As with other technologies, there are new policy questions that arise with the use of AI, from governance frameworks, application areas, economic impact, and more. Learn more about our points of view on these and other concrete issues.
Policy perspectives
Featured papers
Consultation on the EU AI Act proposal
Consultation on the EU AI Act proposal
Google's recommendations for regulating AI
Google's recommendations for regulating AI
This paper dives into the challenges of implementing effective AI regulation, providing recommendations on how to address practical challenges.
Our views on AI policy
General thoughts and views from Google on AI governance
Google's recommendations for regulating AI
Google's recommendations for regulating AI
This paper dives into the challenges of implementing effective AI regulation, providing recommendations on how to address practical challenges.
Exploring 6 AI myths
Exploring 6 AI myths
In this one-pager we debunk six common misconceptions about artificial intelligence and machine learning.
Building a responsible regulatory framework for AI
Building a responsible regulatory framework for AI
This paper outlines key considerations for global policymakers developing regulatory frameworks for AI.
Responsible Development of AI
Responsible Development of AI
In this paper, we provide an overview of our approach to responsible use and development of AI, and share recommendations for government policy frameworks.
Perspectives on Issues in AI Governance
Perspectives on Issues in AI Governance
This piece and our accompanying blog post outlines key areas where government can work with civil society and AI practitioners to provide important guidance on responsible AI development and use.
Doing our part to share open data responsibly
Doing our part to share open data responsibly
More accessible data can meaningfully help people and organizations, and we’re contributing by responsibly opening datasets, providing access to APIs and aggregated product data, and developing tools. We also consider trade-offs when opening up data, and we aim to balance sensitivities with the potential benefits of sharing.
Accelerating social good with artificial intelligence
Accelerating social good with artificial intelligence
Through the Google AI Impact Challenge, organizations from all around the world shared 2,602 ideas with us on how they want to use AI to address society’s toughest problems. Check out our new report that sheds light on the types of organization using AI for social good and their biggest opportunities and challenges.
Why Google Thinks We Need to Regulate AI
Why Google Thinks We Need to Regulate AI
This op-ed by Google CEO Sundar Pichai in the Financial Times explains why we think balanced and risk-based AI regulation is important.
Google responses to AI governance proposals
Official submissions and replies to government agencies
Response to OSTP RFI on biometric technologies
Response to OSTP RFI on biometric technologies
On January 14, 2022, Google submitted comments in response to the White House Office of Science and Technology Policy’s RFI on public and private sector uses of biometric technologies.
AI, quantum and emerging tech cooperation in the US-EU Trade & Technology Council
AI, quantum and emerging tech cooperation in the US-EU Trade & Technology Council
We outline recommendations for how the US-EU Trade & Technology Council can enable transatlantic cooperation on emerging technology.
Response to NIST AI Risk Management Framework RFI
Response to NIST AI Risk Management Framework RFI
On August 30, 2021, we submitted comments in response to the National Institute of Standards and Technology’s RFI on a proposed AI Risk Management Framework.
Comments on the EU Consultation on the inception impact assessment for adapting liability rules to the digital age and circular economy
Comments on the EU Consultation on the inception impact assessment for adapting liability rules to the digital age and circular economy
On July 28, 2021, Google submitted comments on the European Commission’s consultation on possible changes to the Product Liability Directive to cover AI.
Consultation on the EU AI Act proposal
Consultation on the EU AI Act proposal
Google Comments on NIST’s Four Principles of Explainable Artificial Intelligence
Google Comments on NIST’s Four Principles of Explainable Artificial Intelligence
On October 15, 2020, Google submitted comments on the National Institute of Standards and Technology’s Draft NISTIR 8312: Four Principles of Explainable Artificial Intelligence.
Response to the EC's Consultation on the AI Inception Impact Assessment
Response to the EC's Consultation on the AI Inception Impact Assessment
On September 9, 2020 we submitted Google’s response to the European Commission’s consultation on the inception impact assessment on AI - ethical and legal requirements.
Comments on NITI Aayog's Responsible AI Working Document
Comments on NITI Aayog's Responsible AI Working Document
On August 10, 2020 Google submitted our comments on NITI Aayog's working document, Toward Responsible #AIforAll
Responding to the European Commission’s AI white paper
Responding to the European Commission’s AI white paper
On May 28, 2020, we filed our response to the European Commission’s Consultation on Artificial Intelligence, giving our feedback on the Commission’s initial proposal for how to regulate and accelerate the adoption of AI.
Google Response to OMB's Guidance for Regulation of Artificial Intelligence Applications
Google Response to OMB's Guidance for Regulation of Artificial Intelligence Applications
On March 12, 2020, we submitted our feedback on the White House Office of Management and Budget's proposed guidance to federal agencies for regulation of AI applications.
Google Response to ANPRM on Controls for Certain Emerging Technologies
Google Response to ANPRM on Controls for Certain Emerging Technologies
In January 2019 we responded to the Bureau of Industry and Security's Advance Notice of Proposed Rulemaking Regarding the Review of Controls for Certain Emerging Technologies.