10 Ways AI Was Used for Good This Year

2023-01-07
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Artificial intelligence does not have to threaten humans; it can also work with us to solve big problems. Are you still feeling a little wary of algorithms? We rounded up a slew of stories from the past year that demonstrate the many ways in which this technology can have a positive impact.

Tackling Climate Change

This year AI revealed its prowess as a powerful tool to help prevent climate change from wreaking irreversible damage to the planet, something that requires more than one solution. Researchers have been using AI to visualize the future effects of floods and wildfires, improve climate decision-making, monitor forests and share data. Other climate projects powered by artificial intelligence have included building digital twins of the planet to test out the impact of different warming-mitigation policies and mapping thinning sea ice.

Improving Access to Nutrients and Water

Without access to a variety of foods, people around the globe are at risk of malnutrition and other health problems. A new model pinpoints the locations where populations are more likely to suffer from nutrient deficiency. In many U.S. cities, meanwhile, access to clean water is hampered by the presence of toxic lead pipes. A new algorithm helps local governments find and remove these underground menaces by predicting which homes are most likely to have them.

Detecting Deadly Weapons

Buried land mines kill thousands of people each year. But researchers are working on a system that uses drone footage and machine learning to pick out the unexploded munitions from a distance so they can be safely disarmed. Of course, drones themselves can also be used for nefarious purposes—but yet another AI algorithm, this one inspired by the eye of a fly, can detect these threats.

Outracing Video Gamers

An AI program defeated human video game champions at the ultrarealistic racing game Gran Turismo. This will help the game’s developers give competitors a worthy automated in-game adversary. And beyond that, self-driving car researchers could use the program’s success to inspire their own work in the real world.

Diagnosing Life-Threatening Health Problems

This year researchers completed a massive field test of an AI program for detecting sepsis, one of the leading causes of death in hospitals. The results suggest that the program reduced health complications and deaths from sepsis while earning positive feedback from the medical professionals who used it. And human diseases aren’t the only ones AI can combat—another algorithm has been used to diagnose bacterial infection in olive trees.

Cracking the Protein Code

Every function in the human body relies on proteins, which consist of long chains of amino acids folded into complex structures that carry out the work coded by our genes. But predicting what shape that chain will take is tricky and can require years to resolve—if you’re a human. This past summer Google’s company DeepMind announced its AI program AlphaFold had predicted the molecular structures of just about every known protein. That’s about 200 million estimated protein shapes. This massive achievement solves one of the knottiest problems in biology, and it won the AI’s creators a $3-million Breakthrough Prize.

Reviewing Wine and Beer

Want to preview the experience of sipping a dry white wine or a fruity sour beer? A language-generation AI can help you decide what to drink by combining existing reviews into condensed, summarized descriptions. And its creators say the program could be expanded to distill reviews of a whole lot of other products.

Predicting Viruses with Pandemic Potential

As cold weather sets in, COVID cases are on the rise again. To figure out what the coronavirus that causes the disease will do next, researchers are using an AI tool to analyze viral mutations, predicting when a new variant such as Omicron will emerge and become dominant. Such prediction tools can do more than help manage the current pandemic. Other algorithms are programmed to examine viruses currently spreading through the animal kingdom to identify which ones might jump to humans, potentially helping researchers avert the next pandemic.

Busting Illegal Drug Development

Novel designer drugs can produce effects similar to known recreational drugs, but they have small molecular differences. Because the designer versions are chemically distinct from the original drugs, they can sidestep some of the governmental regulations on these substances. They can also have unexpected debilitating impacts on health. So many molecules have intoxicating potential that banning these substances has required regulators to play a game of whack-a-mole—but now AI has stepped in. Researchers used an algorithm to produce a database of molecules that could be developed as potential designer drugs. It could allow governments to preemptively outlaw these dangerous substances.

Protecting Biodiversity

There is a tendency to think of technology and nature as forces in conflict. But it doesn’t have to be that way. Artificial intelligence algorithms can analyze data from at-risk ecosystems to measure the biodiversity of that environment—and to support conservation projects run by Indigenous groups. Another AI-powered technology, facial recognition, is helping researchers monitor mountain lions without disturbing their solitary routines.

参考译文
今年人工智能被用来做好事的10种方式
人工智能不一定要威胁人类;它也可以和我们一起解决大问题。你对算法还有点警惕吗?我们收集了过去一年里的一系列故事,这些故事证明了这项技术可以在许多方面产生积极影响。今年,人工智能展示了其作为一种强大工具的威力,可以帮助防止气候变化对地球造成不可逆转的破坏,这需要不止一种解决方案。研究人员一直在使用人工智能来可视化洪水和野火的未来影响,改善气候决策,监测森林和共享数据。其他由人工智能推动的气候项目包括建立地球的数字双胞胎,以测试不同的变暖减缓政策的影响,以及绘制海冰变薄的地图。如果无法获得各种食物,全球各地的人们都面临营养不良和其他健康问题的风险。一种新的模型精确定位了人口更可能遭受营养缺乏的地区。与此同时,在美国许多城市,由于有毒铅管的存在,清洁用水的获取受到了阻碍。一种新的算法通过预测哪些家庭最有可能存在地下威胁,帮助地方政府发现并消除这些地下威胁。埋在地下的地雷每年杀死数千人。但研究人员正在研究一种系统,该系统使用无人机录像和机器学习从远处挑出未爆炸的弹药,以便安全拆除。当然,无人机本身也可以用于邪恶的目的,但另一种人工智能算法,这是受苍蝇眼睛的启发,可以检测到这些威胁。在超现实赛车游戏《gt赛车》(Gran Turismo)中,一个人工智能程序击败了人类视频游戏冠军。这将帮助游戏开发者为竞争对手提供一个有价值的自动游戏对手。除此之外,自动驾驶汽车研究人员可以利用这个项目的成功来激励他们在现实世界中的工作。今年,研究人员完成了一项人工智能程序的大规模现场测试,用于检测败血症,败血症是医院死亡的主要原因之一。结果表明,该项目减少了因败血症引起的健康并发症和死亡,同时从使用它的医疗专业人员那里获得了积极的反馈。人类疾病并不是人工智能唯一可以对抗的疾病——另一种算法已被用于诊断橄榄树的细菌感染。人体的每一项功能都依赖于蛋白质,蛋白质由折叠成复杂结构的氨基酸长链组成,这些氨基酸执行着我们基因编码的工作。但如果你是人类,预测这条链将以何种形式出现是很棘手的,可能需要数年时间才能解决。去年夏天,谷歌的DeepMind公司宣布,其人工智能程序AlphaFold预测了几乎所有已知蛋白质的分子结构。估计大约有2亿种蛋白质形状。这一巨大的成就解决了生物学中最棘手的问题之一,并为人工智能的创造者赢得了300万美元的突破奖。想要预览品尝干白葡萄酒或果味酸啤酒的体验吗?语言生成的人工智能可以通过将现有的评论组合成浓缩的概括描述来帮助你决定喝什么。它的创建者表示,该程序可以扩展到提取大量其他产品的评论。随着寒冷天气的到来,新冠肺炎病例再次呈上升趋势。为了弄清楚导致这种疾病的冠状病毒下一步会做什么,研究人员正在使用人工智能工具来分析病毒突变,预测Omicron等新变体何时出现并占据主导地位。这种预测工具可以做的不仅仅是帮助管理当前的大流行。其他算法被编程用于检查目前在动物界传播的病毒,以确定哪些病毒可能会传染给人类,这可能有助于研究人员避免下一次大流行。 新型设计药物可以产生类似于已知娱乐性药物的效果,但它们在分子上有微小的差异。由于设计版本在化学上与原始药物不同,它们可以避开政府对这些物质的一些规定。它们还可能对健康产生意想不到的削弱作用。如此多的分子具有令人陶醉的潜力,以至于禁止这些物质需要监管机构玩一场打鼹鼠游戏——但现在人工智能介入了。研究人员使用一种算法建立了一个分子数据库,这些分子可以被开发成潜在的设计药物。它可以让政府先发制人地宣布这些危险物质为非法。有一种倾向,认为技术和自然是冲突的力量。但事实并非如此。人工智能算法可以分析来自危险生态系统的数据,以衡量环境的生物多样性,并支持土著群体经营的保护项目。另一项由人工智能驱动的技术,面部识别,正在帮助研究人员监测美洲狮,而不会干扰它们孤独的日常生活。
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