Developing Methods for Ensuring the Honesty of AI Systems in Language Generation

This page gives an overview of the alignment problem. It describes our motivation for running courses about technical AI alignment. The terminology should be relatively broadly accessible (not assuming any previous knowledge of AI alignment or much knowledge of AI/computer science).

This piece describes the basic case for AI alignment research, which is research that aims to ensure that advanced AI systems can be controlled or guided towards the intended goals of their designers. Without such work, advanced AI systems could potentially act in ways that are severely at odds with their designers’ intended goals. Such a situation could have serious consequences, plausibly even causing an existential catastrophe.

In this piece, I elaborate on five key points to make the case for AI alignment research.

Source:

https://aisafetyfundamentals.com/alignment-introduction

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

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