international business and investment union

A successful Global Dialogue on AI Governance should result in practical, coordinated, and actionable outcomes that balance innovation with accountability. First, it should establish a shared baseline of principles for safe, secure, and trustworthy AI, supported by clear governance frameworks that can be adapted across jurisdictions. Second, it should promote alignment between regulatory approaches to reduce fragmentation and support cross-border digital cooperation. Third, the dialogue should prioritize transparency, accountability, and human oversight, ensuring that AI systems are deployed responsibly and with appropriate safeguards. Strengthening mechanisms to address digital risks, including fraud, misuse, and ethical concerns, should also be a key outcome. In addition, the dialogue should support capacity-building initiatives, particularly for emerging markets, enabling stakeholders to understand, implement, and comply with evolving AI regulations and standards. Finally, success should be measured by the creation of ongoing collaboration platforms that bring together policymakers, private sector actors, and legal experts to continuously address challenges and opportunities in the digital economy.

• Safe, secure and trustworthy AI
• Transparency, accountability, and human oversight
• Interoperability of governance approaches
• AI capacity-building

Our selected priorities reflect the need to ensure that AI systems are developed and deployed in a responsible, transparent, and globally aligned manner. We consider safe, secure, and trustworthy AI as a fundamental requirement to build confidence in digital systems, particularly in cross-border business environments. Transparency, accountability, and human oversight are essential to mitigate risks, including misuse, fraud, and unintended consequences. Interoperability of governance approaches is critical to avoid regulatory fragmentation and to facilitate international cooperation, especially as AI systems operate across multiple jurisdictions. Finally, capacity-building is a key priority to support institutions and stakeholders in understanding and implementing AI governance frameworks, particularly in emerging markets, ensuring inclusive and balanced digital development.

Yes, one key emerging issue is the growing intersection between AI governance and digital financial integrity, particularly in relation to fraud prevention, identity verification, and cross-border financial transactions. Another important area is the need for clearer legal accountability frameworks to address liability in cases of AI-related harm or misuse. As AI systems become more autonomous, defining responsibility between developers, operators, and users becomes increasingly complex. Additionally, the role of AI in influencing information ecosystems, including misinformation and digital trust, requires further attention, especially in the context of global communication and economic stability. Addressing these cross-cutting issues will be essential to ensure that AI governance frameworks remain effective, adaptive, and aligned with real-world challenges.

Governance gaps in AI are increasingly impacting the region and business environment, particularly as technological advancements outpace regulatory frameworks. One of the key challenges is the lack of harmonized and clearly defined legal frameworks governing the cross-border use of AI systems. This creates inconsistencies in compliance and complicates risk management, especially in areas such as digital fraud, data protection, and legal liability. In addition, limited institutional awareness of AI governance requirements increases the risk of misuse and operational exposure. At the same time, these gaps present significant opportunities. The region is well positioned to adopt modern, flexible governance models that support innovation while ensuring compliance. The development of internationally aligned regulatory frameworks can also enhance investor confidence and contribute to a more trusted digital environment. Furthermore, strengthening capacity-building initiatives and promoting legal and technical awareness are critical to enabling organizations to effectively navigate digital transformation, particularly as AI adoption expands across financial and commercial sectors. Addressing these governance gaps through international cooperation and standardization will be essential to building digital trust, reducing risks, and supporting sustainable growth in the digital economy.

The AI Dialogue can play a central role in advancing international cooperation by acting as a neutral, inclusive platform that brings together governments, the private sector, and legal and technical experts. It can facilitate the development of shared principles and interoperable governance frameworks that reduce regulatory fragmentation and enable cross-border alignment. This is particularly important as AI systems increasingly operate across jurisdictions with differing legal and regulatory environments. The Dialogue can also promote trust by encouraging transparency, accountability, and the exchange of best practices, including approaches to risk management, compliance, and oversight. Furthermore, it can support capacity-building initiatives by enabling knowledge transfer and providing guidance to emerging markets, helping them to adopt and implement effective AI governance structures. By fostering continuous engagement and coordination, the AI Dialogue can contribute to a more coherent, balanced, and globally aligned approach to AI governance.

The AI Dialogue should build upon and connect with existing international initiatives, including multilateral efforts on digital governance, regional regulatory frameworks, and public consultation platforms that promote stakeholder engagement. In particular, initiatives led by International Organisations, as well as regulatory developments in major jurisdictions, provide valuable reference points for establishing common standards and best practices. The added value of the AI Dialogue lies in its ability to bridge gaps between different frameworks and stakeholders, ensuring greater coordination and alignment across regions. It can also serve as a platform for integrating legal, economic, and technical perspectives, which is essential for addressing the complex nature of AI governance. Additionally, the Dialogue can enhance inclusivity by providing smaller and emerging market participants with a voice in shaping global AI governance discussions, ensuring that outcomes are balanced and widely applicable. Ultimately, its role should be to complement existing efforts while strengthening global cooperation and promoting practical, implementable solutions.

Different stakeholders can contribute to the AI Dialogue by bringing diverse expertise and practical perspectives. Governments should provide regulatory direction and ensure alignment with national and international frameworks. The private sector can contribute through innovation, implementation insights, and real-world use cases. Legal and policy experts play a key role in ensuring that governance frameworks are enforceable, balanced, and aligned with existing legal systems. To ensure effectiveness, the Dialogue should adopt a structured and multi-layered format, including thematic working groups, regional consultations, and public-private roundtables. This would enable focused discussions while ensuring inclusivity. In addition, continuous engagement mechanisms, such as follow-up sessions and knowledge-sharing platforms, should be established to ensure that outcomes are not only discussed but also implemented.

Several voices remain underrepresented in global AI governance discussions, particularly stakeholders from emerging markets, small and medium-sized enterprises (SMEs), and legal practitioners dealing with real-world implementation challenges. Additionally, perspectives from regions with rapidly evolving digital economies are often not sufficiently reflected, despite facing unique regulatory and operational challenges. To address this, the AI Dialogue should prioritize inclusive participation by creating accessible platforms, supporting regional representation, and enabling contributions from a broader range of stakeholders. This could include targeted outreach, capacity-building initiatives, and simplified participation mechanisms. Ensuring diverse representation will lead to more balanced, practical, and globally applicable governance outcomes.

Innovative engagement formats are essential to foster meaningful and dynamic participation in the AI Dialogue. This could include interactive workshops, scenario-based discussions, and case-driven roundtables that focus on real-world challenges and solutions. Digital collaboration platforms can also be used to facilitate continuous participation beyond formal sessions. In addition, hybrid formats combining in-person and virtual engagement can increase accessibility and global participation. Structured feedback mechanisms and open consultation channels should also be integrated to ensure that contributions are effectively captured and reflected in outcomes. Such approaches will enhance engagement, encourage practical contributions, and support more impactful and actionable results.

Effective AI governance can be advanced through a combination of risk-based regulatory frameworks, practical implementation mechanisms, and multi-stakeholder collaboration platforms. A key policy approach is the adoption of risk-based classification models, similar to those emerging in major jurisdictions, which ensure that AI systems are regulated proportionately based on their potential impact. This supports innovation while maintaining accountability and safeguards. Practical mechanisms such as regulatory sandboxes have proven effective in enabling controlled testing of AI technologies, allowing both regulators and businesses to assess risks, refine compliance requirements, and accelerate responsible deployment. In addition, structured public consultation platforms, including those used by international institutions, play a critical role in fostering inclusive and transparent policy development by incorporating input from diverse stakeholders across jurisdictions. From a governance perspective, strengthening compliance frameworks-such as data protection standards, audit requirements, and accountability mechanisms-is essential to ensuring trust and legal clarity in AI deployment. Finally, capacity-building initiatives and cross-border knowledge-sharing platforms are vital to supporting organizations, particularly in emerging markets, in understanding and implementing evolving AI governance standards. These combined approaches provide practical, scalable solutions that enhance trust, reduce systemic risks, and support sustainable growth in the digital economy.