UX AI

 https://uxofai.com/

2019

https://medium.muz.li/the-designers-guide-to-ai-driven-ux-afbebdec1be3

2018

https://uxstudioteam.com/ux-blog/ai-ux/

From 2019 article:

1. Differentiate AI content visually
2. Explain how machines think

3. Set the right expectations

4. Find and handle weird edge cases

5. Provide engineers with the right training data

6. User testing for AI products (default methods won’t work here)

7. Provide an opportunity to give feedback

From 2019 article:

Here are some examples of applied categories of AI:

1. Analytic — Risk assessment, sentiment analysis, retroactive analysis
2. Functional— IoT solutions, robots, mechanical apparati
3. Interactive — Personal assistants, chatbots, Google Home, Alexa
4. Text— Natural language processing, text recognition, speech-to-text conversion
5. Visual — Computer vision, augmented reality

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1. Identify and embrace the human need

2. Partner with your data science team

3. Understand the expertise and expectations of your users

4. Surface transparent feedback

5. Provide an avenue for alternatives

6. Anticipate, mitigate, and prevent erroneous responses