The European Union is forging ahead with a sweeping plan to become “climate neutral” by midcentury....
If implemented, the European Green Deal could mark a major advance in the effort to combat climate change, since EU members make up the third largest block of greenhouse-gas emitters behind China and the US. But it will require massive investments and rapid transformations across nearly every economic sector.
The details: A released document doesn’t provide many specifics on how nations will achieve these ambitious targets, but it lays out timetables for developing strategies to reach specific goals.
At various points next year, for instance, the European Commission plans to propose a binding European climate law; develop a plan to cut emissions 50% by 2030; create strategies for transforming the agriculture and transportation industries; and devise various funding mechanisms.
European leaders stress that the deal will strive to be “just and socially fair,” by providing support for people, businesses, and regions harmed by the rapid transition.
What’s next? The European Commission unveiled the plan on Wednesday, sending it on to additional government bodies for endorsement. The process hit a snag at the European Council, where Poland declined to commit to the 2050 goal.
Challenges: Building the amount of solar farms, wind turbines, and other sustainable infrastructure required to cut emissions in half within a decade will be extremely expensive. Meanwhile, there aren’t readily available tools to eliminate emissions from steel, cement, aviation, and agriculture at this point.
There’s little scientific basis to emotion recognition technology, so it should be banned from use in decisions that affect people’s lives, says research institute AI Now in its annual report....
A booming market: Despite the lack of evidence that machines can work out how we’re feeling, emotion recognition is estimated to be at least a $20 billion market, and it’s growing rapidly. The technology is currently being used to assess job applicants and people suspected of crimes, and it’s being tested for further applications, such as in VR headsets to deduce gamers’ emotional states.
Further problems: There’s also evidence emotion recognition can amplify race and gender disparities. Regulators should step in to heavily restrict its use, and until then, AI companies should stop deploying it, AI Now said. Specifically, it cited a recent study by the Association for Psychological Science, which spent two years reviewing more than 1,000 papers on emotion detection and concluded it’s very hard to use facial expressions alone to accurately tell how someone is feeling.
Other concerns: In its report, AI Now called for governments and businesses to stop using facial recognition technology for sensitive applications until the risks have been studied properly, and attacked the AI industry for its “systemic racism, misogyny, and lack of diversity.” It also called for mandatory disclosure of the AI’s industry environmental impact.