# Topic5:  Verifiable/certifiable Trustworthy AI 

## Motivation:
* Many aspects of trustworthy AI (or responsible AI), such as adversarial robustness, backdoor, fairness, privacy protection capabilities, and accountability, have gradually attracted the attention of the industry and academia.
* Current study on trustworthy AI are mostly empirical, and there are few theoretical studies. The verifiable and certifiable trustworthy AI, especially its training, evaluation and test methods, and its underlying insight related with explainable AI, requires theoretical guidance.

## Target:
​Propose research on mechanism and evaluation system of verifiable or certifiable trustworthy AI.

## Method:
​We expect the applicant can conduct Verifiable Trustworthy AI research based on MindSpore, and hope to get your valuable suggestions to MindSpore in the process. We will do our best to improve the capabilities of the MindSpore framework and  provide you with the most powerful technical support.

## How To Join:
* Submit an issue/PR based on community discussion for consultation or claim on related topics
* Submit your proposal to us by email wangze14@huawei.com
