Fortune | FORTUNE 2024年10月10日
Here’s how Dell and IBM are using AI in their social and environmental efforts 
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随着人工智能技术的快速发展,企业纷纷竞相成为该领域的领导者,但同时也面临着如何将创新与可持续发展相结合的挑战。本文探讨了企业在人工智能应用中如何确保其公司在技术发展的同时,也保持安全和道德。来自戴尔科技、Blackbaud和IBM的企业社会责任领导者在Fortune的Impact Initiative上分享了他们的见解,他们认为企业需要关注人工智能的伦理应用,并确保边缘群体能够获得人工智能技术和培训的机会,以应对人工智能带来的社会挑战。

👨‍💻 **人工智能在企业社会责任中的应用:**戴尔科技利用人工智能为城市创建数字助理,为不同语言的公民提供信息服务,尤其是在紧急情况下。IBM则与政府和非营利组织合作,开发气候预测模型,帮助获取气候数据,缓解气候变化带来的影响。

🌎 **确保边缘群体获得人工智能技术和培训:**IBM与高校合作,培训教授人工智能技术,旨在让非STEM专业的学生也能掌握人工智能知识。IBM希望其他公司也能实施类似的项目,确保边缘群体能够平等地获得人工智能技术和培训。

🧠 **人工智能技能将成为未来职业的基本要求:**Blackbaud的领导者认为,未来许多职业将需要基本的生成式人工智能技能,企业应该考虑如何帮助全球范围内的员工进行技能再培训,以适应人工智能带来的变化。

🤝 **人工智能伦理委员会的重要性:**IBM设立了人工智能伦理委员会,定期讨论人工智能应用的伦理问题,确保公司在人工智能发展过程中保持道德和负责任。企业社会责任和ESG团队的成员应该参与到这些委员会中,确保人工智能的应用符合社会利益。

⚖️ **企业社会责任团队在人工智能伦理中的作用:**企业社会责任团队应该参与到公司的人工智能决策中,为人工智能的伦理和负责任应用提供建议,确保人工智能的发展符合社会价值观。

Companies across the world are vying to be leaders in the artificial intelligence space, whether that means training their employees to use generative AI tools or implementing new workflows. But a problem is coming up for leaders in the corporate sustainability space: How do they ensure their companies remain on the cutting edge, but also safe and ethical?That was the question business leaders in corporate social responsibility space discussed during a roundtable discussion at Fortune‘s Impact Initiative in Atlanta, Georgia. Led by Jamila Cowan, director of strategic relationships, sustainability and ESG at Dell Technologies, Nathan Froelich, general manager and head of YourCause at Blackbaud, Justina Nixon-Saintil, VP and chief impact officer at IBM. The leaders discussed the many use cases for AI, and how their companies are implementing it.Cowan said Dell is already using AI in a number of ways with different clients, including by partnering with cities to create a digital assistant to get information to citizens, particularly in communities where members speak many different languages and need to access information in an emergency.Beyond digital assistants, IBM’s Nixon-Saintil said they are able to partner with governments and nonprofits to build climate-forecasting models, for example, that can help with access to climate data and potentially mitigate the impact of climate change.The leaders also focused on access: How to enable connectivity across the world, and how to prepare people to be able to use the tools that are coming their way. IBM works with colleges to train professors on the technology, with the intent that college students outside of the STEM majors will also become AI fluent, says Nixon-Saintil. She hopes other companies will start implementing similar programs.“There’s no competition here. There’s enough need that we all have to figure out how do we help support these different populations,” says Nixon-Saintil. “How do we ensure we give them free access?”The mainstreaming of AI given rise to fears that marginalized groups around the world will be left behind and cut out of access and training with the technology. Basic generative AI skills will soon be table stakes in many professions, Froelich said. He added that companies should consider how they can help reskill workers across the globe.“In six months, one year, when you sit down for an interview and the interviewer says, ‘do you know how to use gen AI, can you be a prompt engineer,’ and you answer no, you’re probably not going to get that job,” he said, adding that using gen AI is a “human skill.” “That awareness and that skill-building is for everybody. And we’re still behind the eight-ball on where we should be.”With ethical concerns in mind, Nixon-Saintil said IBM has an AI ethics board that sometimes meets multiple times a month to keep the company on track. She and the other speakers said it is imperative for members of companies’ corporate social responsibility teams and ESG teams to be on those committees.“If your company has an AI counsel that is looking at the use of AI, you should be on that counsel, you should be the voice for the community, for how it’s done ethically and responsibly,” said Froelich.

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人工智能 可持续发展 企业社会责任 伦理 边缘群体
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