NYAI #19: AI & UI - "AI + Emotion: It's all about Trust" by Steph Hay (VP Design, Capital One)

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Steph Hay (VP of Design @ Capital One) shares on AI + Emotion - why it's all about trust. part of NYAI #19: AI & UI on Tues, 27 Feb 2018 at Capital One Labs nyai.co

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NYAI #19: AI & UI - "AI + Emotion: It's all about Trust" by Steph Hay (VP Design, Capital One)

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Diane Kim (x.ai) spoke about "Designing Intelligent Agents and a new class of Perceived Errors". This talk covers new research in UI and how we can take advantage of NLP and AI in general, and change the way we interact with technology dramatically. Diane discusses how the standard GUI is many times fully eliminated, leading to novel challenges in UX. Tasks are removed from the user’s oversight with invisible or seamless software, and the output is not always as expected. But sometimes that output is correct within the parameters given and simply perceived as an error. By Diane Kim (AI Interaction Designer, x.ai) @_DianeKim part of NYAI #19: AI & UI on Tues, 27 Feb 2018 at Capital One Labs nyai.co

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Through our recent Design in AI survey we found that on AI projects there is frequently a lack of alignment between technical and non-technical team members. During this talk, we will share the results of our report and then talk about specific methods to build alignment. You will learn how two of our favorite workshops, Empathy Mapping for the Machine and Confusion Mapping, can build stronger teams and better products. You will walk away with a better idea of the nuances required in product and design practice for AI systems. by Chris Butler (Director of AI, Philosophie) at NYAI #18: AI & UX on Tues, 27 Feb 2018 at Capital One Labs nyai.co

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Understanding emotions is becoming more important as technology is expected to respond to each individual based on their tastes. AI is the technology that is powering this expectation. We will talk about how, using emotional research and design methodologies, it is possible to gather not only what people think about using a system, but also how they feel. Doing emotional research to gain insights and catalogue them is one of the first steps. From there designers can leverage these findings and translate the feelings into design conventions. These conventions can then provide the machine learning with the signal it can use to generate more refined and meaningful results based on a person's preferences. These emotionally based features can then be quantifiably measured to prove out the effectiveness of the process. By using this process with machine learning technologies we can create systems that go from being simply useful to something that is a joy to use. by Rob Strati and Jesse Schifano (Co-Founders, ECHO) part of NYAI #18: AI & UX on Tues, 27 Feb 2018 at Capital One Labs. nyai.co

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