Responsible AI Deployment For Social Development Shaped By Global Leaders At Davos

Global figures in government, business, philanthropy, and civil society used a Davos gathering to stress that artificial intelligence must actively reduce inequality and development gaps, not widen them. The high-level session examined whether current investment, policy, and governance around AI are aligned with social needs, especially in emerging economies and vulnerable communities worldwide.

The dialogue, titled "The AI Impact Flywheel: Government, Business & Strategic Philanthropy", was hosted by H.E. Badr Jafar, UAE Special Envoy for Business & Philanthropy, alongside the UAE Prime Minister’s Office. More than 50 senior representatives from governments, multilateral institutions, global technology firms, philanthropic bodies, and social innovation organisations joined the discussion on the sidelines of the World Economic Forum Annual Meeting in Davos.

Participants examined how policy, private-sector research, and strategic philanthropy can align so AI tools reach underserved communities quickly and safely. They noted that powerful computing resources, large datasets, and specialised talent are still concentrated in a limited number of economies. This imbalance risks deepening existing divides if social applications lag behind commercial deployments.

Speakers highlighted that financial flows into AI are rising sharply, yet relatively little capital is directed towards projects addressing core development challenges. They argued that incentives often favour profit-led applications. Structured cooperation, with governments, companies, and philanthropies each taking defined roles, was presented as essential to redirect more AI capacity toward public-interest outcomes.

In opening remarks, Badr Jafar pointed to a gap between fast-moving AI research and on-the-ground problem solving. "Aligning AI with social innovation is key to unlocking transformative growth, because innovation advances where risk is understood and outcomes are rewarded. In the UAE we have seen how early investment in digital infrastructure, skills, and public-sector adoption – combined with strong governance and trust – has helped move promising ideas beyond pilots and into real-world impact. When government, business, and philanthropy come together around that principle, strategic philanthropy can play a catalytic role in absorbing early risk and investing in the infrastructure that helps what works travel faster and further."

Participants cited the UAE as a working model of this coordinated approach. They referred to the country’s emphasis on early adoption, rapid testing, and course correction, backed by continuous investment in skills, regulation, and public confidence in technology. According to Microsoft’s AI Diffusion Report, the UAE ranks first worldwide, with public trust in AI estimated at roughly twice the level in the United States and much of Western Europe.

Huda Al Hashimi, Deputy Minister of Cabinet Affairs for Strategic Affairs, restated the UAE Government’s focus on deepening multilateral cooperation around AI-enabled technologies. Al Hashimi underlined that policy frameworks should advance responsible innovation, strengthen the global philanthropic ecosystem, and ensure communities everywhere benefit from future-ready tools that support sustainable growth and broader development targets.

Al Hashimi also stressed that impact-driven innovation guides responsible AI deployment. According to Al Hashimi, this principle influences how the sector evolves and helps ensure positive outcomes are maximised. It also supports efforts to anticipate and manage future risks linked to jobs, livelihoods, and access to essential services, as AI systems become more widely embedded in economies.

Sheikha Shamma bint Sultan bin Khalifa Al Nahyan, President & CEO of Frontier25 and The Climate Tribe, highlighted climate-focused applications already delivering wider social benefits. "Many existing AI tools built to support climate adaptation have also generated significant societal impact. It is often the most vulnerable populations, including women, youth, and the economically disadvantaged, that are disproportionately impacted by extreme weather and rising temperatures – but by effectively using AI, we have the ability to use insights on energy production and consumption, develop early warning systems to mitigate risk, and create data-driven strategies to build resilience. The UAE is leading the way in investing in the most innovative technological solutions and, while AI has the potential to help our planet, we have an ethical responsibility to use it with intentionality and transparency."

Beyond climate, contributors discussed how AI is already being used in diagnostics, anticipatory early-warning systems, education delivery, logistics management, and localised public services. Philanthropic and social organisations described using AI tools to identify high-potential initiatives, track impact more accurately, and scale effective programmes. These examples were presented as early evidence that AI can support more proactive and resilient development models.

Global AI-enabled social innovation partnerships

The session also mapped the range of leadership perspectives present. Participants included H.R.H. Princess Beatrice, Founder of BY-EQ; Ray Dalio, Founder of Bridgewater Associates; Musabbeh Al Kaabi, CEO of ADNOC Upstream; Ahmed Galal Ismail, CEO of Majid Al Futtaim; Dr. François Bonnici, Director of the Schwab Foundation for Social Entrepreneurship and Head of Foundations at the World Economic Forum; Dr. Ernest Darkoh, Founder of Broadreach Group; Tom Fletcher, Under-Secretary-General for Humanitarian Affairs and Emergency Relief Coordinator at United Nations Office for the Coordination of Humanitarian Affairs (OCHA); Yalda Aoukar, Co-Founder and Managing Partner at Bracket Capital; Cherie Blair, Founder of the Cherie Blair Foundation for Women; and Dr. Mona Hammami, Managing Partner at Oliver Wyman.

Throughout the discussion, participants called for more structured collaboration between the public sector, private companies, and philanthropic organisations. They argued that public bodies should provide clear governance frameworks, philanthropic capital should support shared digital infrastructure, and businesses should lead in designing, scaling, and maintaining AI solutions. This joint model was seen as necessary to translate research breakthroughs into sustained social outcomes.

The Davos dialogue was described as one element of an ongoing partnership effort to advance AI-enabled social innovation. Further exchanges between the involved organisations are expected after the Annual Meeting. The 56th Annual Meeting of the World Economic Forum is scheduled to gather global leaders from government, business, and civil society from 19–23 January 2026, with AI governance and deployment prominent across the programme.

Across regions and sectors, there was broad agreement that no single actor can manage AI’s opportunities and risks alone. The Davos session highlighted that coordinated investment, shared infrastructure, and responsible regulation are essential if AI is to narrow global divides, support development goals, and strengthen resilience for communities in the UAE, the Middle East, and worldwide.

With inputs from WAM