Presentation at Foresight Institute's Intelligent Cooperation Group — Introducing biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks
By Roland Pihlakas
The subject of the presentation was describing why we should consider fundamental yet neglected principles from biology and economics when thinking about AI alignment, and how these considerations will help with AI safety as well (alignment and safety were treated in this research explicitly as separate aspects, which both benefit from consideration of aforementioned principles).
These principles include homeostasis and diminishing returns in utility functions, and sustainability. The presentation introduces our multi-objective and multi-agent gridworlds-based benchmark environments created for measuring the performance of machine learning algorithms and AI agents in relation to their capacity for biological and economical alignment.