We decide where AI takes us: DataKind's Lauren Woodman urges trust, transparency, governance at Davos

At the 2026 World Economic Forum in Davos, the global conversation around artificial intelligence (AI) reached a critical juncture. As leaders and experts debated whether AI represents the most powerful technology humanity has ever developed, Lauren Woodman, CEO of DataKind, emphasized a crucial perspective: AI’s future is not a fixed destiny but a path shaped by human choices. Woodman cautioned against viewing AI as an unstoppable natural force, urging stakeholders to recognize their role in guiding its development responsibly.

Woodman’s message underscores the importance of trust, transparency, and governance in the AI ecosystem. She highlighted that while AI holds transformative potential across sectors—from healthcare to climate science—its benefits can only be realized if the technology is developed and deployed with clear ethical frameworks. Transparency in AI algorithms and decision-making processes is essential to build public trust and prevent misuse or unintended harm. Without robust governance structures, the risks of bias, privacy violations, and unequal access could undermine AI’s promise.

The CEO of DataKind also pointed out that AI’s trajectory depends heavily on collective human agency. This means governments, corporations, civil society, and technologists must collaborate to establish standards and regulations that ensure AI serves the public good. Woodman’s remarks reflect a growing consensus that AI should not be left to evolve unchecked or solely driven by commercial interests. Instead, a proactive approach involving diverse stakeholders is necessary to navigate the complex ethical and societal challenges posed by AI.

Importantly, Woodman’s perspective challenges the popular narrative that AI will inevitably surpass human intelligence and operate autonomously beyond human control. She argued that such deterministic views risk fostering fear or complacency, which can hinder constructive engagement with AI’s development. By framing AI as a tool shaped by human decisions, Woodman encourages a mindset of responsibility and empowerment. This approach advocates for continuous dialogue and adaptive governance to keep pace with AI’s rapid advancements.

The implications of Woodman’s stance are significant. It calls for increased investment in AI literacy and education to equip policymakers and the public with the knowledge to make informed decisions. It also stresses the need for international cooperation to harmonize AI regulations and address global challenges such as data privacy and algorithmic fairness. Ultimately, Woodman’s message at Davos serves as a reminder that the future of AI is not predetermined by technology alone but is a collective endeavor shaped by the values and choices of society.

In summary, Lauren Woodman’s intervention at the World Economic Forum highlights the critical role of trust, transparency, and governance in shaping AI’s future. By rejecting fatalistic views of AI as an unstoppable force, she advocates for a human-centered approach that prioritizes ethical considerations and inclusive collaboration. This perspective is vital as AI continues to evolve and integrate into every aspect of modern life, offering both unprecedented opportunities and complex challenges.