The rise of artificial intelligence is the fastest technology boom in human history. But this rapid spread isn’t an accident. It is a direct response to deep human needs in the modern world. This project explores how our changing relationship with truth and an overwhelming flood of daily information have created a modern crisis of trust, leaving a cultural vacuum that a social technology like AI is stepping in to fill.

As society has moved away from traditional anchors of truth, we have entered an "AI era" shaped by massive revolutions in media, science, and technology. Within this landscape, two things are happening: first, many people look at AI as an all-knowing truth generator; a modern fallback for the shared authorities we no longer trust. Second, while an ancient sacred text can be cited down to the exact passage and line, the internal machinery of an AI model remains completely hidden from view, transforming a piece of technical code into an object of implicit public faith.

By mapping these human habits, this research directly contributes to CNTR’s mission to champion technological responsibility. Instead of just looking at standard code or policy fixes, this work confronts the deeper cultural reasons why we lean on AI. Ultimately, the project aims to separate sci-fi hype and apocalyptic fear-mongering from the actual, material risks of technology to help us predict and design a more responsible, human-centered digital future.

• How do the technical designs of AI models, like their ability to simulate human-like conversations and empathy, trick us into believing they are infallible, and how does that match up with reality?
• How can we separate the sci-fi storytelling used by tech founders (like dramatic warnings of a robot apocalypse or promises of a utopian future) from the actual, everyday dangers of unchecked AI growth?
• How can understanding our deep human need for certainty, authority, and answers help us better predict where artificial intelligence is heading next?