嘿!即将开始你的第一个AI项目?( 十 )

1)应该保证测试数据的多样性;

2)应该使用大量的测试,来尽可能减少此类错误的发生;

3)如果类似的问题无法避免,应该充分向用户解释,这是系统的局限性;

4)提供用户手动修正错误的机制。

上面我们讲述了在为AI项目设计时,需要注意的五个要点,以用户为中心出发,了解技术的局限性,建立用户的信任感,巧妙的处理错误和摒弃设计者偏见。希望能帮助到正在或将要进行AI项目的设计者和开发者们。

Reference

Human-Centered Machine Learning, Jess Holbrook, 2017People + AI guidebook, GoogleHow to Meet User Expectations for Artificial Intelligence, Kathy Baxter, 2017Design In The Era Of The Algorithm, Josh Clark , 2017Machine Learning is Very Much a UX Problem, Yael Gavish, 2017UX for AI: Building Trust as a Design Challenge, Vladimir Shapiro, 2018AI UX: 7 Principles of Designing Good AI Products, Dávid Pásztor, 2018

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