Evan Peck, Associate Professor at Bucknell University's teaching modules. His lesson plan connect ethics values to code for CS 1 students, and is centred around MIT's Moral Machine.
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Ethical Reflection Modules for CS 1
Media Manipulation & Disinformation Online
A report about media manipulation, including case studies and syllabus.
Minority Neighborhoods Pay Higher Car Insurance Premiums Than White Areas With the Same Risk
An analysis of premiums and payouts in California, Illinois, Texas and Missouri shows that some major insurers charge minority neighborhoods as much as 30 percent more than other areas with similar accident costs.
Why Is Silicon Valley So Awful to Women?
Tech companies are spending hundreds of millions of dollars to improve conditions for female employees. Here’s why not much has changed—and what might actually work.
Information Wars: A Window into the Alternative Media Ecosystem
About a University of Washington research study looking at how people spread rumors online during crisis events, from natural disasters like earthquakes and hurricanes as well as man-made events such as mass shootings and terrorist attacks.The study primarily focused on Twitter.
Reflecting On One Very, Very Strange Year At Uber
Susan Fowler's blog post about her experience at Uber, outlining the sexism she experienced while on the team.
The Perfect Weapon: How Russian Cyberpower Invaded the U.S.
A filing cabinet broken into in 1972 as part of the Watergate burglary sits beside a computer server that Russian hackers breached during the 2016 presidential campaign at the Democratic National Committee’s headquarters in Washington.
Our Automated Future
Hiring Algorithms Are Not Neutral
Algorithms are, in part, our opinions embedded in code. They reflect human biases and prejudices that lead to machine learning mistakes and misinterpretations. This bias shows up in numerous aspects of our lives, including algorithms used for electronic discovery, teacher evaluations, car insurance, credit score rankings, and university admissions.
How to Fix Silicon Valley’s Sexist Algorithms
Computers are inheriting gender bias implanted in language data sets—and not everyone thinks we should correct it.