包阅导读总结
1. 关键词：Responsible AI、Google Cloud、Public Sector、AI Transformation、Trust
2. 总结：本文介绍了谷歌公共部门在 AI 领域的举措，包括其领导分享的 AI 对政府服务的变革，负责任的 AI 方法，以及在国防部、纽约州等地的应用实例，强调了信任、公平、安全等原则，致力于推动公共部门负责任地使用 AI。
3. 主要内容：
– 谷歌公共部门领导分享 AI 对政府服务的变革
– 强调从联邦到州和地方各级的影响
– 白宫强调透明度和问责制，与谷歌方法一致
– 谷歌负责任的 AI 方法
– 包括透明度和可解释性
– 公平和减少偏差
– 安全和隐私
– 问责制
– 负责任的 AI 实践
– 谷歌云与美国国防部合作打造 AI 显微镜
– 强调伙伴关系
– 项目注重开源、数据实践、隐私安全等
– 纽约州与谷歌云合作的成果
– 解锁负责任的 AI 之旅
– 遵循相关框架和标准
– 提供课程和资源
思维导图：
文章来源：cloud.google.com
作者：Adelina Cooke
发布时间：2024/6/25 0:00
语言：英文
总字数：736字
预计阅读时间：3分钟
评分：88分
标签：人工智能,公共部门,谷歌云,负责任AI,伦理
以下为原文内容
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In this blog series, Google Public Sector leaders share their expertise on how AI is revolutionizing government services. We’ll explore the ways our AI solutions are adaptive, secure, responsible, and intelligent – enabling agencies to serve constituents better than ever before. Explore our thought leadership hub to explore innovative ideas for public service.
AI’s growing impact: A transformation at every level
Artificial intelligence (AI) is rapidly transforming the public sector, from streamlining service delivery at the federal level to driving groundbreaking research and enhancing citizen services at the state and local levels. The White House is championing this transformation while emphasizing the need for transparency and accountability in how AI is leveraged. This commitment to open practices aligns with Google’s approach to responsible AI, providing powerful tools and prioritizing ethical development, trust, and transparency for public sector organizations nationwide.
Google’s responsible AI approach
To build and deploy AI solutions that benefit society, trust is essential. Google’s responsible AI approach encompasses:
- Transparency and explainability: Understand how AI models operate and the rationale behind their decisions.
- Fairness and bias mitigation: Strive for equity across demographics and use cases, proactively addressing potential unintended biases.
- Security and privacy: Ensure robust data protection throughout the AI development and deployment lifecycle.
- Accountability: Adherence to government standards and regulations.
Responsible AI in action: Google Cloud and the U.S. Department of Defense
The Google Cloud Next ’24 discussion with the U.S. Department of Defense highlighted their commitment to responsible AI to build an AI-powered microscope that can help doctors identify cancer for service members and veterans. Speakers Dr. Nadeem Zafar, Director, Pathology & Laboratory Medicine Service, Veterans Affairs Puget Sound, and Scott Frohman, Head of Defense Programs, Google Cloud, emphasized the crucial partnership between AI and human pathologists.
The tool, called the Augmented Reality Microscope (ARM), is deployed at military treatment facilities around the world. The ARM utilizes artificial intelligence algorithms to analyze digitized tissue samples and highlight potential abnormalities to help pathologists find cancer faster and with better accuracy. In the future, ARM can be trained to recognize other diseases and ultimately help develop, educate, and research the study and diagnosis of diseases.
Here’s how the project prioritized responsible AI:
- Open-source approach: Google is open-sourcing the algorithm. This encourages broad collaboration to advance the technology and allows the community to help ensure safe, responsible implementation.
- Robust data practices: The project emphasizes distinct datasets for training, validation, and testing to help reduce unwanted bias and ensure the model’s accuracy.
- Privacy and security: Edge devices that perform analysis locally help ensure patient privacy and fast, reliable results by minimizing the need to transmit sensitive data.
- Adaptability: As the technology matures, incorporating additional training data (such as partially treated tumors) will be crucial for accurate diagnosis throughout the full care journey.
- Expert feedback: Involving medical experts from the outset facilitates responsible development. Continuous pathologist input addresses risks like false positives and helps refine the AI’s capabilities.
This collaborative approach, built on a foundation of responsible AI principles, can pave the way for trustworthy, effective healthcare solutions.
Responsible AI implementation: New York State
The groundbreaking work in New York State demonstrates the power of responsible AI in action. Partnering with Google Cloud, agencies like the Department of Motor Vehicles and New York State Medicaid are not only streamlining services and improving healthcare but also prioritizing fairness, transparency, and ethical considerations. These initiatives, showcased at Gen AI Live + Labs New York, demonstrated how AI, when deployed thoughtfully, can transform the public sector while upholding the highest standards of responsibility, ultimately leading to better outcomes for all New Yorkers.
Unlock your responsible AI journey
Google Cloud is dedicated to fostering the accountable, responsible use of AI in the public sector, leveraging the National Institute of Standards and Technology (NIST) Artificial Intelligence Risk Management Framework (AI RMF) to support federal and state public sector AI adoption. We’re proud to be among the first to complete an independent third-party AI readiness assessment, providing valuable insights as we prepare for future AI compliance.
Interested in learning how you can help your organization unlock AI’s potential while ensuring its responsible application? Take our Introduction to responsible AI course or watch our webinar on harnessing AI for responsible data governance.
Google Public Sector’s new thought leadership hub offers insights and resources on adaptive, secure, and responsible AI. Visit the website to explore case studies, white papers, and resources tailored for the public sector.
