On the Promotion of Safe and Socially Beneficial Artificial Intelligence

Global Catastrophic Risk Institute Working Paper 16-1

14 Pages Posted: 1 Aug 2016  

Seth D. Baum

Global Catastrophic Risk Institute

Date Written: July 29, 2016

Abstract

This paper discusses means for promoting artificial intelligence (AI) that is designed to be safe and beneficial for society (or simply “beneficial AI”). The promotion of beneficial AI is a social challenge because it seeks to motivate AI developers to choose beneficial AI designs. Currently, the AI field is focused mainly on building AIs that are more capable, with little regard to social impacts. Two types of measures are available for encouraging the AI field to shift more towards building beneficial AI. Extrinsic measures impose constraints or incentives on AI researchers to induce them to pursue beneficial AI even if they do not want to. Intrinsic measures encourage AI researchers to want to pursue beneficial AI. Prior research focuses on extrinsic measures, but intrinsic measures are at least as important. Indeed, intrinsic factors can determine the success of extrinsic measures. Efforts to promote beneficial AI must consider intrinsic factors by studying the social psychology of AI research communities.

Keywords: artificial intelligence, beneficial artificial intelligence, artificial intelligence safety, social psychology

Suggested Citation

Baum, Seth D., On the Promotion of Safe and Socially Beneficial Artificial Intelligence (July 29, 2016). Global Catastrophic Risk Institute Working Paper 16-1. Available at SSRN: https://ssrn.com/abstract=2816323

Seth D. Baum (Contact Author)

Global Catastrophic Risk Institute ( email )

Paper statistics

Downloads
85
Rank
244,779
Abstract Views
382