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Topics Trustworthy AI Summit

The technology and application of artificial intelligence (AI) have been widely used in various fields. Therefore, trustworthy AI has become a highly valued global issue that requires elements such as "fairness", "accountability" and "transparency" to make AI algorithms more transparent, safer and fairer.

There will be a total of 9 keynote speeches and one professional discussion in the forum. Welcome to watch the wonderful speeches of the day.

No.	Topic	Name
1	Developing Trustworthy AI for Medicine and Healthcare	Department of Computer Science & Information Engineering National Taiwan University Prof. Shou-De Lin
2	Explaining Anomalies of Black-Box Regression Function	Mathematics National Taiwan University Prof. Weichung Wang
3	On the Robustness and Learnability of Deep AI Models	IBM Research Dr. Tsuyoshi Ide
4	Uncertainty Quantification - Toward Safe and Transparent AI	Department of Computer Science & Information Engineering National Tsing Hua University Prof. Shan-Hung Wu
5	A Natural Language Interface for Databases to Achieve Transfer Learnability	IBM Research Dr. Jiri Navratil
6	AI Model Inspector: Towards Holistic Machine Robustness for Deep Learning	Auburn University Prof. Wei-Shinn Ku
7	Towards Trustworthy Graph Machine Learning	IBM Research Dr. Pin-Yu Chen
8	Reliable Machine Learning for Dynamic Worlds	Department of Statistics National Cheng Kung University Prof. Cheng-Te Li

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