Google has published a new policy proposal in response to former President Trump’s call for an AI action plan. The company urges the administration to ease copyright rules on AI training, following a similar request by OpenAI.
Tech firms are increasingly joining forces to shape federal policies on AI. Google’s proposal centers on reducing intellectual property restrictions. The company argues that “fair use” and text-and-data mining exceptions are essential for AI research.
Google Defends Use of Copyrighted Data for AI Training
Google insists that AI models should be allowed to train on copyrighted but publicly available data. The company claims this practice does not significantly harm rights holders. However, critics disagree. Lawsuits have already been filed against Google, accusing it of using copyrighted content without compensation.
U.S. courts have yet to make a final decision on whether fair use laws protect AI companies. Until then, the legal battle over AI training data continues.
Also read: French Publishers Take Meta to Court Over AI Training
Export Restrictions on AI Hardware
Beyond copyright concerns, Google also focuses on AI hardware policies. The company warns that new export rules under the Biden administration could hurt U.S. competitiveness. Google argues that these restrictions place “disproportionate burdens” on cloud computing providers. Microsoft, in contrast, has expressed confidence in complying with the same regulations.
Current export rules limit the flow of advanced AI hardware to certain nations. Some exceptions exist for select companies, but Google remains concerned. The company believes these limits could slow AI progress and weaken the U.S. position in global markets.
It urges a balanced approach that ensures national security while allowing American businesses to compete internationally.
Google Calls for Sustained Government Investment in AI Research
Google’s proposal also stresses the need for long-term investment in AI research and development. The company warns against cutting funding for key research programs and urges the government to maintain grants and support early-stage R&D.
Recent federal budget cuts have alarmed research institutions. Google’s stance aligns with concerns that reduced funding could stall AI advancements and limit access to cutting-edge technology.
Google Pushes for Unified AI Regulations
The growing number of AI-related bills highlights the fragmented U.S. policy landscape. In just two months of 2025, lawmakers have introduced 781 AI-related bills. Google sees this as a problem.
The company argues for a unified federal framework to avoid conflicting regulations across different states. Without a consistent approach, AI developers and users could face confusion and compliance challenges.
Google Opposes Strict AI Liability Rules
Liability remains a major debate in AI regulation. Some policymakers want AI developers to be responsible for how their models are used. Google disagrees.
The company argues that developers cannot always control how AI tools are deployed. Misuse often happens outside the creator’s direct oversight. A recent California bill, SB 1047, attempted to impose strict safety and liability requirements on AI developers.
Google opposed the bill, arguing that end users, not developers, are better positioned to manage AI-related risks. This could be seen as a responsibility shift from manufacturers to consumers.
Overly Strict Disclosure Rules
Google also pushes back against new AI transparency laws. The European Union’s upcoming AI Act will require developers to reveal details about how their models work. The U.S. has proposed similar measures, including California’s AB 2013.
Google warns that such rules could expose trade secrets or help bad actors exploit AI vulnerabilities. The company argues for a balanced approach that protects security while maintaining transparency.
