Page 4 - GSR-25 Best Practice Guidelines

Global Symposium for Regulators 2025

Leverage co- and self-regulation Harness data for responsive oversight
Where appropriate, share or delegate responsibilities to Build integrated data systems to assist with effective
trusted partners with clear accountability mechanisms. regulatory compliance. Such systems can combine, among
Support co-regulation with expert institutions, civil society others, industry submissions, sensor data and crowd-
or industry actors – especially in fast-moving areas such sourced information. Detect service gaps, identify risks
as cybersecurity, AI and data governance where less agile early and guide interventions where they matter most,
models could impede investment and innovation. Explore publish interactive dashboards that guide compliance and
means by which regulators can reduce their own and consumer choice. Use these strategies to build holistic
others’ regulatory burdens by pooling and simplifying pictures of market realities with greater granularity.
regulatory models. Consider voluntary mechanisms
co-designed with stakeholders to spur action as a new Modernize engagement through technology
model of regulation, while ensuring competent authorities
safeguard privacy, ethical responsibilities, and related Launch digital portals, interactive open data platforms
obligations. and mobile tools to make decisions transparent and
participation of non-industry users easier. Develop these
Shape innovation for public value projects with the needs of users in underserved or remote
communities in mind. Improve data use by stakeholders
Enable and steer innovation toward inclusive and and stakeholder feedback with tools like chatbots or map-
sustainable connectivity and digital markets that supports based dashboards.
socio-economic development. Embed safety-by-design
and inclusion in decisions on fast-moving areas. Resource
regulators with the ability to collect and analyse consumer Institutionalize experimentation
data and outcome metrics to inform decisions, track real- Test regulatory responses before codifying rules in high-
world benefits, and address disparate impacts of new risk or high-uncertainty areas by using sandboxes, living
technologies. labs, simulations and scenario tools. Leverage recognised
technical standards (e.g. for AI, cybersecurity, digital
III LEVERAGE EMERGING identity, quantum) and standards-based certification to
structure sandboxes and speed safe scaling. Accelerate
TECHNOLOGIES FOR REGULATORY consultation analysis and improve responsiveness with
EXCELLENCE AI-assisted tools. Ensure effectiveness and responsible
innovation by co-designing these experimental
frameworks with industry and other stakeholders.
Use new tools across the regulatory cycle
Where appropriate, integrate technologies such as AI, Design for trust and ethics
big data, blockchain and IoT into regulatory supervision,
compliance and decision-making – working towards them Lead by example in how technologies are used internally.
as embedded capabilities. Examples include regulation Adopt privacy-preserving tools and standards for
through data, real-time spectrum monitoring, automated consumer and industry data, establish clear accountability
compliance alerts and smart licensing systems, among and appeals for automated decision-making as relevant to
other RegTech and SupReg applications. the administrative law of each jurisdiction and aligned with
established global principles on trustworthy AI and data
Co-design such applications to encourage potential protection. Clearly communicate with the public on how
interoperability with industry applications and iterating technologies are being used and what safeguards are in
on experimental, test-case applications. Streamline place.
and simplify regulatory processes for industry to lower
compliance costs and improve the ease of doing business
while maintaining oversight.

Riyadh, Saudi Arabia | 31 August - 3 September 2025 4 www.itu.int/gsr25