1 Development background of trustworthy AI

1.1 The risks of AI technology have resulted in a trust crisis

1.2 The global community has attached great importance to trustworthy AI

1.3 Trustworthy AI needs to be guided by systematic approaches

2 Trustworthy AI Framework

3 Support technologies of trustworthy AI

3.1 AI system stability technologies

3.2 AI explainability enhancement technologies

3.3 AI privacy protection technologies

3.4 AI fairness technologies

4 Practical approaches to trustworthy AI

4.1 Enterprise-level

4.2 Industry-level

5 Suggestions for trustworthy AI development

5.1 The process of AI regulation and legislation in China shall be accelerated at the Governmental level

5.2 A comprehensive systematic, and forward-looking layout shall be made at the academic level

5.3 Enterprises’ practices must adapt to the business development and achieve agile trustworthiness

5.4 A communication and cooperation platform shall be set up to create a trustworthy ecosystem at the industry organizations level