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Computer scientists, cognitive scientists, and legal scholars say AI systems should be able to explain their decisions without revealing all their secrets.
As artificial intelligence reshapes law enforcement, healthcare, education and more, tech firms need to widen their data lens.
Artificial intelligence is becoming a greater part of our daily lives, but the technologies can contain dangerous biases and assumptions—and we're only beginning to understand the consequences.
Discussions of predictive algorithms used by the police tend to assume the police are merely end users of big data. Accordingly, police departments are consumer
The Value-Added Model has done more to confuse and oppress than to motivate.
If you can't say something nice, Instagram will make sure you say nothing at all.
Lawyerist™ is the largest online community of small firm lawyers. We help support and grow small law firms and connect lawyers with a supportive community.
Machine learning is all the rage in the information security industry. But a study by Endgame and University of Virginia suggests that it may be vulnerable to manipulation by sophisticated AI-driven tools.
Algorithms can dictate whether you get a mortgage or how much you pay for insurance. But sometimes they’re wrong – and sometimes they are designed to deceive
Joy Buolamwini is a brilliant coder, but she had an issue: facial recognition algorithms don't always recognize her face unless she wears a white mask. This is an example of the subtle ways in which racial privilege excludes full participation in learning opportunities, so Joy did something about it - she started coding programs that are more inclusive. She started a revolution, and she's ready to get you on board!
Joy Buolamwini is the founder of Code4Rights and a graduate researcher with the Civic Media group at the MIT Media Lab. Joy is a Rhodes Scholar, aFulbright Fellow, an Astronaut Scholar, a Google Anita Borg Scholar, and a Carter Center technical consultant recognized as a distinguished volunteer. As the Chief Technology Officer for Techturized Inc, a hair care technology company and Swift Tech Solutions, a global health tech consultancy, Joy gained technical competency by developing software for under-served communities in the US, Ethiopia, Mali, Nigeria, and Niger. During her Fulbright Fellowship in Zambia, she explored empowering engaged citizens with skills to create their own technology through the Zamrize Initiative
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Joy Buolamwini is the founder of Code4Rights and a graduate researcher with the Civic Media group at the MIT Media Lab. Joy is a Rhodes Scholar, aFulbright Fellow, an Astronaut Scholar, a Google Anita Borg Scholar, and a Carter Center technical consultant recognized as a distinguished volunteer. As the Chief Technology Officer for Techturized Inc, a hair care technology company and Swift Tech Solutions, a global health tech consultancy, Joy gained technical competency by developing software for under-served communities in the US, Ethiopia, Mali, Nigeria, and Niger. During her Fulbright Fellowship in Zambia, she explored empowering engaged citizens with skills to create their own technology through the Zamrize Initiative
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Debuted at the Museum of Fine Arts Boston, The Coded Gaze mini documentary follows Poet of Code Joy Buolamwini's personal frustrations with facial recognition technologies. Learn more at www.ajl.org. Video still incorporated for BehindThe Mac Apple Edu Social Media campaign.
Courts, banks, and other institutions are using automated data analysis systems to make decisions about your life. Let’s not leave it up to the algorithm makers to decide whether they’re doing it appropriately.
The prospect of digital manipulation on major online platforms has reached fever pitch in the last election cycle in the United States. Jonathan Zittrain’s conc
One of the biggest civil liberties issues raised by technology today is whether, when, and how we allow computer algorithms to make decisions that affect people’s lives. We’re starting to see this in
Computers can learn which words go together more or less often and can thus mimic human performance on a test of implicit bias.