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    Home » Good Climate Solutions Need Good Policy—and AI Can Help With That
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    Good Climate Solutions Need Good Policy—and AI Can Help With That

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    Good Climate Solutions Need Good Policy—and AI Can Help With That
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    To obtain actual local weather options, altering habits and growing know-how isn’t sufficient, says Michal Nachmany, founder and CEO of the environmental nonprofit Climate Policy Radar. “A lot of this is policy,” she says.

    We want higher legal guidelines, insurance policies, and rules, in addition to needing to carry policymakers and corporates to account, as a result of they’re not doing a ok job, she argues. The downside is that understanding what insurance policies are on the market, and what works and what doesn’t, is a gigantic process. So Climate Policy Radar’s objective is to make use of AI to know the sprawling local weather coverage house, to assist ensure that future legal guidelines and insurance policies are evidence-based.

    “We gathered together all of the climate laws and policies and strategies and action plans that every single government in this world has on its books,” she explains. “There are 470,000 pages in there—or 4.5 million paragraphs.”

    To analyze these utilizing normal language AI methods isn’t sufficient, Nachmany says. “They source not-credible data sources, they hallucinate, they do all sorts of things that we really don’t want to bring into our decision making,” she says. “So we use augmented intelligence, using human expertise to teach machines.”

    As a not-for-profit, Climate Policy Radar gives its continually up to date knowledge without cost, and it has a neighborhood of practitioners accessible to collaborate with anybody who works with or seeks to affect decision-makers.

    “The people who need the data the most are the ones least able to pay for it,” she says. “So, there’s a really strong climate justice element to this.” She invitations anybody who needed to collaborate to contact her: “We’re just at the beginning of our journey.”

    This article seems within the March/April 2024 difficulty of WIRED UK journal.

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