Title: The Foundations of Robosociology: Values and The Aggregate Behaviors of Synthetic Intelligences

Biography:

Adam Alonzi is a futurist, writer, biotechnologist, programmer, and documentary maker. He is an interdisciplinary analyst for EthicsNet, a nonprofit building a community with the purpose of co-creating a dataset for machine ethics algorithms. He also serves as the Head of New Media at BioViva Science, as an analyst for the Millennium Project, and as a consultant for a number of technology startups. 

Abstract

Outside of its context, and without any information about the parts to which it is connected, a cell or leaf or animal  can be studied, but not understood in a meaningful way (Mitchell, 2009). Creating moral agents in a hyperconnected world will involve modeling their interactions with entities like and unlike themselves in the face of both predictable and unforeseen events. This will be helpful as groups can behave differently than their individual parts (Schelling, 1969) Keeping AI friendly does not end with giving each AI a set of maxims before letting them loose, but satisfactorily explicating upon the emergent phenomena that arise from the interactions of similarly or differently “educated” machines. Because of the near certainty that synthetic intelligences will communicate rapidly and regularly, it is imperative that thought leaders in AI safety begin thinking about how groups of artificially intelligent agents will behave.