Opinion

We celebrate the independence that open source affords but are we willing to support the creations it brings about?

Tracy Ann Kosa, a former Non-Resident Fellow at the Digital Civil Society Lab, discusses how and why we need to measure data privacy.

The real question for nonprofits and foundations is not how will they use AI, but how is AI being used within the domains within which they work and how must they respond?

Civil society organizations should guard against “authenticity theft,” a troubling trend that may yet reveal a silver lining.

The humanitarian community should assess wider implications, risks, and unintended negative consequences brought about by this and similar partnerships.

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

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.”

A controversial smart city initiative in Canada has proposed using a data trust to help manage how it collects and uses data. But is it enough? Digital Public’s Sean Martin McDonald investigates.

Nonprofits can move from simply collecting data to leveraging it in ways that advance the mission. But relying on data alone to measure performance can lead to lost identity and resources.

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.”