I’m interested in data and discrimination, in the things that have come to make us uniquely who we are, how we look, where we are from, our personal and demographic identities, what languages we speak. These things are effectively incomprehensible to machines. What is generally celebrated as human diversity and experience is transformed by machine reading into something absurd, something that marks us as different.
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The reality is we have been so busy calling people names, obsessing over borders and walls, and spreading misinformation that we haven’t even asked hard questions like why do people move? What does US foreign policy and US trade agreements have to do with migration patterns? Remember when those children started walking from Central America to here, and CBS News and a lot of organizations called them “illegal immigrant” children instead of calling them the refugees that they are? What did we do to Nicaragua, El Salvador, and Guatemala so that their countries got so violent that they have to come here? Who started the drug war? What did NAFTA do not only to the United States but to Mexicans, right?
Behind-the-scenes planning is often overlooked by observers and by the media because it’s what the cameras often can’t capture. I’ve witnessed it for fifteen years at the Albert Einstein Institution. This quiet capacity-building and structural work. The planning and preparations that make movements more effective.
We’re losing our ability to forget the things that should be forgotten. Wait until you try to run for Senate or Congress, some of you in this room, and some pictures or text roll up.