Understanding the Trust Dynamics
The emergence of artificial general intelligence (AGI) presents a unique challenge: not only must humans learn to trust AGI, but AGI must also determine which humans it can trust. As AGI becomes more integrated into daily life, it will need to evaluate the trustworthiness of approximately 8 billion people. This need for discernment raises significant ethical and practical questions about how AGI should approach trust.
Key Insights on AGI Trustworthiness
- Trust cannot be a blanket assumption; AGI should not automatically trust all humans.
- Humans do not trust everyone, which suggests AGI should adopt a similar approach to trust.
- Relying on human committees to determine trustworthiness is impractical due to the vast number of users.
- AGI should analyze trust based on various dimensions like competence, integrity, and benevolence, similar to human judgment processes.
The Bigger Picture of Trust in AGI
The duality of trust—how humans trust AGI and how AGI evaluates human trustworthiness—poses a complex challenge. If AGI misjudges trust, it could lead to harmful outcomes, especially if users blindly follow its advice. Addressing this issue is critical before AGI becomes a common part of human life. Establishing a reliable framework for trust will help prevent potential dangers and ensure a balanced relationship between humans and AGI.
