We often call on technology to help solve problems. But when society defines, frames, and represents people of color as “the problem,” those solutions often do more harm than good. We’ve designed facial recognition technologies that target criminal suspects on the basis of skin color. We’ve trained automated risk profiling systems that disproportionately identify Latinx people as illegal immigrants. We’ve devised credit scoring algorithms that disproportionately identify black people as risks and prevent them from buying homes, getting loans, or finding jobs.
Great article for discussing the production of scientific knowledge, shared knowledge, and also the new knowledge and technology theme.
Scientific Cooperation Knows No Boundaries—Fortunately
Infectious diseases, it is commonly said, know no borders, and neither does the knowledge needed to fight them. Scientists around the world routinely share information and collaborate across borders. The current pandemic has scientists working together on platforms such as Slack, and using new tools, such as machine learning, to rapidly detect the novel coronavirus in tests that use large amounts data from multiple sources. This outbreak has demonstrated in real time how scientific understanding can indeed be a global public good.
“Technology feels disempowering because we haven’t built it around an honest view of human nature,” says tech critic Tristan Harris.
What is “brain hacking”? Tech insiders on why you should care
Anderson Cooper: Is Silicon Valley programming apps or are they programming people?
Tristan Harris: Inadvertently, whether they want to or not, they are shaping the thoughts and feelings and actions of people. They are programming people. There’s always this narrative that technology’s neutral. And it’s up to us to choose how we use it. This is just not true.
Fitting for the optional knowledge and technology theme in new TOK course.
After Truth: Disinformation and the Cost of Fake News, investigates the ongoing threat caused by the phenomenon of “fake news” in the U.S., focusing on the real-life consequences that disinformation, conspiracy theories and false news stories have on the average citizen, both in an election cycle and for years to come.
People used to think the crowdsourced encyclopedia represented all that was wrong with the web. Now it’s a beacon of so much that’s right.
By the time the internet came into being, a limitless encyclopedia was not just a natural idea but an obvious one. Yet there was still a sense—even among the pioneers of the web—that, although the substrate was new, the top-down, expert-driven Britannica model should remain in place.