人工智能(AI)是一门研究和发展模拟、扩展和拓展人类智能的理论、方法、技术和应用系统的科学,为现代人类社会带来了革命性的影响。从微观角度来看,人工智能在我们生活的许多方面发挥着不可替代的作用。现代生活充满了与人工智能应用的互动: 从用人脸识别解锁手机,与语音助手交谈,到购买电子商务平台推荐的产品; 从宏观角...
& Tang, J. (2021). Trustworthy ai: A computational perspective. arXiv preprint arXiv:2107.06641. 中国信息通信研究院,京东探索研究院. (2021). 可信人工智能白皮书 腾讯研究院. (2021). 伦理即服务:科技伦理与可信AI的下一个浪潮 Cover image by rawpixel.com on Freepik...
人工智能的伦理框架要求尊重人类、防止伤害、公平和透明度，这为构建可信AI提供了指导。然而，安全问题如自动驾驶汽车的攻击和算法中的偏见，以及隐私泄露风险，都亟待解决。未来的研究将深入探讨这些维度，以及它们在实际应用中的解决方案，以推动人工智能技术向更值得信赖的方向发展。
In this survey, we present a comprehensive survey of trustworthy AI from a computational perspective, to help readers understand the latest technologies for achieving trustworthy AI. Trustworthy AI is a large and complex area, involving various dimensions. In this work, we focus on six of the ...
Building upon this understanding, a range of defence strategies can be invented for defending against adversarial ML attacks and emerging research areas, such as the integration of secure multi-party computation, differential privacy, and federated learning are used to enhance the resilience of AI ...
Artificial intelligence (AI), broadly defined to include the wide range of statistical methods and computational technologies that enable systems to learn, respond, make decisions and take actions with increasing autonomy, is rapidly becoming an enabler of growth, and a potential game changer, for al...
Artificial intelligence (AI) is increasingly used for prevention, diagnosis, monitoring, and treatment of cardiovascular diseases. Despite the potential for AI to improve care, ethical concerns and mistrust in AI-enabled healthcare exist among the public
Artificial Intelligence applications are rapidly expanding across weather, climate, and natural hazards. AI can be used to assist with forecasting weather and climate risks, including forecasting both the chance that a hazard will occur and the negative
A New Framework for Trustworthy AI Deductive Reasoning byCosmological thinking: time, space and universal causation September 8th, 2024 1x Read byDr. One Audio Presented by Authors: (1) Zhan Ling, UC San Diego and equal contribution; (2) Yunhao Fang, UC San Diego and equal contribution; ...
The adoption of machine learning (ML) and, more specifically, deep learning (DL) applications into all major areas of our lives is underway. The development of trustworthy AI is especially important in medicine due to the large implications for patients