Digital Ethics

New tools give tech giants the power to shape communities and change behaviour, says Michael Veale lecturer in digital rights and regulation at University College London

The media and the academic world are filled with stories and analyses of how AI will impact our economy. Yet with few exceptions, this work is focused on the impacts that might occur through...

ABA Journal

“"Algorithms are racist because we are racist." Data scientist @mathbabedotorg warns that, despite the appearance of fairness and objectivity, most algorithms reinforce the old biases we hoped they'd eliminate https://t.co/gZKvkLFNSN”

Over 1,500 mathematicians have signed a letter urging the community to stop working with police.

Facebook has been ordered to curb its data collection practices in Germany after a landmark ruling on Thursday that the world's largest social network abused its market dominance to gather information about users without their consent.

“BREAKING: We're filing a complaint against Detroit police for wrongfully arresting Robert Williams, an innocent Black man — all because face recognition technology can't tell Black people apart. Officers hauled him away in front of his kids and locked him up for 30 hours. https://t.co/84XJs0XWq...

The careful wording of public pledges leaves plenty of room for oppressive uses of the technology, critics say.

Robert Williams says his driver's license photo was incorrectly matched with a wanted suspect. He says he was arrested and detained. Though the case was dropped, Williams says its effect is lasting.

Crime-prediction technology reproduces injustices & causes real harm

The news: An open letter from a growing coalition of AI researchers is calling out scientific publisher Springer Nature for a conference paper it reportedly planned to include in its forthcoming book Transactions on Computational Science & Computational Intelligence. The paper, titled “A Deep Neural Network Model to Predict Criminality Using Image Processing,” presents a…

An image of @BarackObama getting upsampled into a white guy is floating around because it illustrates racial bias in #MachineLearning. Just in case you think it isn't real, it is, I got the code working locally. Here is me, and here is @AOC. pic.twitter.com/kvL3pwwWe1— Robert Osazuwa Ness (@osazuwa) June 20, 2020

Feds charged six with launching an "aggressive cyberstalking campaign" over articles critical of eBay.

Police forces across the country now have access to surveillance technologies that were recently available only to national intelligence services. The digitization of bias and abuse of power followed.

Amazon’s Rekognition platform has come under fire over the years

IBM is also advocating for police reform.

A few weeks ago, Zoom admitted that they literally NEVER CONSIDERED how their product would be used to harm vulnerable populations, but now they see us, so that’s progress ¯\_(ツ)_/¯ https://t.co/2bRk3IFFi4— All I don't wanna do is zoom-a-zoom-zoom-zoom (@hypervisible) June 1, 2020

In the midst of a pandemic, your voice assistant might need some tweaks.

You’d get basically the same results if you mounted a thermal camera on a pole next to the grocery store.

You want to replace books with laptops? You might be doing more harm that good unless you have these contingent issues covered in advance. #edtech #edtechknow #Broussard pic.twitter.com/3bdyNZESfG— Abeba Birhane (@Abebab) April 11, 2020

One well-liked diversity training program at Google called Sojourn was cut entirely, according to seven former and current employees.

The personal details of 3.68 million MobiFriends users have been posted online in April 2020.

It seems Tesla isn't taking full care of its customers' personal data when replacing infotainment and Autopilot hardware in some of its vehicles.

Twitter has launched a new, limited test which will provide warnings on tweet replies that use potentially harmful language.

A group of Harrisburg University professors and a Ph.D. student have developed automated computer facial recognition software capable of predicting whether someone is likely going to be a criminal. With 80 percent accuracy and with no racial bias, the software can predict if someone is a criminal based solely on a picture of their face. The software is intended to help law enforcement prevent crime. Ph.D. student and NYPD veteran Jonathan W. Korn, Prof. Nathaniel J.S. Ashby, and Prof. Roozbeh Sadeghian titled their research "A Deep Neural Network Model to Predict Criminality Using Image Pro...