Uber Lays Off 'Safety Drivers' for Autonomous Testing in Pittsburgh, Rejiggers Program

Uber laid off 100 “safety drivers” in Pittsburgh amidst a rejiggering of its aggressive autonomous vehicle testing program. From Quartz:

The company held a meeting earlier today (July 11) to inform about 100 autonomous vehicle operators—people who monitor its self-driving cars—that their jobs were being terminated, a source close to the situation told Quartz. Uber said it was eliminating the position of autonomous vehicle operator, and that operators were free to apply to other roles at the company, the source said.

Uber confirmed it laid off about 100 autonomous vehicle operators in Pittsburgh and eliminated the position. The company plans to replace these jobs with about 55 “mission specialists”—specialists who are trained in both on-road and more advanced test-track operations, and who are expected to provide more technical feedback to self-driving car developers. Uber said affected operators could apply for these positions.

Go Ahead, Ask Siri if She's Spying on You

Lots have been written, both seriously and in jest, about whether our AIs spy on us. But why not just ask Siri? Will she lie? This light-hearted experiment has been tried, in the provided link, and the nature of the responses is interesting. Some day, Siri will be a lot smarter, but will the answer be just as blunt? Or more helpful? Right now, ::cough:: it seems more like the game of Eliza.

Human Evolution Came From Multiple Ancestral Populations

Human evolution is the result of more than one ancestral population. In a new commentary paper, it suggests Homo sapiens emerged from a single ancestral population and a single geographic region in Africa. But other experts think differently.

While ‘Mitochondrial Eve’ was a real person, she wasn’t the only ancestor around, and would not have come from the only population around. She just happened to be the woman from which all people living today inherited their mitochondrial genetic code.

Algorithms Need a Conscience in the Public Sector

Algorithms need a conscience in the public sector, according to author Virginia Eubanks. She has a book called Automating Inequality, and she argues that the poor are a testing ground for new technology that increases inequality.

To some extent, we’re used to companies making arbitrary decisions about our lives — mortgages, credit card applications, car loans, etc. Yet, these decisions are based almost entirely on straightforward factors of determination — like credit score, employment and income. In the case of algorithmic determination in social services, there is bias in the form of outright surveillance in combination with forced PII share imposed upon recipients.

The DOD Needs AI to Help With Classification

The Department of Defense is looking for special AI to help with classification. The DOD issued a request for information (ROI) from the tech industry, looking for help.

Defense IT officials are seeking software that “must be able to make real-time decisions about the classification level of the information and an individual’s ability to access, change, delete, receive, or forward the information based on the credentials of the sending and/or receiving individual, facility, and system.”