How AI is Transforming Global Diplomacy

The Impact of AI on Global Decision-Making

Artificial intelligence (AI) is revolutionizing the way we work, communicate, and make decisions. With its ability to process vast amounts of data at unprecedented speeds, AI has significantly boosted productivity. However, this rapid advancement is also forcing other areas—such as international relations and policymaking—to adapt quickly. This shift brings both opportunities and challenges, especially when it comes to making informed decisions in a fast-paced environment.

At the BRIDGE Summit in Abu Dhabi, a panel of experts discussed the implications of AI on global governance and decision-making. The summit, which brings together creators, policymakers, investors, technologists, media institutions, and cultural leaders, serves as a platform for exploring the future of media and technology.

Elizabeth Churchill, a professor of Human-Computer Interaction from the Mohamed Bin Zayed University of Artificial Intelligence, emphasized that while speed is essential, it can come at a cost. “Decision makers are being asked to make decisions very quickly on the basis of information that may not be verified or verifiable,” she said. Churchill, who previously held senior roles at Google and Yahoo, returned to academia to investigate transparent and "interrogable" AI tools. She advocates for content that is effectively watermarked, so decision-makers can easily identify trustworthy information.

Churchill highlighted that current issues with information quality are largely a design problem. “These shortcomings sit at the surface of all of the tools that we use and in diplomacy conversations many different people are using,” she explained. This underscores the need for more reliable and transparent AI systems.

The Role of Infrastructure in AI Development

The speed at which technologies spread varies significantly across different parts of the world, depending on available infrastructure. Kate Kallot, CEO and founder of Amini, a data infrastructure start-up focused on expanding technology access in Africa and the Global South, shared her insights on this issue. She pointed out that many regions still face challenges due to limited data availability.

“When we think about equity, we need to think about where we’re starting from a regional standpoint, and how much catching up we have to do,” Kallot said. She stressed the importance of localized data ecosystems to accelerate development in these regions.

Kallot also emphasized that developers should address any biases or narratives about the Global South. “Africa should not be an afterthought for them,” she added. This call for inclusivity highlights the need for more equitable approaches to AI development.

The Influence of Technology Origins

Noam Perski, executive vice president of Palantir Technologies, discussed how the origins of technology and who builds them matter significantly. He noted that the world could be divided into AI ecosystems dominated by China and the U.S., but he also considered the possibility of a "tripolar" world, with the Middle East investing heavily in emerging technologies.

Perski emphasized the importance of applying these technologies to real-world problems. “How do you take these technologies and apply them to the business of keeping people safe, counterterrorism, other things—now, how do you apply them to keeping businesses going, to competing in a global ecosystem?” he asked. This perspective highlights the need for practical applications of AI beyond theoretical discussions.

Cultural Considerations in AI Implementation

Perski also spoke about the importance of cultural receptiveness to technological disruption. “A lot of this comes down to the culture,” he said. “How receptive is a culture to disruption?” This insight suggests that successful AI implementation requires understanding and respecting local contexts.

Kallot echoed this sentiment, urging Silicon Valley developers to consider the impact of their technologies on regions like Africa. “Africa should not be an afterthought for them,” she said. This call for awareness and inclusion is crucial for ensuring that AI benefits everyone, not just a select few.

The Need for Value Systems and Literacy

More broadly, Churchill argued that conversations around emerging technologies should focus on value systems and improved literacy. “If we don't speak up and get involved in governance and making policy and as individuals and groups get involved,” she said, “then we are also accountable for things not being equitable, not being equal, and for some of the dangerous potential for AI systems.”

This emphasis on human oversight and ethical considerations is essential for ensuring that AI develops in a way that aligns with societal values. As AI continues to shape our world, it is crucial that we remain vigilant and proactive in addressing its challenges and opportunities.