Benefits & risks of biotechnology

Abstract

The article delves into the complexities of instilling values into artificial intelligence (AI), specifically addressing the challenge of ensuring that AI systems align with human values and goals. It explores various approaches to value loading, including explicit representation, evolutionary selection, reinforcement learning, associative value accretion, and motivational scaffolding. It also discusses the perspectives of Ernest Davis, who argues that value loading is less problematic than Nick Bostrom suggests and proposes a method for defining minimal ethical standards for AI. Additionally, it offers potential research directions related to formalizing human values, developing alternative value-loading approaches, and assessing the feasibility of specific methods. – AI-generated abstract.