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This assistant is not training on your inputs. Its use is subject to Google’s Terms and AI Use Policy. Generative AI is an experimental technology and can make mistakes.
AI
Our approach to making AI helpful for everyone
OVERVIEW
Making AI helpful for everyone is a collective effort. Guided by our AI Principles, we work with industry partners, policymakers, and civil society to advocate for policies and regulation that balance innovation with safe deployment.
CASE STUDIES
Discover our AI Case Studies
Read our AI Principles
REPORT
The TRUST Framework: A Policy Approach to Agentic AI
Read our report
OVERVIEW
Making AI helpful for everyone is a collective effort. Guided by our AI Principles, we work with industry partners, policymakers, and civil society to advocate for policies and regulation that balance innovation with safe deployment.
CASE STUDIES
Discover our AI Case Studies
Read our AI Principles
REPORT
The TRUST Framework: A Policy Approach to Agentic AI
Read our report
Our AI policy priorities
Recent news
FAQs
Partnerships
Perspectives
Resources
Related sites
Our AI policy priorities
Benefits
and adoption
Regulation
and standards
Scientific
breakthroughs
Government
innovation
Benefits
and adoption
Benefits and adoption
AI is helping people be more productive, democratizing knowledge, and accelerating scientific discovery. But to ensure everyone benefits from AI, we need widespread adoption and partnerships across industry, government, and civil society.
2025 Economic Impact Report
Our Life with AI report 2026
Regulation
and standards
Regulation and standards
We support a pro-innovation policy agenda and clear industry-driven technical standards that unlock AI’s opportunities to improve our lives and mitigate its potential risks.
Getting AI regulation right
Our Transparency Report
Scientific
breakthroughs
Scientific breakthroughs
AI’s ability to process vast amounts of data, identify patterns, and generate novel hypotheses is revolutionizing how we conduct research and accelerating the pace of discovery. Governments around the world can take critical steps to empower scientists to drive the breakthroughs of tomorrow.
A Policy Framework for Building the Future of Science with AI
Google.org’s $20 million fund for AI and science
Government
innovation
Government innovation
AI can help governments serve their constituents better. Governments that adopt these tools are operating more efficiently across everything they do—from delivering essential daily services to tackling complex challenges like extreme weather and economic growth.
Public Sector AI Adoption Index 2026
Google.org Impact Challenge: AI for Government Innovation
Recent news
JUL 09, 2026
AlphaEvolve on Cloud uses AI to solve your hardest problems
JUL 08, 2026
Supported by Google.org, Apolitical launches the Government AI Navigator, an interactive database is a living library of active government AI projects globally
JUL 07, 2026
Three new satellites join the fight against wildfires
JUN 30, 2026
Expanding our Heat Resilience data to 50+ global cities
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The 50-year grand challenge cracked by AI
For half a century, scientists struggled to predict how proteins fold—a puzzle at the heart of understanding life and curing disease. Then, five years ago, the AlphaFold team cracked the code.
Watch the video
The 50-year grand challenge cracked by AI
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FAQs
How we train our AI models
What responsible AI means to us
How we’re balancing AI advancement with increased energy needs
Our views on AGI’s potential
Our perspective on AI agents
Our robotics and world models
How we train our AI models
Navigating the intersection of public information and data privacy
Public information isn't just useful for AI training; it's important for a healthy society. Google's AI models are trained mainly on data from the open internet. This includes things like web pages, blog posts, and code — often with text, images, audio, and video. We don't access data from private databases or pages that require a login, unless the website owner allows it.
Generative AI and Privacy
A working paper of our insights on Generative AI and data privacy, and recommendations for applying long-standing protection principles.
Responsible Development And Use of Privacy Enhancing Technologies: How Governments Can Help
A working paper of our latest insights on Privacy Enhancing Technologies (PETs) and Google's approach to developing and using PETs in the products we build for our users and customers.
What responsible AI means to us
Working together to get AI policy right
There's been much discussion about AI responsibility across the industry and civil society, but a widely accepted definition has remained elusive. AI responsibility has come to be associated with avoiding risks, but we actually see it as having two aspects: mitigating complexities and risks, as well as helping to improve people's lives and addressing social and scientific challenges.
To us, responsible deployment is not a single event, but an end-to-end AI Responsibility Lifecycle that integrates safety, security, and ethical considerations from the earliest research stages through to post-launch monitoring.
A shared agenda for responsible AI progress
Our core principles can help guide policy that promote progress while reducing risks of abuse.
Our 2026 Responsible AI Progress Report 
Sharing how we’re applying our AI Principles to the development of our products and research
End-to-end responsibility
Our AI Responsibility Lifecycle is a four-phase process that guides responsible AI development at Google.
Strengthening our Frontier Safety Framework
Our most comprehensive approach yet to identifying and mitigating severe risks from advanced AI models.
How we’re balancing AI advancement with increased energy needs
Powering a new era of innovation
At Google, we operate as a good grid citizen, paying for 100% of the energy we use and the costs directly associated with our growth. Our approach to protect ratepayers also involves bringing new power to the grid, investing in innovative energy solutions, and creating local and long-term jobs in the communities we call home.
The Capacity Commitment Framework 
Our framework for helping to accelerate economic growth while protecting other ratepayers and ensuring we pay for the electricity to serve our operations.
Powering a New Era of American Innovation
15 policy opportunities to increase the capacity of the existing U.S. energy system.
Pennsylvania Energy & Innovation Summit
Our plans to invest in increasing America’s energy abundance and essential AI skills development in the Commonwealth and across the nation.
Our views on AGI’s potential
Driving innovation through responsible AGI development and rigorous safety standards
Artificial General Intelligence (AGI) is AI that’s at least as capable as humans at most cognitive tasks. Integrated with agentic capabilities, AGI could supercharge AI to understand, reason, plan, and execute actions autonomously. Such technological advancement will provide society with invaluable tools to address critical global challenges, including drug discovery, economic growth and climate change. To realize the benefits of this transformational technology, we are putting safety and responsibility at the heart of its development.
Levels of AGI framework
A perspective from Google DeepMind on classifying the capabilities of advanced AI systems.
An Approach to Technical AGI Safety and Security
Insights on how Google DeepMind is taking a responsible path to AGI.
Distributional AGI safety
Frontier AI research on building a safety net that grows and scales automatically with increasingly complex multi-agent systems.
Our perspective on AI agents
Making AI even more helpful
AI agents represent an evolution in AI innovation. Agents help people and businesses get things done by taking action on their behalf and under their supervision. By working across apps and datasets that the user chooses to share with the agent, these tools enable people and businesses to spend more time on what matters most to them. Like Google's other AI tools, AI agents are built to be secure by design and with users in control. This ensures that the technology works for you.
The TRUST Framework: A Policy Approach to Agentic AI
The TRUST framework is a blueprint for governing AI agents that considers how they interact with users and with the digital ecosystem.
Google's Approach for Secure AI Agents
As part of our ongoing efforts to define best practices for secure AI systems, we’re sharing our aspirational framework for secure AI agents.
Our robotics and world models
Safely powering an era of physical agents
To ensure Gemini Robotics benefits humanity, we’ve taken a comprehensive approach to safety, from practical safeguards to collaborations with experts, policymakers, and our Responsibility and Safety Council.
Responsibly advancing AI and robotics
Google DeepMind has developed broad and rigorous safety frameworks so Gemini-controlled robots can be used responsibly in real-life environments.
Partnerships
Earth Fire Alliance
Our partner in building FireSat, a satellite constellation that uses AI to provide near real-time insights on wildfires.
The Government AI Campus
We’ve partnered with Apolitical to prepare 1 million public servants to lead in the age of AI.
Frontier Model Forum
An industry-supported non-profit addressing significant risks to public safety and national security.
Coalition for Content Provenance and Authenticity (C2PA)
The coalition is a cross-industry effort to provide more transparency and context for people on digital content.
MLCommons
A collective that aims to accelerate machine learning innovation and increase its positive impact on society.
PAI.org
A community of experts dedicated to fostering responsible practices in developing, creating, and sharing AI.
See more
Perspectives
U.S. Chamber of Commerce
Small Businesses Are Harnessing AI to Innovate and Compete
OECD
OECD launches global framework to monitor application of G7 Hiroshima AI Code of Conduct
Studies, reports, and whitepapers
The TRUST Framework: A Policy Approach to Agentic AI
Google
AI Responsibility Report
Google
An Approach to Technical AGI Safety and Security
Google DeepMind
Frontier Safety Framework
Google DeepMind
Our Life with AI
Google, Ipsos
The Race to Lead the Quantum Future
James Manyika
United States Conference for Mayors Playbook
Google, USCM
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Google DeepMind
Google Civics Training Center
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