Copilot for Microsoft 365—your AI assistant for work—is built on our existingMicrosoft 365commitments to data security and privacy in the enterprise, enabling you to always stay in control.Watch our video series tolearn how our comprehensive approach to privacy, secur...
以人为中心的 AI (Human-Centered AI) 相关工具 总结与展望 参考文献 摘要 人工智能(AI)技术快速发展,并逐渐深入到各个领域,给生产生活带来了巨大变化。然而,AI 技术的机遇与风险并存。确保 AI 安全、可靠、可控,增强 AI 使用者的信心,是关系到 AI 长远发展的重要议题。发展可信 AI 核心需要关注 AI 的可解释...
Trustworthy AI frameworks can help guide organizations in their development, adoption and evaluation of AI technologies. Several government and intergovernmental organizations have established such frameworks, including the National Institute of Standards and Technology (NIST) in the United States, the Europea...
Trustworthy AI principles are foundational to our end-to-end development and essential for the technical excellence that enables partners, customers, and developers to do their best work. We are buildingdata factories for generative AI services, tools tocurate and validate unbiased datasets for compute...
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...
Our trust in technology relies on understanding how it works. It’s important to understand why AI makes the decisions it does. We’re developing tools to make AI more explainable, fair, robust, private, and transparent.
Trustworthy AI is an approach to AI development that prioritizes safety and transparency for the people who interact with it.
(machine learning,ML)和"神经网络"(neural network,NN)等为代表的AI技术,从几年前有"炒作"嫌疑和爆炸式的登场,到开始入驻气象研究和业务各领域并产生效果和积极影响的过渡年.伴随这样的过渡,"trustworthy"一词被很多学者加在AI之前,组成"可信的AI".强调AI技术可信,既与AI技术本身的神奇有关,还是现代气象科学...
Below, we’ll share details about our top 5 design techniques for building trustworthy AI experiences that came out of the work with our healthcare client. NOTE: To ensure privacy and confidentiality, we’ve replaced the client's name and branding with "WT Wellness" and are referring to thei...
This project focuses on big ideas – for resolving conflicts, fact-checking, ascertaining credibility of claims, explaining predictions from deep fake detectors, developing robust adversarial mechanisms for fake content detection, manipulation and safegu