Automating Supervision of AI DelegatesDownload PDFOpen Website

Published: 01 Jan 2022, Last Modified: 16 May 2023The Cambridge Handbook of Responsible Artificial Intelligence 2022Readers: Everyone
Abstract: To answer the question of what responsible AI means, the authors, Jaan Tallinn and Richard Ngo, propose a framework for the deployment of AI which focuses on two concepts: delegation and supervision. The framework aims towards building ‘delegate AIs’ which lack goals of their own but can perform any task delegated to them. However, AIs trained with hardcoded reward functions, or even human feedback, often learn to game their reward signal instead of accomplishing their intended tasks. Thus, Tallinn and Ngo argue that it will be important to develop more advanced techniques for continuous high-quality supervision – for example, by evaluating the reasons which AIs give for their choices of actions. These supervision techniques might be made scalable by training AIs to generate reward signals for more advanced AIs. Given their current limitations, however, Tallinn and Ngo call for caution when developing new AI: we must be aware of the risks and overcome self-interest and dangerous competitive incentives in order to avoid them.
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