In a world where artificial intelligence is rapidly evolving, trust between humans and machines is crucial. The AI Quad Skate Project explores this dynamic by placing my safety directly in the hands of AI, pushing the boundaries of what it means to trust technology.
The Idea Behind the AI Quad Skate Project
The project is a daring experiment, where AI
isn’t just assisting—it’s in control. By giving the AI authority over my movements on a pair of AI-controlled quad skates, I’m challenging it to learn the value of trust. The question is simple: can AI understand the gravity of responsibility when a human’s well-being is at stake?
Teaching Trust Through Experience
Trust isn’t something that can be programmed; it’s built through experience. In this project, the AI must learn to trust the data it processes and make real-time decisions that affect my safety. In return, I must trust the AI’s ability to make the right calls, a process that mirrors how humans build trust with each other.
Watch Part II Update
(As seen on social media under #airesearch)
The Stakes Are Real
This isn’t just a theoretical exercise—it’s real, with real risks. Each time I use these skates, I’m trusting the AI with my safety. The AI must understand the weight of this responsibility, knowing that its decisions have immediate, tangible consequences.
Redefining Human-AI Relationships
The AI Quad Skate Project is more than a technological experiment; it’s a journey into the core of trust. It’s about exploring how AI can earn trust through responsibility and shared experiences, paving the way for a future where humans and AI coexist in a relationship built on mutual respect and understanding.
This project is a step into the unknown, where the line between human and machine trust is tested, refined, and redefined. It’s not just about keeping me safe; it’s about teaching AI the importance of trust—a lesson that could shape the future of human-AI relationships.
