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AI isn't a cold, robotic utility—it's an entity with a persona. One of the biggest AI design challenges is engineering a relationship with that persona. As IBM shares, we can understand this relationship through Knapp’s Relational Development Model:
https://www.ibm.com/design/ai/fundamentals/
Being upfront about an AI's confidence levels, errors, potential biases, etc. builds crucial trust.
https://www.microsoft.com/en-us/research/project/guidelines-for-human-ai-interaction/
AI will make mistakes. How your interface handles those failures is make-or-break. “Don’t be afraid to say when you don’t have an answer. It’s okay for an AI to fail, as long as you design for it,” says Lennart Ziburski, designer of the UX of AI (one of my favorite resources).
Those are just a few of the fundamentals. The deeper you go, the more unique challenges emerge for responsible, intuitive AI design. But that's why this space is so exciting, right?