Important topic addressed amongst digital designers.
“Over the next two decades, connected products will demand an unprecedented amount of user trust. Technologists and designers will ask the public for yet more of their attention, more of their data, more of their lives. AIs will know users’ deepest secrets. Co-operating devices will automate security and safety. Autonomous vehicles will even make life-or-death decisions for passengers. But ours is an industry still unwilling to grapple with the ethical, social, and political angles of this future. We mistakenly believe that technology is neutral; that mere objects cannot have moral relevance. And so we make embarrassing blunders – racist chatbots, manipulative research, privacy violations – that undermine trust and harm those we should help.”
Cennydd Bowles a.k.a. /cennydd | @cennydd ~ interaction17 videos
Moving ‘Lick’ forward into the design world.
“As a designer, you will be facing more demands and opportunities to work with digital systems that embody machine learning. To have your say about how best to use it, you need a good understanding about its applications and related design patterns. This article illustrates the power of machine learning through the applications of detection, prediction and generation. It gives six reasons why machine learning makes products and services better and introduces four design patterns relevant to such applications. To help you get started, I have included two non-technical questions that will help with assessing whether your task is ready to be learned by a machine.”
Lassi Liikkanen a.k.a. /lassial | @lassial ~ Smashing Magazine ★
Innovation always happens at the edges.
“Research papers from the AAAI User Experience of Machine Learning Symposium ~ Consumer-facing predictive systems paint a seductive picture: espresso machines that start brewing just as you think it’s a good time for coffee; office lights that dim when it’s sunny and office workers don’t need them; just in time diaper delivery. The value proposition is of a better user experience, but how will that experience actually be delivered when the systems involved regularly behave in unpredictable, often inscrutable, ways? Past machine learning systems in predictive maintenance and finance were designed by and for specialists, while recommender systems suggested, but rarely acted autonomously. Semi-autonomous machine learning-driven predictive systems are now in consumer-facing domains from smart homes to self-driving vehicles. Such systems aim to do everything from keeping plants healthy and homes safe to “nudging” people to change their behavior. However, despite all the promise of a better user experience there’s been little formal discussion about how design of such learning, adaptive, predictive systems will actually deliver. This symposium aims to bridge the worlds of user experience design, service design, HCI, HRI and AI to discuss common challenges, identify key constituencies, and compare approaches to designing such systems.”
Mike Kuniavsky a.k.a. @mikekuniavsky, Elizabeth Churchill a.k.a. @xeeliz, and Molly Wright Steenson a.k.a. @maximolly
AI is eating the UX world for breakfast.
“It’s a glimpse of the kind of personalization of language that could transform UX over the next few years, as AI becomes an integral part of research and design.”
Katharine Schwab a.k.a. /katharineschwab | @kschwabable ~ FastCo.design ★
A little more on ethics would help.
“We’re on the cusp of a new era of design. Beyond the two-dimensional focus on graphics and the three-dimensional focus on products, we’re now in an era where designers are increasingly focusing on time and space, guided by technological advances in artificial intelligence, robotics, and smart environments.”
Katharine Schwab a.k.a. /katharineschwab | @kschwabable ~ FastCoDesign ★
We’re getting some clear messages on this topic lately.
“As I began to explore how AI would affect design, I started wondering what advice I would give my daughter and a generation of future designers to help them not only be relevant, but thrive in the future AI world. Here is what I think they should expect and be prepared for in 2025.”
Rob Girling ~ O’Reilly Radar ★
Algos as the augmentation tools for designers.
“I’ve been following the idea of algorithm-driven design for several years now and have collected some practical examples. The tools of the approach can help us to construct a UI, prepare assets and content, and personalize the user experience. The information, though, has always been scarce and hasn’t been systematic. However, in 2016, the technological foundations of these tools became easily accessible, and the design community got interested in algorithms, neural networks and artificial intelligence. Now is the time to rethink the modern role of the designer.”
Yury Vetrov a.k.a. @jvetrau ~ Smashing Magazine ★
We still don’t what hit us designers.
“Computers can search through immense solution spaces for the ideal design; we might someday talk about ‘discovering a design’ through the joint efforts of human and computer neurons, rather than ‘creating a design’.”
Jon Bruner /brunerjon | @JonBruner ~ O’Reilly Radar ★
After digital disruption we’re now moving into computational disruption.
“Artificial Intelligence promises everything from self-driving cars to self-writing newspapers, but AI may be missing its greatest opportunity in healthcare, where AI-driven ‘conversational interfaces’ hold untapped potential to influence the health and wellbeing of billions of people.”
Thomas Sutton a.k.a. /thomasthinks | @thomas_thinks ~ frog Designmind ★
The blend of creativity, design, and deep understanding of digital technology.
“A primary goal of this research project was to find a set of guiding principles, metaphors and ideas, that inform the development of future theories, experiments, and applications. By combining different domains into one narrative, we formulate a new school, or praxis for creativity: CreativeAI. Its desire is to explore and celebrate creativity. Its goal is to develop systems that raise the human potential. Its belief is that addressing the “what” and “why” is as important as the “how”. Its conviction is that complex ethical questions are not an afterthought, but an opportunity to be creative collectively. Finally, CreativeAI is a question, rather than an answer. Its only demand is more collaboration and creativity. It is an invitation for play!”
Samim Winiger a.k.a. /samimwiniger | @samim & Roelof Pieters a.k.a /roelofpieters | @graphific ~ Medium ~ courtesy of karsalfrink
Get used to it.
“For many years, interacting with artificial intelligence has been the stuff of science fiction and academic projects, but as smart systems take over more and more responsibilities, replace jobs, and become involved with complex emotionally charged decisions, figuring out how to collaborate with these systems has become a pragmatic problem that needs pragmatic solutions. Machine learning and cognitive systems are now a major part many products people interact with every day, but to fully exploit the potential of artificial intelligence, people need much richer ways of communicating with the systems they use. The role of designers is to figure out how to build collaborative relationships between people and machines that help smart systems enhance human creativity and agency rather than simply replacing them.”
(Patrick Mankins a.k.a. @patrickmankins ~ FastCo Design) ★
The new era of design for smartness is on the horizon.
“The addition of sensing and connectivity to products is rapidly changing what we learn from them, how we perceive them, and how we use them. Those same technologies are also feeding backwards, changing how we design products. (…) Wireless sensors and fast processors are popping up everywhere, allowing us to generate volumes of real-time data about human behavior and our world. At frog we define sensing as the ability to harness these real-time data streams to identify patterns, generate insights, and design better experiences for people. As engineers crack the technical challenges, from ultra-cheap sensors to exabyte-scale data processing, designers must discover how we can adapt these technologies to human life.”
(Tue Haste Andersen & Simone Rebaudengo ~ frog DesignMind) ★
We just have to wait for a Turing test of website designs. Was it a synapse or an algorithm?
“However, if you’re doing the job of a web designer properly, The Grid has no way to compete. No artificial intelligence will ever replace a human designer, because design is largely about emotional intelligence. Good design extends into every facet of a website, and it’s not about computers talking to each other, it’s about human beings communicating.”
(Benjie Moss a.k.a. @BenjieMoss ~ Web Designer Depot)
Read it when AI was hot, but then I switched to IA.
“This book tries to explain how minds work. How can intelligence emerge from non-intelligence? To answer that, we’ll show that you can build a mind from many little parts, each mindless by itself.”