Pornhub To Block Five More States Over Age Verification Laws

FedEx’s Secretive Police Force Is Helping Cops Build An AI Car Surveillance Network

Twenty years ago, FedEx established its own police force. Now it’s working with local police to build out an AI car surveillance network. From a report: Forbes has learned the shipping and business services company is using AI tools made by Flock Safety, a $4 billion car surveillance startup, to monitor its distribution and cargo facilities across the United States. As part of the deal, FedEx is providing its Flock video surveillance feeds to law enforcement, an arrangement that Flock has with at least five multi-billion dollar private companies. But publicly available documents reveal that some local police departments are also sharing their Flock feeds with FedEx — a rare instance of a private company availing itself of a police surveillance apparatus.

To civil rights activists, such close collaboration has the potential to dramatically expand Flock’s car surveillance network, which already spans 4,000 cities across over 40 states and some 40,000 cameras that track vehicles by license plate, make, model, color and other identifying characteristics, like dents or bumper stickers. Lisa Femia, staff attorney at the Electronic Frontier Foundation, said because private entities aren’t subject to the same transparency laws as police, this sort of arrangement could “[leave] the public in the dark, while at the same time expanding a sort of mass surveillance network.”

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Plan for New Accounting Rules on Software Costs Moves Forward

U.S. companies may need to report cash amounts tied to their software expenditures, more of which would be moved off corporate balance sheets under a forthcoming proposal to update decades-old accounting rules. From a report: The Financial Accounting Standards Board voted Tuesday, 7-0, to propose requiring companies to report cash amounts tied to their software costs and help them determine when to expense or capitalize costs. The proposal is a scaled-back version of rule-making around these expenses. The standard setter wants to require U.S. public and private companies to provide a line item in their cash-flow statement to account for cash spending on software. Rules around software costs have gone largely unchanged since the 1980s and 1990s.

The proposal would cover use of software ranging from enterprise resource planning systems to hosting services and mobile banking applications, meaning it applies to almost every company. It would exclude development of software licensed to customers. Under the plan, companies would no longer have to evaluate the stage of their software project to determine whether to expense the costs on the income statement or to capitalize, or delay fully recognizing them, on the balance sheet. Companies are now required to expense their software costs as incurred on the income statement during the initial planning and post-implementation stages. When building the programs or applications, companies have to capitalize eligible costs. These current requirements involve significant judgment for companies, creating higher compliance costs. Instead, companies would only have to determine when to begin capitalizing software costs based on executives’ signoff for a project and the likelihood that the project will be completed and the software will carry out its intended use.

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Ukraine Turning To AI To Prioritize 700 Years of Landmine Removal

MattSparkes shares a report from NewScientist: The Russian invasion of Ukraine has seen so many landmines deployed across the country that clearing them would take 700 years, say researchers. To make the task more manageable, Ukrainian scientists are turning to artificial intelligence to identify which regions are a priority for de-mining, though they expect some may simply have to be left as a permanent “scar” on the country. The model considers vast amounts of data, including tax and property ownership records, agricultural maps, data on soil fertility, logs from the military and emergency services of where bombs and shells have landed, information gleaned from satellite images and interviews with local civilians and the military. Even climate change models and data on population density derived from mobile phone operators could be assessed. The AI then weighs factors such as civilian safety and potential economic benefits to determine the importance of a given piece of land and how urgent it is to make it safe. Ihor Bezkaravainyi, a deputy minister at Ukraine’s Ministry of Economy, is leading the team, and he likens the task of de-mining during an ongoing war to designing and building a submarine entirely underwater, except that the water is on fire. “It’s a big problem,” he says.

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