Undesirable Capabilities

"Undesirable Capabilities. As agents interact, they iteratively exploit each other’s weaknesses, forc- ing them to address these weaknesses and gain new capabilities. This co-adaptation between agents can quickly lead to emergent self-supervised autocurricula (where agents create their own challenges, driving open-ended skill acquisition through interaction), generating agents with ever-more sophisticated strate- gies in order to out-compete each other (Leibo et al., 2019). This effect is so powerful that harnessing it has been critical to the success of superhuman systems, such as the use of self-play in algorithms like AlphaGo (Silver et al., 2016). However, as AI systems are released into the wild, it becomes possible for this effect to run rampant, producing agents with greater and greater capabilities for ends we do not understand"