The Role of Expectations

What you expect from an AI system powerfully shapes what you experience. If you've been told a tool is highly accurate, you'll notice its successes and explain away its failures. If you approach it sceptically, you'll spot every error and discount its wins. These expectations aren't just about perception - they change behaviour. Users who expect AI to be capable delegate more to it, check its work less, and invest more effort in learning to use it effectively. Users who expect it to be unreliable use it superficially if at all, creating a self-fulfilling prophecy where the tool underperforms because it's being used badly. Expectations are set by marketing, by first impressions, by what colleagues say, and by media coverage - forces that organisations deploying AI often fail to manage deliberately. Setting appropriate expectations isn't about tempering enthusiasm or managing disappointment. It's about giving people an accurate frame for what a tool does well and where it struggles, so their experience of using it can be grounded in reality rather than hype or fear.