Setting Expectations & Acknowledging Limitations Application Communication Topic Transparency & Trust Snippet Users want to know what the AI being used in the application is actually capable of.
Training Progress Indicator Application System Feedback Topic Transparency & Trust Snippet When the algorithm relies on being trained by a particular user, that user wants to know how far they are through the training process.
Dark Pattern: Faked AI Application Behaviour Topic Transparency & Trust Snippet Users want to know when real AI is deployed and when it's not.
Dark Pattern: Faked Human Application Behaviour Topic Transparency & Trust Snippet Users want to know if are interacting with a human or with an AI. For example, where a customer service chat interface can be handled by either a human agent or a bot, the user wants to know which one they are talking to.
Anti-Pattern: Creepy Behaviour Application Behaviour Topic Transparency & Trust Snippet The user does not want to be creeped out by the way the system behaves.
Anti-Pattern: Mystery Magic Application System Feedback Topic Transparency & Trust Snippet The user does not want to be confounded, confused, otherwise left in the dark as to how an algorithm has generated its result.
Anti-Pattern: Nightmare Fuel Application Display Topic Transparency & Trust Snippet An AI that generates imagery is capable of producing some very unsettling material. The user wants not to be freaked out by this.
Anti-Pattern: Uncanny Valley Application Behaviour Topic Transparency & Trust Snippet The user wants the system to appear to be human... But not at the expense of it looking unsettling.