ITI Explains the AI Tech Stack’s Role in Boosting Global AI Leadership
WASHINGTON – Today, global tech trade association ITI published its new policy explainer The AI Technology Stack and Why It Matters for AI Policy and Governance (opens in a new tab). Representing companies from across the AI tech stack, ITI’s paper offers a collective, clear vision of the layers that enable AI development and deployment—including infrastructure, data, model development and operations, application, and a cross layer of governance.
Understanding the AI tech stack is crucial to safeguarding national and economic security, driving economic growth, and boosting global leadership. As lawmakers consider proposals that either affect the full AI tech stack or implicate certain parts of the AI tech stack, we encourage them to leverage ITI’s document as a helpful resource to ensure policy keeps pace with technological change. Importantly, having common language to describe the AI tech stack will allow policymakers and industry to work together to develop effective and tailored policies, address risks across various layers, and avoid unintended consequences that stifle innovation.
“The ‘tech stack’ has become a popular phrase in AI and broader tech policy conversations, but there is still confusion about what it means for policymaking. Working with our member companies across the full AI ecosystem, ITI provides a straightforward view of the AI tech stack in this new report,” said ITI Vice President of Policy Courtney Lang. “When we think about AI, we often think of consumer applications that we interact with daily. But, these consumer-facing parts of the AI tech stack are built on a vast foundation of interconnected technology that is critical to understand when developing policy and regulations.”
Read the full document here. (opens in a new tab)