Research

Learning from human preferences

Source: OpenAI News 13 Jun 2017

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AI audio in English, based on the NadiAI brief and original source.

Brief

One step towards building safe AI systems is to remove the need for humans to write goal functions, since using a simple proxy for a complex goal, or getting the complex goal a bit wrong, can lead to undesirable and even dangerous behavior. In collaboration with DeepMind’s safety team, we’ve developed an algorithm which can infer what humans want by being told which of two proposed behaviors is better.

Why It Matters

Ia penting kerana ia mengurangkan kebergantungan pada fungsi tujuan manual yang boleh menyebabkan hasil AI tidak dijangka atau berbahaya.

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