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<\/figure><\/div>\n\n\n\nIn\n\u201cDesigning for AI\u201d, Emily Sappington talked about her opinions about imbuing\nartificial intelligent components in products. She\nshared her practices both in large companies and startups, indicating that creating\nminimum viable intelligence for AI product is the most important and\nfundamental strategy of product design. Meanwhile, designers should set\nappropriate user expectation for AI interaction process considering the user\u2019s\nsatisfaction. Because user\u2019s interaction with product is a trust-building\nprocess in which quality and ability delivered in product that company promised\ndirectly influence the consequence of user testing. Take voice assistance as an\nexample, \u201cA user who can\u2019t set a reminder with their voice , will not be likely\nto trust the same voice assistant to take down credit card information and\norder pizza.\u201d <\/p>\n\n\n\n
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<\/figure><\/div>\n\n\n\nIn\n\u201cHow to Design With, Not For, Artificial Intelligence\u201d, Joe Meersman began with\nIBM Wason case study and some best practices. Then he\nproposed concrete framework of successful AI delivery, including ideal delivery\nteam for each of the three categories of AI projects and relative delivery\nprocess. <\/p>\n\n\n\n
Similarly,\n\u201cDesigning Transparent AI\u201d from Arathi Sethumadhavan and Dr. Samuel J. Levulis also suggested that designers should set appropriate expectations\nabout what the AI can and cannot do and strive to make various elements of\nsystem performance transparent to users. Then they provided some examples of\nthe techniques that can be adopted to make AI algorithms and vulnerabilities\nmore transparent to users. <\/p>\n\n\n\n
In\n\u201cDemocratization, Industrialization and Augmentation: Where Creativity and\nDesign Craft is Going Next\u201d, Andreas Markdalen proposed three things he believes\nthat are critical to understand where design craft and discipline is going. The\nbarriers for entering design field is diminish and\npeople around the world are starting to participate and contribute. Design\nliteracy is wildly increased and process commoditization is widely used with\nthe emergence of new design tools and platforms, such as Autodraw, Adobe Sensei\nand Simple.io which are achieved by artificial intelligence and machine\nlearning technology. Meanwhile, the popularity of digital transformation promotes\nthe industrialization of digital design. Systemic design helps brand save time\nand effort in delivering value and product to market. Seamless workflow allows\nteam to drive efficiency and automation. Open source tools like Airbnb design\nand generative design in Sketch are starting blend generative design with\nexperience design. As a result, technology helps augment human skill and\ncreativity to a large extent. As designers are starting to co-create alongside AI-driven\nsystems and engines, a new era of systems and product design begins. <\/p>\n\n\n\n
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<\/figure><\/div>\n\n\n\nKristian\nSamarian\u2019s speech \u201cHow AI Will Change The Way We Work\u201d also looks forward to the\nfuture. He indicated AI will likely cause a more significant shift for\ndesigners than previous design shift. Specifically, AI will bring us into an\nera of \u201cteaching\u201d technology. As more work is automated, our design domain will\nchange to augmented human intelligence and\nhuman-machine collaboration.<\/p>\n\n\n\n
\u201cAI is the New UI\u201d shows that AI is bringing a wide range of changes to the design field. Firstly\uff0cAI contributes to efficiency economy, improving the design efficiency. More and more automated design tools have emerged, replacing the repetitive and inefficient design work. As Markdalen mentioned in his speech, Airbnb Design can convert hand draft into prototype in a real time. There has also emerged automatically design tool like \u201cLuban\u201dfrom Alibaba. \u201cLuban\u201d makes use of deep learning and image generation technology to automatically design and generate advertising banners for Taobao, so that the design of advertising can also achieve personalized recommendation. On “Double 11” shopping festival of 2016, Luban made its debut. On “Double 11” 2017, Luban had been able to produce 40 million posters a day, an average of 8,000 posters per second, and each poster was designed according to the characteristics of commodity images. In other words, each one is unique. <\/p>\n\n\n\n
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<\/figure><\/div>\n\n\n\nMore importantly, AI will interconnect all\nthings, thus the design object will shift from single computer or mobile\nplatform to intelligent devices, such as smart voice box, smart TV, smart cars,\netc., forming a multi-scene fusion linkage. Meanwhile, the trend of combination\nbetween software and hardware means design objects are more diverse and design\nreference dimensions are more abundant. \u201cAI is the new UI\u201d indicates the trend\nof wild application of AI as the form as UI and UX, not just screens on\ndevices. According to a report from Accenture in 2017, AI is rising as the new\npurveyor of UI and UX. The leading enterprise technology vendors have also\nregarded AI as the future of computer interfaces. More screenless computing is\non the horizon with the innovation of AI in the field of interaction\n(McKendrick, 2017). Autonomous vehicles and voice-activated home assistants are\njust early examples of intelligent hardware, now more intelligent hardware is\nbooming in business scenarios. Alipay’s face recognition payment is the\nrepresentative of AI’s landing in new retail field. It is a new payment method\nbased on artificial intelligence, biometrics, 3D sensing and big data risk\nmanagement technology. Users can make payment by scaning their faces without using\nmobile phones, which effectively improves the user’s consumption experience and\nthe efficiency of the payment. On September 1, 2017, Alipay landed the first\nface payment machine at the KFC restaurant in Hangzhou. By December 2018, there\nare 23 stores in 11 cities have tried. Not only in KFC, but also in retail\nscenes such as supermarkets and pharmacies, hundreds of cities across the\ncountry have begun to try face payment.<\/p>\n\n\n\n
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<\/figure><\/div>\n\n\n\nThe rapid development of information\ntechnology brings great chance and threat to all walks of life. Every industry\nis exploring more possibilities and thinking about how to take advantage of AI.\nThe design industry needs creativity and emotion, which should play a more\nimportant role in linking AI and humanity in the era of intelligence.\nTherefore, the relationship between design and AI is far more profound and\ncomplex than the work replacement relationship. As Sengers argued in \u201cPractices\nfor a machine culture: a case study of integrating cultural theory and\nartificial intelligence”: \u201cIn order to be able to address contemporary\nhuman experience, we need science and the humanities to be combined into hybrid\nforms which can address the machinic and the human simultaneously.\u201d<\/p>\n\n\n\n
\u2013 Mingqi Rui, Info 601, Professor Chris\nAlen Sula<\/p>\n\n\n\n
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Reference: <\/p>\n\n\n\n
Interaction 19. (2019). Interaction 19 \u2013\n3-8 February 2019 \u2022 Seattle, WA. [online] Available at: https:\/\/interaction19.ixda.org\/program\/7_thursday\/<\/a>\n[Accessed 15 Mar. 2019].<\/p>\n\n\n\n