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Can a Machine Learn Inclusivity? That Depends on the Teacher

The 4Q4 podcast returns with an introspective look at machine learning with a researcher who is helping to counteract bias.

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Is the Jury Still Out on Zoom?

Overreliance on platforms like Zoom could result in a further loss of rights for those adversely affected by predictive tech and the digital divide.

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Creating a New Global Standard for Privacy and Location Sharing

A geolocation system developed by citizen scientists could provide potentially life-saving data without eroding the right to privacy.

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Location Privacy: How Protected Are We?

Public Lab is developing a set of tools based on "location blurring," a new system that would mitigate the abuse of big tech surveillance.

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Automating NYC

An interactive tutorial and action guide about automated decision systems in New York City.

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Sorting Algorithms: The Role of Civil Society

Policy expert Rhodri Davies wants civil society organizations to "get to grips" with artificial intelligence, which he says would minimize potential negative consequences.

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Flipping Our Algorithmic Assumptions

When it comes to solving social ills with algorithms, is optimism the enemy? "We should assume they will be discriminatory," writes Lucy Bernholz. "There is no 'clean room' for social innovation."

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Algorithmic Bias: Better Policy and Practice for Civil Society

In this 2018 virtual roundtable, experts in tech and data ethics explore how civil society organizations can work toward better policy for predictive technologies.

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Algorithmic Risk Assessment in Pretrial Detention

With the help of a Digital Impact grant, one Philadelphia-based nonprofit is taking on predictive technology in the criminal justice system, one algorithm at a time.

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Does my algorithm have a mental-health problem?

Thomas T Hills, professor of psychology at the University of Warwick and Fellow of the Alan Turing Institute, explains the ramifications of algorithms, which are "increasingly being made in our own image."

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