Public Speaking

Creating Minimum Viable Intelligence & Setting User Expectations: We are entering the age of intelligence—a time when technologists imbue artificially intelligent components into many products without a clear framework for how such intelligence is delivered to users consistently. It is a product designer’s job to make AI feel human-like and magical, not overwhelming and scary to users. When designing for Artificial Intelligence scenarios, whether for a large enterprise or small startup, setting user expectations is critical to deliver a reliable product. I will share some best practices from designing for AI in both large and small organizations. No matter the company size, a minimum viable product is important to design and not to be the result of unplanned feature cuts. I will share what Minimum Viable Intelligence is for an AI product, and how designers can deliver a clear UX when solving problems efficiently. When thinking of how to design for intelligent products, first and foremost it needs to seem competent. Users must trust the AI agent or service with information and believe that it can achieve their goal. The bar for this depends on the expectations the designer sets. The most difficult thing about breaking out of scenario-focused AI is the lack of clear boundaries. Are you aspiring to create an entire conversational AI agent? Then the bar will be high, being that it is human-like in every way, including what it can respond to. A less intelligent Bot, however, will teach users the rails of its conversation early on to avoid disappointment. In this talk we’ll dig deeper into setting appropriate expectations when designing for AI across large and small applications. Designing AI touchpoints from conversational interfaces to more traditional UI leads a designer to solve for how to best explain the capabilities of AI without overwhelming or frightening the user. This can be achieved by drawing on human interaction models. Responsiveness when users expect it is only one part of this equation. Apps that explain processes in human ways, like thinking, seeing, or reading, can benefit from showing users where they are in a process, while explaining it in natural ways. Emulating true intelligence takes more than just seeming alive and being basically competent though. To surpass users’ expectations can be a delightful moment when the product seems truly and independently intelligent.

We are entering the age of intelligence—a time when technologists imbue artificially intelligent components into many products without a clear framework for how such intelligence is delivered to users consistently. It is a product designer’s job to make AI feel human-like and magical, not overwhelming and scary to users. When designing for Artificial Intelligence scenarios, whether for a large enterprise or small start up, setting user expectations is critical to deliver a reliable product. Emily will share some best practices from designing for AI in both large and small organizations. No matter the company size, a minimum viable product is important to design and not to be the result of unplanned feature cuts. Emily will share what Minimum Viable Intelligence is for an AI product, and how designers can deliver a clear UX when solving problems efficiently. When thinking of how to design for intelligent products, first and foremost it needs to seem competent. Users must trust the AI agent or service with information and believe that it can achieve their goal. The bar for this depends on the expectations the designer sets. The most difficult thing about breaking out of scenario-focused AI is the lack of clear boundaries. Are you aspiring to create an entire conversational AI agent? Then the bar will be high. A less intelligent Bot, however, will teach users the rails of its conversation early on to avoid disappointment. In this talk we’ll dig deeper into setting appropriate expectations when designing for AI across large and small applications. Emily will share how drawing on human interaction models helps designers know what to expect when people encounter their AI product. Responsiveness when users expect it is only one part of this equation. Apps that explain processes in human ways, like thinking, seeing, or reading, can benefit from showing users where they are in a process, while explaining it in natural ways. Emulating true intelligence takes more than just seeming alive and being basically competent though. To surpass users’ expectations can be a delightful moment when the product seems truly and independently intelligent. About Emily Emily Sappington is the Product Director at Babylon Health. Previously she served as VP of Product at London-based AI startup, Context Scout. Emily has spent the bulk of her career in the United States designing Cortana for Microsoft across devices, particularly Natural Language & UI interactions with the assistant. Emily is a lecturer, US patent-holder, career coach for Ada School (the National College for Digital Skills in the UK), and is a recipient of an Exceptional Talent Visa from the UK Government and Tech Nation. @sappingtonemily LinkedIn/emilysappington

In the first of Graphite's Virtual CX Sessions, we heard from two inspirational thought leaders as they spoke about AI in the context of creating better digital customer experiences for people. Firstly, we heard from Emily Sappington, Product Director for Voice & Conversational Applications at Babylon Health who spoke about 'Designing for AI: Setting User Expectations'. We also heard from Adam West, Head of Marketing at Satalia as he spoke about 'Innovation in the context of AI'.

Careers in AI and other uses of STEM subjects Alex Malyshev - Executive Officer - Steinbeis AI Consulting Emily Sappington - Product Director - Babylon Health sunaina aytan - Cyber Security Analyst - eSecure Adam Kucharski - Associate professor at London School of Hygiene and Tropical Medicine - Hear from GenZers themselves as they highlight the topics that matter most to them and witness the ingenuity that’s flourishing amongst the Teens in AI Community. The winners from their recent hackathon will present their projects addressing the Corona Virus Crisis. There will also be sessions for GenZers hosted by experts from across the festival who will share their knowledge and experience for students. How to get a job in tech, mindblowing applications and roles for the non-technical, talks will be complimented by a Q&A hours where the audience can quiz these leaders themselves. CogX is hosted by Charlie Muirhead Co-Founder and CEO, and Co-Founder Tabitha Goldstaub. Find out more at: https://cogx.co/ CogX is an award-winning Festival with its roots in artificial intelligence. The fourth edition, June 8th to 10th 2020, adds a Virtual first experience and Global Leadership Summit, and builds on the huge success of the 2019 event, which brought together over 20,000 visitors. 2020 saw over 30,000 participants including 600+ speakers across 18 topic stages and 100+ side events. Our theme this year, “How do we get the next 10 years right?” with aims to: Move the conversation forward with concrete actions Inspire current and future generations of leaders Help reframe the climate emergency as the biggest economic opportunity in the last 200 years Help increase understanding of the current Covid-19 pandemic and champion innovative solutions CogX – Global Leadership Summit and Festival of AI & Breakthrough Technology

Artificial Intelligence has become a hot topic for all. Please meet Emily Sappington, the VP of Context Scout, an AI in the browser to help the users cut down their research time. Emily completed her undergraduate degree at Parsons School of Design (Psychology and Design) and a masters degree at Carnegie Mellon (Design in Interaction Design). She is a strong believer of the iterative process, you don’t know what that is? Continue watching! Prefer reading? Check out our interview transcript HERE: https://bit.ly/2GaU5Ea