{"id":22371,"date":"2025-10-29T11:37:24","date_gmt":"2025-10-29T11:37:24","guid":{"rendered":"https:\/\/www.gsma.com\/solutions-and-impact\/connectivity-for-good\/public-policy\/mobile-policy-handbook\/?p=22371"},"modified":"2026-02-28T09:22:08","modified_gmt":"2026-02-28T09:22:08","slug":"artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.gsma.com\/solutions-and-impact\/connectivity-for-good\/public-policy\/mobile-policy-handbook\/business-environment\/artificial-intelligence\/","title":{"rendered":"Artificial intelligence"},"content":{"rendered":"
<\/p>\n

Background<\/h3>\n

Artificial intelligence (AI) is being integrated in products and services at an incredible pace. As the development and adoption of AI has increased, governments have become highly engaged, considering how this technology could be best used to benefit the economy and society while also managing potential risks.<\/p>\n

The governance of AI varies, reflecting differences in government priorities, from digitalisation, to risk management, to economic growth. The EU was the first to agree on broad AI legislation focused on transparency, accountability and human rights. The United States is taking a market- driven approach through significant investment in infrastructure and public-private partnerships. China has a state- centric model with technology- specific laws enforcing strict government oversight and control. Meanwhile, countries such as Singapore are promoting international collaboration and responsible innovation through shared governance frameworks aligned with internationally agreed principles.<\/p>\n

The telecoms sector plays a crucial role in the development and use of AI, providing high-speed, low-latency connectivity between users, data centres and cloud services \u2013 all of which are essential for a reliable AI ecosystem.<\/p>\n

Telecoms operators also capture high-quality, localised network metadata and customer behaviour data that can be used to design and train AI products and services for enhanced public services, to increase industrial capacity and for AI research and development.<\/p>\n

Operators themselves use AI in many aspects of their business, including for network and traffic optimisation, security (such as fraud and scam detection), energy efficiency and edge-computing integration. As use cases are still emerging it is important innovation isn\u2019t stifled by overly burdensome or technologically outdated regulation.<\/p>\n

To leverage AI for the welfare of people and the planet, it is crucial that AI be designed, developed and deployed with ethical considerations in mind and respecting the rights of consumers, including their right to data privacy. To this end, the mobile industry has adopted principles for responsible AI (RAI): fairness, human agency and oversight, privacy and security, safety and robustness, transparency and explainability, sustainability and accountability. These are in line with internationally agreed principles such as those developed by the OECD and UNESCO. To support operators in realising these principles, the GSMA has developed a range of practical tools, offering clear steps to implement RAI across their organisations.<\/p>\n

Debate<\/h3>\n

How can legislators, regulators and the AI ecosystem, including MNOs, engage <\/em>effectively to support and contribute to the AI transformation?<\/em><\/p>\n

What<\/em> governance<\/em> framework<\/em> strikes<\/em> the<\/em> right <\/em>balance between ethical and responsible development and use of AI, while fostering innovation and technological development?<\/em><\/p>\n

What kinds of policies can foster a thriving AI ecosystem while ensuring responsible use of power and preventing abuse of dominance?<\/em><\/p>\n

\n<\/div>\n\n\n

<\/p>\n

Industry position<\/h3>\n

As the development and adoption of AI accelerate, policymakers, regulators and industry must work together to realise the benefits in a responsible and sustainable way.<\/p>\n

It is important that governments facilitate investment in the AI ecosystem, including the infrastructure that enables it, such as telecoms networks, to maximise opportunities for society and the economy.<\/p>\n

Governments should prioritise research and development and incentivise partnerships across the AI ecosystem to ensure innovation and future competitiveness. They should also foster an environment that attracts and cultivates AI talent, while expanding digital skills programmes to help citizens and industry keep pace with rapidly evolving AI technology. Governments can also adopt AI to enhance public services, such as infrastructure planning, health care and disaster response.<\/p>\n

Creating a clear and consistent policy environment that encourages the development and use of AI is vital. Using shared governance frameworks based on internationally agreed principles for AI can support the global harmonisation of rules. Policymakers should work with industry, including through collaborative governance mechanisms such as time-limited regulatory sandboxes, to allow new ideas and emerging technologies to be tested. To ensure that regulation keeps pace with technological advances, investment in institutional capacity building is recommended to equip policymakers and regulators with up-to-date knowledge and global best practices. This will shape more informed and evidence-based policy responses.<\/p>\n

By pursuing these actions, policymakers and regulators can help create an environment in which AI innovation thrives, delivering long-term social and economic benefits while ensuring the technology is used responsibly and ethically.<\/p>\n

Resources<\/span><\/h3>\n

The Mobile Industry and AI,<\/a> GSMA, 2023<\/p>\n

AI for Impact website,<\/a> GSMA<\/p>\n

The GSMA Responsible AI Maturity Roadmap<\/a><\/p>\n

Distributed inference: how AI can turbocharge the edge,<\/a> GSMA Intelligence, 2025<\/p>\n

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