Author: Zen and the Art of Computer Programming
Human society is in an era of information and digitalization. The development of science and technology has greatly promoted social change, making people's lives more convenient, simpler and more comfortable. As people become more and more dependent on technology products, more and more people are relying on various digital service applications. But it also brings about a series of problems, such as personal information leakage, privacy violations, data abuse, algorithm bias, user distrust, etc. These problems seriously threaten the stability and long-term progress of human society. Therefore, in order to protect personal privacy, ensure fairness and justice, and safeguard social and public interests, corresponding democratic values need to be formulated at the legal and institutional levels. In the era of artificial intelligence (Artificial Intelligence), for decades, remarkable results have been achieved around the research, development and industrialization of machine learning, which has given new ideas and inspirations to solve the various problems mentioned above. . So, in this case, how to use the resources that integrate science and technology, law and humanities to inspire all parties to participate in building a fair, open, inclusive, responsible and transparent public society and become the democratic values of the AI era? "18. Democratic Values in the AI Era: Let Technology Create a Better World for the People" is to share this important topic.
2. Explanation of basic concepts and terms
2.1 Definition and characteristics of the AI era
"AI" (Artificial Intelligence) refers to the intelligent functions implemented by computer systems that imitate human neural network structures and behaviors. It is generally believed that in the 21st century, artificial intelligence will revolutionize the field of computing and change the way traditional industries are organized. In the modern "AI" wave, it is mainly divided into the following five major areas:
- Image recognition and understanding: In artificial intelligence engineering, content identification, classification and retrieval can be carried out by analyzing media data such as images, sounds, texts or videos;
- Natural Language Processing: Computers can read and understand human languageÿ