Academy Achievers

A successful first Global Dialogue on AI Governance must deliver outcomes that position AI as a societal priority, not solely a technical or regulatory one. It should clearly recognise inclusion, equity, and trust as foundational to effective AI governance, particularly for communities that are most impacted yet least represented in decision-making. Success would also mean elevating capacity as a central issue—ensuring that global participation in AI is not limited by access, infrastructure, or opportunity. In addition, the Dialogue should signal a shift toward greater global coordination, while acknowledging the importance of locally relevant and trusted approaches to AI adoption. Ultimately, success will be defined by whether AI governance begins to reflect the realities of diverse populations, rather than reinforcing existing inequalities. These perspectives are explored further in my best-selling book, She Disrupts: A Black Woman's Journey in STEM and AI Industries, and through my work leading the global #BeMeDigitalInclusion initiative and convening dialogues across Africa, Europe, and the Caribbean. -https://www.linkedin.com/in/paulette-watsonmbe/

• AI capacity-building
• Social, economic, ethical, cultural, linguistic and technical implications of AI
• Transparency, accountability, and human oversight
• Protection and promotion of human rights

My selections reflect a focus on ensuring that AI governance is both inclusive and actionable in real-world contexts. AI capacity-building is critical, as participation in AI systems and governance must extend beyond a limited set of actors to include those who are most impacted but currently underrepresented. Without this, global frameworks risk reinforcing existing inequalities. The social, economic, ethical, and cultural implications of AI are equally important, as AI is not neutral. It reflects the values, assumptions, and data of those who design it. Governance must therefore account for diverse lived experiences to ensure relevance and fairness. Transparency, accountability, and human oversight are essential to building trust. Without trust, AI systems will not achieve widespread adoption or legitimacy, particularly across different regions and communities. Finally, the protection and promotion of human rights must remain central. AI governance must align with global human rights principles to ensure that technological advancement does not come at the expense of equity or dignity. These priorities are informed by my work leading the global #BeMeDigitalInclusion initiative and convening cross-regional dialogues through the She Disrupts platform across Africa, Europe, and the Caribbean, as well as insights explored in my best-selling book, She Disrupts: A Black Woman's Journey in STEM and AI Industries. - https://www.linkedin.com/in/paulette-watsonmbe/

Yes, there are several cross-cutting issues that warrant greater attention within the current thematic areas. First, there remains a critical gap between global AI governance frameworks and local implementation. While initiatives such as the UN General Assembly Resolution 79/325 and UNESCO's Recommendation on the Ethics of Artificial Intelligence emphasise inclusion, human rights, and international cooperation, there is still limited focus on how these principles translate into meaningful participation at the community level. Second, capacity-building as a governance issue requires stronger positioning. The UN's Global Digital Compact highlights the importance of digital inclusion and skills development; however, without embedding capacity as a prerequisite for participation, many regions and underrepresented groups risk remaining excluded from both AI systems and decision-making processes. Third, trust must be treated as foundational infrastructure. Across UN frameworks, trust is consistently identified as essential for adoption and societal benefit, yet it is often framed as an outcome rather than something intentionally built through representation, accountability, and inclusion. Finally, there is an emerging tension between global coordination and local relevance. While multilateral cooperation is critical, AI governance must remain responsive to diverse socio-economic and cultural contexts to ensure equitable outcomes aligned with the Sustainable Development Goals. These considerations are further explored in my best-selling book, She Disrupts: A Black Woman's Journey in STEM and AI Industries, and through my work leading the global #BeMeDigitalInclusion initiative and convening cross-regional dialogues across Africa, Europe, and the Caribbean. -https://www.linkedin.com/in/paulette-watsonmbe/

The current governance gaps, particularly in AI capacity-building, inclusion, and trust—are having a significant impact across the education and digital inclusion sectors, as well as in underserved communities globally. The most pressing challenge is the growing disparity between those who are shaping AI systems and those who are subject to them. In practice, this is creating uneven access to opportunities, with many young people, particularly women and girls from underrepresented backgrounds, lacking the skills, exposure, and pathways required to participate meaningfully in the AI ecosystem. A related challenge is limited institutional readiness. While policy frameworks continue to evolve, many organisations, particularly within education and community sectors—are not yet equipped to translate governance principles into practical, inclusive implementation. This risks widening existing digital and economic divides. However, these gaps also present significant opportunities. There is a clear opportunity to redefine talent pipelines, ensuring that future AI systems are shaped by more diverse and globally representative voices. In addition, there is growing momentum to embed trust, ethics, and inclusion into AI development from the outset, rather than as retrospective considerations. Across regions including Africa, Europe, and the Caribbean, there is also an opportunity to build locally relevant, globally connected ecosystems that align with broader international frameworks while responding to specific community needs. These insights are informed by my work leading the global #BeMeDigitalInclusion initiative and convening cross-regional dialogues through the She Disrupts platform, as well as perspectives explored in my best-selling book, She Disrupts: A Black Woman's Journey in STEM and AI Industries. https://www.linkedin.com/in/paulette-watsonmbe/

The AI Dialogue can play a critical role in advancing international cooperation by establishing a shared global direction that is both inclusive and actionable. It should position AI governance as a collective responsibility, aligning global frameworks with the realities of diverse regions and communities. This includes recognising the importance of inclusive participation, capacity-building, and trust as foundational to effective cooperation. The Dialogue can also serve to connect policy with practice—ensuring that global commitments translate into meaningful impact at the community level, particularly for underrepresented groups. In addition, it can elevate cross-regional collaboration, enabling the exchange of insights and approaches that reflect different socio-economic and cultural contexts. These priorities are reflected in my work leading the global #BeMeDigitalInclusion initiative and convening dialogues across Africa, Europe, and the Caribbean through the She Disrupts platform, as well as in my book, She Disrupts: A Black Woman's Journey in STEM and AI Industries.

The AI Dialogue should build upon existing global frameworks such as the UN Global Digital Compact, UNESCO's Recommendation on the Ethics of AI, and regional initiatives advancing responsible and inclusive AI. It should also connect more intentionally with grassroots and ecosystem-led initiatives that are already delivering impact at the community level. This includes programmes such as the global #BeMeDigitalInclusion initiative and cross-regional dialogues convened through the She Disrupts platform across Africa, Europe, and the Caribbean. The added value of the AI Dialogue lies in its ability to bridge these efforts—aligning high-level policy with practical implementation, strengthening collaboration across sectors, and elevating inclusion, capacity-building, and trust as central pillars of global AI governance. Ultimately, it can serve as a unifying platform that connects global ambition with locally grounded impact, ensuring more equitable participation in the AI ecosystem. - https://www.linkedin.com/in/paulette-watsonmbe/

Stakeholders should contribute through co-creation, not consultation—integrating governments, industry, academia, and grassroots ecosystems. The Dialogue should adopt a multi-level structure linking global policy to community implementation, informed by initiatives like #BeMeDigitalInclusion and insights from She Disrupts: A Black Woman's Journey in STEM and AI Industries.

Women and girls, particularly from underrepresented and developing regions, remain significantly excluded from AI governance discussions, alongside grassroots educators and community-led innovators. Inclusion requires moving from consultation to co-creation—embedding these voices directly into decision-making structures, as demonstrated through the global #BeMeDigitalInclusion initiative and explored in She Disrupts: A Black Woman's Journey in STEM and AI Industries.

Innovative engagement formats should move beyond traditional panel discussions toward more participatory and action-oriented models. This could include co-creation labs, cross-regional dialogue circles, and multi-stakeholder working sessions that bring together policymakers, industry leaders, educators, and grassroots communities to shape shared priorities in real time. In addition, integrating youth and community-led forums would ensure that lived experience informs global decision-making, rather than being treated as an afterthought. Hybrid formats that connect global dialogue with local ecosystems are also critical—enabling insights to flow both ways between international frameworks and community-level realities. These approaches are reflected in my work through the global #BeMeDigitalInclusion initiative and the She Disrupts platform, as well as in She Disrupts: A Black Woman's Journey in STEM and AI Industries, which highlights the importance of inclusive, participatory models in shaping the future of AI governance.

Effective AI governance is reflected in approaches such as UNESCO's Recommendation on the Ethics of AI and the UN Global Digital Compact, which emphasise inclusion, human rights, and accountability. In practice, community-led models like the global #BeMeDigitalInclusion initiative demonstrate how capacity-building and diverse participation can be embedded into AI ecosystems. These approaches are further explored in She Disrupts: A Black Woman's Journey in STEM and AI Industries, highlighting the importance of linking policy with real-world implementation.