News
Hard Numbers: Ukrainian grain stuck, Kagame to run again, Uber lobbied Macron, Iran enriches uranium
Ari Winkleman
22 million: Russia's blockade of Ukraine’s Black Sea ports has trapped some 22 million metric tons of grain stocks inside the country, worsening a global food crisis that'll hurt scores of developing countries. Turkey is trying to negotiate safe passage for the grain shipments, but the Kremlin wants Western sanctions lifted first.
4: Paul Kagame will seek a fourth term as Rwanda's president in 2024. For his supporters, he's a benevolent tough guy who brought economic growth and stability following the 1994 genocide; for his enemies, Kagame is a ruthless dictator who'll go after anyone who crosses him.
124,000: Uber secretly lobbied European politicians to help it disrupt the taxi industry across the continent from 2013-2017, according to a leak of more than 124,000 internal documents. Travis Kalanick, the former CEO of the US ride-hailing company, was chummy at the time with now-French President Emmanuel Macron, who as economy minister allegedly protected Uber while it was operating illegally in France.
20: Iran has begun enriching uranium up to 20% using sophisticated new centrifuges at an underground atomic facility. Meanwhile, reviving the 2015 nuclear deal with the US remains a long shot, with Qatar now hosting indirect talks as the Iranians inch closer to having enough enriched yellowcake to build a bomb.More than half of Americans believe their job is vulnerable to AI. The data tells a more complicated and in some ways more hopeful story.
Artificial intelligence is already helping humanitarian organizations identify people in need, improve supply chains, and deliver assistance more efficiently. But it also introduces new risks.
AI is spreading faster, and the gap is growing wider. What that means in practice isn’t straightforward. In the first edition of AIEI Perspectives, a new editorial series from the Microsoft AI Economy Institute, six experts answer the same questions about who benefits from AI, who’s still waiting, and what shapes that outcome. Their answers don’t all land in the same place. Instead, they offer different ways of interpreting the same challenge — highlighting where views align and diverge and what it may take to close the gap over time. Read the perspectives here.
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