137  0 Kommentare Mastercard: The Human Equation: Using AI and Data To Address Global Challenges and Build Inclusive Economies

That was the central question at the recent second annual Impact Data Summit, hosted by the Mastercard Center for Inclusive Growth with the Rockefeller Foundation and data.org, for social impact leaders.

Coinciding with the United Nations General Assembly meeting and Climate Week NYC, conversations at the summit looked at the current realities of data, artificial intelligence and social impact, their impact on the U.N.'s sustainable development goals, the role of cross-sector collaboration to drive that impact, what the future holds for transformative technology and how to make sure that future is sustainable, equitable and accessible.

"As leaders in data, we need to move fast and now, not tomorrow," said Shamina Singh, the president and founder of the Mastercard Center for Inclusive Growth. "Don't leave here without a new partnership, without a new plan, without a new program … AI, I hope you will think, means actionable impact."

Here are the key takeaways that will define the future of data and AI.

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AI can help the world meet its sustainability goals, with humans' help

Data and AI have the potential to help achieve the 17 sustainable development goals laid out by the U.N. in 2015 to jump-start improvements including climate action, gender equality and inclusive economic growth. "Digital technologies can actually help accelerate 70% of the SDG targets, which is quite incredible," said Doreen Bogdan-Martin, secretary-general of International Telecommunication Union, the U.N. specialized agency for information and communication technologies. "Only 15% of the targets are on track."

Her faith is grounded in the game-changing nature of AI. AI can interpret vast amounts of data that no human could ever process. And it can distill that data into something immediately actionable - a necessity as we race against the clock to solve these human crises.

At the same time, human beings must constantly scrutinize AI to understand what it's saying and how it can help generate outcomes that help society and leave no one behind. The wrong outputs and outcomes, said JoAnn Stonier, the Mastercard Fellow specializing in responsible AI and data, "will only get amplified very quickly in this environment." But, she added, "as long as we have the accuracy, we have the right data, and we're doing all of our homework, I do think we're going to start seeing some amazing solutions."

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