Biased Algorithms Are Everywhere, and No One Seems to Care - MIT Technology Review 

Algorithmic bias is shaping up to be a major societal issue at a critical moment in the evolution of machine learning and AI. If the bias lurking inside the algorithms that make ever-more important decisions goes unrecognized and unchecked, it could have serious negative consequences, especially for poorer communities and minorities. The eventual outcry might also stymie the progress of an incredibly useful technology (see “Inspecting Algorithms for Bias”).

Introducing OmniGraffle 3 for iOS! - The Omni Group 

We’ve spent a ton of time in the past few years working on Omni Automation, powered by plain old JavaScript, to connect nearly every aspect of what makes OmniGraffle a design-and-diagramming powerhouse. But it’s not just exciting because it’s automation-on-iOS; any script that you use on the Mac will also work on iOS.


TaxProf Blog 

In 2010, Google hired Deven Desai, then a researcher in law and technology at Princeton University, to find academics to write research papers helpful to the company. Over the next two years, Mr. Desai said, he spent more than $2 million of Google’s money on conferences and research papers that paid authors $20,000 to $150,000.

We should all avoid of companies as something benevolent. They may be made of people, but being employees can also provide those people a buffer for their conscience.

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