Ladies that UX London presents Design for AI and system
At this month's Ladies that UX London event we are discussing designing for AI and System. We have talks from two speakers who will share their experiences, challenges and best practices. After the talks the Brilliant Basics team will share the experience of their latest AI Hub and you will have time to try some new technology on site!
Speakers for the evening
System Design by Nur Karadeniz
Talk Synopsis
User-centred systems empower people to thrive in the face of ever-changing environments. Carefully crafted systems can offer new kinds of human-machine, machine to machine collaboration supported with intelligent technologies that centred around the user. Some call this smart services, data-driven design, in any form, such "smartness" of services amplify business data through analytics and connected applications and create foundations to design new kinds of business processes and user interactions.
System design is a practice that enables designers to dive beyond the surface, work collaboratively with business, partners and tech experts to optimise complex systems or multiple systems to offer single, smart interactions. With the fundamental design principles in hand, working at the system level creates opportunities for companies to leverage data, address user, business and sustainability goals more effectively. This way of creating responsible services and a healthy balance on how people and machines work together. Methodologies such as system maps, system blueprint and advance task analysis are some of the highly useful tools improve collaboration in multidisciplinary teams. In this session, I will talk about the practice of system design as an emerging design discipline and share some methodologies and application of system design.
About Nur
Head of Experience and System (UK&I, EMEA, The Middle East and Nordics) Design at Brilliant Basics. Nur is a designer by training with backgrounds in HCI and technology. She recently joined Brilliant Basics, an Infosys company where she looks after the overall experience practice across regions. She has a wealth of practical and leadership experience in UX, Service Design and Data-driven design. She believes amazing teams create great products/services and says"Imagine a team with a joined passion for making life better, what can stop them!". Nur currently establishes a system design practice as a new design capability that adopts system thinking and systemic approach to challenges while working as one team towards creating sustainable solutions at scale.
Designing for artificial intelligence by Emily Sappington
Talk Synopsis
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. 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.
I'll 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 Design Manager for Voice & Conversational UI 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.
linkedin.com/in/emilysappington
Schedule
6:30pm - Arrive/Drinks & Nibbles
7:00pm - Welcome and intro by Ladies that UX & Brilliant Basics
7:10pm - Talks
8.00pm - Hands-on with AI Hub
8.30pm - Drinks & Network
9.00pm - Close
We only allow one ticket per person. We reserve the right to cancel duplicates without warning.
This month we are giving people the choice to donate their ticket price of £5 to a STEM-related charity (to be announced on the night) or request a refund (only available if you attend the event or cancel at least 24 hours before).
We take photos to use on our social media during the event. If you don't want to be in the photos please speak to the photographer on the night.