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AI UX: An Introduction

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Introducing AI UX—a video series that provides a set of ten guidelines to help you design and develop AI-based systems. This episode gives you an overview of the these guidelines.

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Additional Resources:

Loi, D., 2018, Intelligent, Affective Systems: People’s Perspective & Implications, proceedings of CHIuXiD2018, Yogyakarta, Jakarta, Malang, Indonesia.

Loi, D., Raffa, G. & A Arslan Esme, 2017, Design for Affective Intelligence, 7th Affective Computing and Intelligent Interaction conference, San Antonio, TX

Bostrom, N., & Yudkowsky, E. 2014. The Ethics of Artificial Intelligence in The Cambridge Handbook of Artificial Intelligence. Cambridge University Press

Sophia Chen. AI Research Is in Desperate Need of an Ethical Watchdog. Retrieved 14 October, 2017

PwC. 2017. Global Artificial Intelligence Study: Sizing the Prize.

Gershgorn, D. 2017. The Age of AI Surveillance is Here. Quartz
Harari, Y.N., June 23, 2017. Are We About to Witness the Most Unequal Societies in History? The Guardian.

Hi. I am Daria Loi, and this is AI UX. Throughout this miniseries, I will introduce ten guidelines created to assist those involved in the design and development of AI-based systems. By the end of this series, you will have a new set of concepts to consider when developing any application, product, or systems powered by artificial intelligence. Today, I will talk about my research behind the guidelines.

This series is based on a study that aimed to understand people's perceptions and expectations of intelligence systems. This study focused on smart homes, autonomous vehicles, and smart workspaces. I surveyed over 600 people in three countries and personally interviewed 18 in their homes. I also ran a participatory design workshop. My research showed surprising results in people's perceptions of intelligence systems.

When it comes to AI, the amount and type of information provided plays a key role in how people will perceive and whether they will embrace intelligence systems. I also learned about the dominate effect of smart things. This is a phrase I use to describe a correlation between how many AI systems one owns and one's willingness to get more.

I learned that while people prefer helper systems, these are those that focus on safety or practical matters such as prevention and efficiency, that will still want AI to make them feel unique and to reach their lives through controlled serendipity.

Finally, while people like smart things and spaces, they wish to be in full control and do not appreciate independent intelligence to make decisions for them. To put it simply, if there is a power hierarchy, humans strongly feel the machines should be the subordinates.

In this series, you will learn about ten design guidelines that were inspired by and grounded in the research I conducted. In each episode, I will share with you one of the guidelines alongside examples and data.

Thanks for watching. Don't forget to like this video and subscribe. I will see you next week on Tuesday for more AI UX.