[en] The widespread utilization of AI systems has drawn attention to the potential impacts of such systems on society. Of particular concern are the consequences that prediction errors may have on real-world scenarios, and the trust humanity places in AI systems. It is necessary to understand how we can evaluate trustworthiness in AI and how individuals and entities alike can develop and deploy trustworthy AI systems. In this pa- per, we analyze each element of trustworthiness and provide a set of 20 guidelines that can be leveraged to ensure optimal AI deployment while taking into account the greater ethical, technical, and practical impacts to humanity. Moreover, the guidelines help ensure that trustworthiness is provable and generalizable to any sector where AI models are deployed in the real world.
