Today, after extensive conversations with governments, academia and civil society, we release 10 AI-political gold standards that offer a practical roadmap to help new economies build AI clear infrastructure, prepare people for AI opportunities and manage AI responsibly.
According to Goldman Sachs, AI could increase global GDP by 7% over a ten -year period, but it depends on widespread adoption. AI is already creating an unprecedented opportunity to accelerate growth and development for everyone. That’s why by 2024, Google launched AI Sprinter’s framework, outlined strategies for governments to pursue AI transformation.
Politicians are increasingly recognizing that governments that seize the AI ​​option will both define digital leadership and accelerate their own development. The most common request across our conversations was to build on the AI ​​Sprinters framework with an action -eligible roadmap, including political recommendations designed to help capture the full potential of AI. To do so, we have synthesized our recommendations in 10 AI-political gold standards, divided into the three most important stages of a country’s AI transformation: to build an AI-clear ecosystem, achieve broad-based AI rehearsal and create an activating political environment.
Innovation Infrastructure-Build the Future AI-Ecosystem
1. Improving shooting capacity and implementing cloud-first policies. Cloud Computing is the gateway to exploit AIS power. Governments should prioritize strengthening national cloud capacity and adopting “cloud -first” policies. E.g. Is Singapore migrated over 80% of the eligible government’s workload to the public cloud.
2. Provide data on public sector available. Access to high quality, open data sets is crucial for AI development. Governments should establish centralized, open-sourced national data storage sites-with the Indiaai mission to create a centralized depot of AI data sets across critical sectors.
3. Easy access to data sets in sensitive contexts. AI activated research in areas such as healthcare can save lives. Governments should facilitate secure access to sensitive data sets. The Provincial Health Data Center (PhDC) in South Africa consolidates health data at personal level to give approved researchers anonymous data sets, ensuring privacy by design.
4. Invest in a sturdy AI -o -Ecosystem. To ignite a vibrant AI ecosystem, governments should implement a start-friendly political environment, encourage public-private partnerships and attract investments in start-ups and AI transformation. Rwanda’s national AI policy facilitates collaboration with the private sector with collaborating in local AI companies.
Broad-based Adoption-Kør National AI diffusion across all sectors
5. Facilitates the government’s adoption of AI. Governments should lead by integrating AI into their operations to improve the effectiveness of public service. The state of Minas Gerais, Brazil, uses Google Cloud AI to streamline environmental violation report processing, data analysis and legal precedent to improve efficiency.
6. Letter SMBS ‘use of AI. Small and medium -sized companies (SMBs) are the largest employers in most economies, and AI is a powerful tool to increase their productivity. Governments should help entrepreneurs access and adopt AI solutions through grants and qualifying programs. The AISTRAL Government’s AI -Admission of Center helps SMBs adopt AI services responsibly and grow their businesses.
7. implement an extensive AI -skill plan. Ensuring that all citizens are ready for the AI ​​era, is crucial and requires an approach that serves everyone – from workers to officials and developers. The National AI strategy of UAes provides education to the public, government employees and voice students. The UAE prime minister’s office launched in partnership with apolitical AI courses for 54,000 public employees. This is part of a Google.org Grant to educate one million state employees globally.
Activating Political Environment-Mørg for Long-Term Success
8. adopting international AI standards in domestic regulation. To avoid regulatory fragmentation and promote global interoperability, governments must adopt international AI standards. Risk management standards such as ISO 42001 provide a strong technical foundation for responsible AI development and implementation.
9. Create or maintain copyright and privacy framework that enables the use of publicly available information. A balanced copyright framework is important to support the responsible development of AI – opening access to the data needed to train these systems – while still ensuring that the legal gardens can protect their creative works. Governments should support copyright laws that enable the training of publicly available content through relevant restrictions and exceptions as exceptions to text and data operations, as seen in Singapore, Japan and the EU.
10. Leverage existing rules as a starting point. To avoid a fragmented regulatory landscape, governments must first assess how existing rules already apply to AI applications before introducing new, AI-specific rules. Israel’s AI program suggests using “soft” regulatory tools and strengthening sector regulators to tackle AI risks to allow step -by -step development of the regulatory framework.
A roadmap for AI management
AI adoption is a national imperative -and our hope is that these 10 AI policy gold standards offer a practical plan to realize its potential. We are obliged to collaborate with governments, academia and civil society to burn innovation and develop secure, responsible AI solutions that work for everyone.