Anthropic, a leader in AI safety and research, is taking a step toward aligning with the European Union by declaring its intention to sign the EU’s General-Purpose AI Code of Practice. This move is part of Anthropic’s ongoing commitment to transparency, safety, and accountability in AI development. The company emphasizes the importance of these values as Europe positions itself to harness the potential of AI technology for future economic gains. While Anthropic aims to comply with regional AI codes, it is simultaneously advocating for the enhancement of AI development infrastructure in the United States. These efforts reflect the company’s broader strategy to advance AI responsibly across different regions.
Anthropic has previously emphasized the need for robust safety frameworks, which aligns with past statements that call for greater transparency and accountability in AI practices. The company’s efforts to support the EU’s flexible yet robust safety standards are consistent with previous initiatives to create a responsible scaling policy. Historically, Anthropic has pursued similar frameworks that focus on addressing systemic risks and accountability in AI research and implementation.
What Path Does the EU AI Code Offer?
The EU AI Code is designed to establish flexible and robust safety guidelines, enabling Europe to maximize its AI potential without stifling innovation. Recent studies suggest that AI could add over €1 trillion annually to the EU economy by the mid-2030s. Anthropic views the Code, in combination with Europe’s AI Continent Action Plan, as vital to empowering broader AI adoption while maintaining strong safety measures. The company has integrated the Code’s principles into its systems, including the Responsible Scaling Policy refined over the last two years.
Can the U.S. Lead in AI Manufacturing?
Anthropic is urging the U.S. government to prioritize investments in energy and infrastructure to facilitate the building of AI in America. The company released a report titled “Build AI in America,” which appeals for fundamental shifts in energy and resource allocation. The report spotlights the demand for substantial energy, predicting the need for at least 50 gigawatts by 2028 to support frontier AI models. It stresses infrastructure improvements and suggests comprehensive investments in workforce training and energy technologies.
According to Anthropic, the U.S. must deploy transformative strategies, such as utilizing federal lands for AI facilities and streamlining environmental permitting processes, to maintain its AI leadership. The company maintains that ready access to energy sources is crucial for training advanced AI models, emphasizing an inclusive approach that taps multiple energy technologies.
Anthropic outlines that robust infrastructure and conducive policies will secure American leadership in AI, facilitating its widespread benefits across various sectors. They stress acting decisively to ensure that AI progress remains sustainable and beneficial within U.S. borders.
As Anthropic advances its dual strategy, balancing regional obligations, such as complying with the EU AI Code, with national interests like advocating for U.S. infrastructure advancements, it sets a precedent for international cooperation and domestic priority. While these commitments may drive the local industry forward, the global landscape calls for a careful balance between compliance and innovation. Companies engaged in AI development must recognize the importance of adaptable safety policies tailored to diverse economic and regulatory environments.