AI News, Democrats want feds to target the 'black box' of AI bias artificial intelligence

Democrats want feds to target the 'black box' of AI bias

Congress is starting to show interest in prying open the "black box"

But it reflects growing — and bipartisan — scrutiny of the largely unregulated data economy — everything from social media feeds, online data brokerages, financial algorithms and self-driving software that are increasingly impacting daily life.

A bipartisan Senate bill introduced last month would require companies to notify people before using facial recognition software on them, while also requiring third-party testing to check for bias problems.

Academic studies and real-life examples have unearthed facial recognition systems that misidentify darker-skinned women , computerized lending tools that charge higher interest rates to Latino and black borrowers, and job recruitment tools that favor men in industries where they already dominate.

Booker said biased algorithms are causing the same kind of discriminatory real estate practices that sought to steer his New Jersey parents and other black couples away from certain U.S. neighborhoods in the late 1960s.

to set and enforce new rules for companies to check for accuracy, bias and potential privacy or security concerns in their automated systems, and correct them if problems are found.

But a think tank backed by major tech companies including Google and Amazon called the bill a misfire, arguing it unfairly singles out algorithms and could discourage the pursuit of AI.

"To hold algorithms to a higher standard than human decisions implies that automated decisions are inherently less trustworthy or more dangerous than human ones, which is not the case."

Castro also said it unfairly targets big companies and would hurt the product development process if a company needs to conduct a new assessment for every minor software update.

Applied Information to Enable Deployment of C-V2X Traffic Infrastructure in U.S. Featuring Qualcomm 9150 C-V2X Platform

ATLANTA--(BUSINESS WIRE)--Apr 11, 2019--, the leading provider of intelligent transportation infrastructure technology, today announced plans to deploy C-V2X traffic infrastructure products in the U.S. with its Glance™

9150 C-V2X Platform from Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, the products are designed specifically to support traffic signals, school zone safety beacons, and a variety of other roadside infrastructure deployments in the U.S. As a global solution for vehicle-to-everything (V2X) communications, C-V2X is designed to improve automotive safety, traffic efficiency, and automated driving with its low latency communications, allowing vehicles to communicate directly with other vehicles, pedestrians, and roadside infrastructure without the involvement of a cellular network or network subscription.

The addition of the 9150 C-V2X chipsets as part of Applied Information’s products gives Road Operators a single solution to support signal preemption for first responders, signal priority to transit buses and safety messages to drivers and autonomous vehicles.

The technology also provides Road Operators with a platform upon which to create additional applications for alerts and warnings for school zone safety, work zone safety, special event traffic management and public safety.

For example, the Applied Information TravelSafely smartphone app connects drivers to the infrastructure, providing the first application of connected vehicle technology using data from multiple infrastructure sources for day-to-day use by the general public.

Applied Information is the industry-leading developer of Smart Cities, connected, and intelligent transportation system (ITS) solutions designed to save lives, improve traffic, drive commerce, and help the environment.

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