AI Ethics

Recently, a group of rumors that "the death rate of post-80s generation has exceeded 5.2% by the end of 2024" has caused heated discussions, and many people believe it. Later, it was discovered that the "initiator" of this rumor is most likely artificial intelligence (AI)

Source: Jinwen

On February 20, 2025, the National New Generation Artificial Intelligence Governance Professional Committee, in conjunction with the Ministry of Science and Technology, the Ministry of Industry and Information Technology and other six departments, officially released the "White Paper on Artificial Intelligence Ethics and Governance" (hereinafter referred to as the "White Paper").

Artificial intelligence refers to the processes and results of human intelligence being simulated by computer systems or machines, including perception, understanding, learning, reasoning, decision-making and other abilities. As a disruptive technology, artificial intelligence is profoundly changing human production, life and thinking methods, bringing huge potential and opportunities to economic and social development. However, the development of artificial intelligence has also triggered a series of ethical and moral issues. How to ensure the healthy, sustainable and responsible development of artificial intelligence has become a major challenge facing today

The text has 3263 words in total, and it is expected to take 10 minutes to read.The Central Economic Work Conference held in December 2024 clearly stated that

With the rapid development of artificial intelligence , we are facing not only technical issues, but also profound ethical issues. The rise of AGI and ASI are gradually challenging our traditional understanding of

The

After the popularity, government affairs systems in many places were connected. On February 8, the Shenzhen Longgang District Government Services and Data Management Bureau deployed and launched the -R1 full-size model on the government affairs external network, becoming the first government department in Guangdong to deploy and launch the model in the government affairs information innovation environment. On February 16, Shenzhen officially provided model application services to all districts and departments in the city based on the government cloud, realizing the integrated empowerment and upgrading of artificial intelligence government applications based on artificial intelligence.Artificial intelligence is widely used in the field of government affairs, covering government affairs office, urban governance, quick public opinion processing, etc. For example, in the past, manual verification of 1,000-word articles took at least four or five minutes, and they were prone to errors. Now, with the help of being able to be completed in seconds, the efficiency of document processing has been greatly improved. Moreover, artificial intelligence can combine the government context to extract key information and automatically generate proposed opinions to help public officials make quick decisions. For example, in the field of urban governance, the

The development of artificial intelligence technology has brought unprecedented convenience and possibilities to human society. Artificial Intelligence Ethics and Fairness: Algorithm bias and social impact. Today, with the rapid development of technology, artificial intelligence has penetrated into all aspects of our lives. Whether it is medical diagnosis, educational assistance or financial decision-making, AI systems are playing an increasingly important role. However, with the widespread application of AI technology, a problem that cannot be ignored has gradually emerged - **algorithm bias**.Algorithm bias refers to the unfairness or discrimination that AI systems show when processing information and making decisions. This deviation usually comes from the uneven distribution of the data or the unreasonable assumptions of algorithm design.Further investigation found that the proportion of female applicants with higher education qualifications was significantly lower than that of male applicants. This seemingly slight data difference has led to significant gender discrimination after algorithm processing.Through in-depth analysis of user behavior data, it was found that female users prefer to click on articles that are less relevant to their own fields of interest, but these articles are often marked as

According to Al Assistant