Host: The Japanese Society for Artificial Intelligence
Name : The 35th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 35
Location : [in Japanese]
Date : June 08, 2021 - June 11, 2021
Various problems related to the trustworthyness of artificial intelligence (AI) services have been pointed out, and the necessity of third-party audits and guarantees has been raised in the world. However, the decision-making of AI are uncertain. And significant risks of AI depend on the purpose of AI services, learning data, algorithms, degree of human intervention, user characteristics, and etc. In addition, AI model alone can't mitigate the risks sufficiently and continually. In this study, by using a risk control model (risk chain model) , we classified "Values and objectives to be realized" and "risk scenario" from 30 use cases(AI services) through discussions with experts.