniel laid the foundation for the product he is building now with Boston Consulting Group, Digital Ventures. Agenda: - Pizza and socializing begins @ 6:45 - Talk begins @ 7:00 followed by Q&A - A little extra socializing after the event


110 5th Avenue, 5th Floor · New York, NY


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