AI Ethics

——Governance challenges and breakthroughs under the 2025 Technological Wave

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Associate Professor, Master

Artificial intelligence is changing our lives at an unprecedented rate. From smartphones to autonomous cars, from smart speakers to medical diagnostic systems, AI technology has penetrated every aspect of society. However, with the rapid development of AI, a series of ethical problems have also emerged. Privacy leakage, algorithmic bias, employment shocks, and even threats to human existence have triggered widespread discussions from all walks of life. The ethics of artificial intelligence have become an important issue that cannot be ignored in the development of science and technology.The core of artificial intelligence ethics lies in balancing technological innovation and social responsibility. The application of AI technology is not only related to efficiency and convenience, but also to the fairness and justice of human society. Without a perfect ethical framework, AI may become a tool for a few people to make profits, and may even have immeasurable negative impacts on society.The complexity of these challenges suggests that AI ethics requires joint efforts from multiple parties, including governments, enterprises, scientific research institutions and the public

When AI begins to

In the summer of 2024, a new wave of artificial intelligence was set off in the global technology community: breaking through the bottleneck of language understanding, AI painting tools caused copyright disputes, and autonomous vehicles started road testing in many cities. While technology is soaring, the Italian government has banned due to privacy issues, Hollywood screenwriters have gone on strike to protest AI

With the rapid development of technology, artificial intelligence technology in 2025 has penetrated into all aspects of human life. However, the widespread use of AI has also triggered heated discussions on ethical issues around the world. Today, the hot topics of social media and news platforms focus on

Based on the current authoritative reports, the author believes that access in the field of government services mainly presents two modes: internal service and external service. Internal services focus on using auxiliary government staff and government system technology research and development and management teams to improve their work efficiency and quality; while external services are directly applied to serve the general public, and are vividly called

[Quick Review of the Two Sessions] Zhang Mengran At this year’s National Two Sessions, Zhang Tianren, deputy to the National People’s Congress and chairman of Tianneng Holding Group, suggested that an “Artificial Intelligence Management Law” should be formulated in response to a series of socioeconomic, moral and ethical issues that artificial intelligence (AI) may cause.

Since 2018, I have been engaged in AI-related work, and have a cautious but stable attitude towards the development of AI, and are also very interested in unstructured trends. Now, initial concerns about robotic takeover have faded, replaced by discussions around the ethical issues that bring about incorporation of artificial intelligence into everyday business structures.A whole new set of roles are needed to deal with ethics, governance and compliance issues, all of which will have great value and importance to the organization.Perhaps the most important of these are AI ethics experts, who need to ensure that AI systems meet ethical standards such as fairness and transparency. This role will involve the use of dedicated tools and frameworks to effectively address ethical issues and avoid potential legal or reputational risks. Human supervision to ensure transparency and responsible ethics are crucial to maintaining a delicate balance between data-driven decision-making, intelligence, and intuition.

Abstract: How to make artificial intelligence ethics move from moral principles to practice is the focus of attention of all sectors of the world. In this regard, ethics, law, economics, public administration and sociology all provide rich theoretical tools. Among them, principleism is the dominant methodology in the field of artificial intelligence ethics. It has advantages such as flexibility, but it also has a series of problems such as the assumption based on complete rationality. By integrating evolutionary psychology, social and technical system theory, and behavioral economics, building