Trusted Artificial Intelligence: Technique Requirements and Best Practices

Abstract

The development and adoption of AI have brought numerous problems and potential threats, such as information cocoons, algorithmic collusion, algorithmic bias, privacy, law and ethics problems or issues. To combat these issues, governments all over the world, international organizations and giant tech companies all take actions and reach an agreement that AI should be trusted AI. However, there is no uniform definition on trusted artificial intelligence. In the paper, we make a survey on related works on artificial inte llige nce principles and ethical guide lines. The n analyze the ethical foundations of trusted artificial intelligence and give a definition on trusted artificial intelligence. We propose specific requirements of trusted artificial intelligence from a technical perspective and give explanations on these technique requirements. Finally, we recommend some best practices to achieve trusted artificial intelligence and promote the responsible use of AI.

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