This reading list from the Institutional Antiracism and Accountability Project explores the intersection of sports and racial justice, in the lead-up to their panel on March 19.
Democracy and development were on the ballot during Indonesia’s national elections earlier this month according to experts at a Rajawali Foundation Institute for Asia event on what Prabowo Subianto’s victory now portends for the future of the country.
Each semester, the Ash Center is proud to host leading scholars and practitioners for events addressing the challenges confronting democracies around the world.
As divisions within the GOP were on vivid display last month during the tumult over the US House Speaker’s gavel, the Kennedy School’s Steve Goldsmith and UT-Austin’s Ryan Streeter ask whether conservatives should embrace a more aspirational, ideas-driven future?
In a new essay, Harvard Kennedy School’s Bruce Schneier goes beyond AI generated disinformation to detail other novel ways in which AI might alter how democracy functions.
During the fifth-annual convening of the Truth and Transformation Conference hosted by the Institutional Antiracism and Accountability Project (IARA), experts discussed challenges as well as best practices for holding organizations accountable for antiracist change.
In a new essay, Bruce Schneier and Nathan Sanders argue that AI is poised to dramatically ramp up digital campaigns and outline how accountability measures across platforms, government, and the media can curb risks.
In a new article for The Conversation, Erica Licht shares five ways that DEI programs have made a difference at colleges and universities throughout the U.S.
Computer scientist turned social scientist Ashley Lee discusses how policymakers and technologists alike can change the way AI is used — or not used — across the globe.
Back-to-school recommended reads from the Harvard Project on Indigenous Governance and Development include books, articles, and podcasts that highlight Indigenous governance narratives.
In a new essay,Mary Graham argues that transparency measures can help curtail AI-related risks but not overnight — transparency efforts require sustained, long-term engagement and effort.
Imagine that we’ve all – all of us, all of society – landed on some alien planet, and we have to form a government: clean slate. How would we govern ourselves?