AI Ethics

In recent recruitment announcements from major manufacturers such as Tencent and ByteDance, **

Source: Jinwen

Source: Jinwen

Source: Jinwen

Post-quantum convolution: signature aggregation based on enhancement gate SNARG. Server-side data insider attack detection architecture based on HSM. Abstract: In this paper, we propose an HSM-based architecture to detect internal attacks on server-side data. Our proposed architecture combines four cryptography-based defense mechanisms: non-certificate-based process authentication , hash-based field integrity , Hash-based field availability , and Hash-based Row . The new architecture aims to detect predefined comprehensive attack models for server-side data customized for HSM-based architectures. The implementation results show that the throughput drop is mostly manageable , indicating that some mechanisms are more or less appropriate depending on the situation. Furthermore, the HBRA mechanism performed well in terms of attack detection time .Abstract: As cloud computing continues to be widely adopted, protecting the confidentiality of data entrusted to third-party cloud service providers has

Source: Jinwen

Source: Jinwen

With the rapid development of artificial intelligence technology, its application in various fields is becoming increasingly widespread, from autonomous vehicles to medical diagnosis, from smart homes to financial analysis, AI is profoundly changing our lives. However, at the same time, the widespread application of AI technology has also brought many ethical challenges, and the definition of scientific and technological development and moral boundaries has become a hot topic of social concern.The ethical dilemma of AI technology is mainly reflected in the following aspects: First, data privacy and security issues. AI technology relies on a large amount of data for learning and decision-making, but the collection, storage and use of data often involve personal privacy and business secrets. How to ensure the security and privacy of data has become a big problem.Secondly, the issues of algorithmic bias and discrimination. The decision-making of AI systems is based on algorithms, and the design and development of algorithms are often affected by the developers

Hey, friends, have you ever seen a beautiful robot who can go shopping, chat, and blink?

Remember to click on Chinese Ethics to follow me online~Professor of Kaiyuan Law School of Shanghai Jiaotong University. Planning Committee Member of the Institute of Chinese Law and Society, Shanghai Jiaotong University. Artificial intelligence ethics have a symmetry and continuity relationship with biomedical ethics, but the responsibility subject, review object, and problem awareness and weight of substantive principles and rules are different from that of biomedical. ethics. The biomedical ethics review process is reflected in a compromise between

Source: Jinwen

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