1. Transparency of machines: making machines more transparent, or making them easier for humans to understand and explain, can help humans better understand the behavior of machines and judge their credibility.
2. Robot moral training: By training machines to take more just and moral actions, people's trust in machines can be increased. This kind of training can be achieved by simulating various situations, and humans can supervise and audit machines.
3. Machines have the same working ability: machines can better cooperate, cooperate and communicate with human beings, which can strengthen human trust in machines and machines.
4. Ensure data privacy and security: The protection and security of data is an important condition for building human trust in machines. By using encryption technology and data sharing methods to ensure the security and privacy of data, people can use the machine more safely.
5. International cooperation and standard setting: By establishing international standards and rules for machine behavior, we can increase trust in machines and avoid wasting resources, blind competition and threatening human safety.
Through the above suggestions, the trust problem between man and machine can be alleviated and improved to some extent.