Minimum assumptions
To sidestep fruitless debates over terminology, please consider the following set of minimum assumptions about the capabilities of AI-30, that is, AI systems in 2030.
First, these systems will involve extensions, reconfigurations, modifications, innovative variants, and creative combinations of the AI systems that already exist in 2023.
In various ways, these AI systems:
- Can observe data and make predictions about future observations
- Can determine which interventions could change outcomes in particular directions
- Have some awareness of areas of uncertainty in their knowledge, and can devise experiments to reduce that uncertainty
- Can learn from instances when outcomes did not match expectations, thereby improving future performance.
Given their enhanced capabilities, these systems also gain greater skills in areas such as:
- Spying and surveillance
- Classifying and targeting
- Manipulating and deceiving.
Despite their enhanced capabilities, these systems may on occasion miscalculate, hallucinate, overreach, suffer from bias, or fail in other ways – especially if they can be hacked or jail-broken.
The questions that follow do not assume:
- That AI-30 is fully “general” in its reasoning capabilities
- That AI-30 can out-perform humans in every cognitive task
- That AI-30 “really understands” the world in some academically-defined way
- That AI-30 has sentience, consciousness, or independent volition.