Is Artificial Intelligence Worthy of Our Trust?
Artificial intelligence is no longer a futuristic concept. It is rapidly becoming embedded in nearly every aspect of our personal and professional lives. To borrow a line from the Tony Award-winning musical Hamilton, “Look around at how lucky we are to be alive right now!”
We are living through the modern equivalent of a gold rush, but instead of racing west in search of opportunity, today’s “gold” is digital, scalable, adaptive and globally accessible. That gold is AI.
Artificial intelligence is an umbrella term used to describe systems or technologies that demonstrate human-like intelligence. While estimates vary widely, there are now thousands, potentially tens of thousands, of AI platforms operating worldwide. While many people are familiar with the dominant consumer tools, AI has already integrated seamlessly into everyday experiences in ways we often don’t notice.
A rice cooker that automatically adjusts cooking time is using AI. Traffic systems that optimize signal timing based on vehicle density rely on AI to reduce congestion. AI-powered chatbots are reshaping customer experiences in retail, banking and service industries. Whether visible or not, AI is increasingly influencing how we live and work.
The question is no longer whether AI is here to stay. The more important question is: do we trust it?
Public skepticism toward AI remains significant, but research shows it is gradually declining, year over year. As adoption increases, so does familiarity, and with familiarity often comes trust.
At Habits at Work, we evaluate trust with a simple but powerful formula. When determining whether a person, company or technology is trustworthy, people instinctively ask three questions:
Can I believe you? (the question of Sincerity)
Can you do this? (the question of Competence)
Have you done it before? (the question of Reliability)
This creates the Trust Formula. Trustworthiness = Sincerity × Competence × Reliability
Importantly, trust is not additive; it is multiplicative. If any one of these elements equals zero, trust breaks down entirely.
This formula might help explain the evolving relationship between people and AI. The more AI demonstrates competence through consistent performance, the more people begin to rely on it. As reliability grows through repeated positive experiences, skepticism softens. And when AI systems appear transparent, useful and aligned with user needs, perceptions of sincerity begin to emerge.
The future of AI will not be determined by capability alone. It will be determined by trust.