The resource-rich Southern African nation of 35 million is on a knife’s edge this week, awaiting official results of the Oct. 9 presidential and parliamentary elections.
So far, things are not looking good.
Preliminary results show the candidate of the long-ruling Frelimo party in the lead, but EU election observers say there were irregularities in the vote count. Supporters of opposition leader Venancio Mondlane clashed with riot police on the streets of Maputo, the capital, on Monday, after a weekend in which Mondlane’s lawyer and another prominent opposition figure were shot dead in a car. The two men had pledged hours earlier to officially challenge the legitimacy of the election at the constitutional court. Coincidence? Mondlane doesn’t think so: He has blamed the government for the murder.
Frelimo, in power for half a century, has been accused of vote rigging and human rights abuses in the past, and rights groups said the party had clamped down on dissent ahead of the vote.
At stake: Two-thirds of Mozambicans live in extreme poverty, and the country is struggling to eradicate a localized jihadist insurgency that has been blocking expansive natural gas developments. Election-related violence could make things worse on both counts.As America approaches its 250th anniversary, Bank of America is investing in the legacy of leadership — committing $5M to the Theodore Roosevelt Presidential Library and conserving 110 presidential portraits at the Smithsonian National Portrait Gallery, so the history of leaders who defined our nation is preserved for generations to come. Learn more here.
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.