全球视野 | ChatGPT引发全网关注，人工智能如何帮助非营利组织提高效率？

Artificial intelligence’s potential for driving sales and revenue is well-known, but it can benefit more than just for-profit businesses. AI also has many promising use cases in the nonprofit space. 

人工智能在推动销售和收入方面的潜力是众所周知的，但它能惠及的不仅仅是营利性企业。人工智能在非营利性领域也有许多有前景的使用案例。 

Nonprofits are aware of this potential, and 89% agree that AI will make them more efficient. However, only 28% have implemented or experimented with this technology. That largely stems from a lack of understanding of AI and what it can do, so here are five of the biggest ways it can boost nonprofit effectiveness. 

非营利组织也意识到了这种潜力，89%同意人工智能将使他们更有效率。然而，只有28%已经实施或试验了这项技术。这主要是因为非营利组织对人工智能及其功能缺乏了解。因此这里有五种可以最大化利用人工智能，来提高非营利组织效率的方法。

Fundraising and donor management are some of AI’s most significant use cases for nonprofits. Machine learning tools can analyze information in donor databases and enrich it with data from sources like social media to learn more about each contributor. You can then use these insights to tailor ongoing relationships with these people to boost engagement and prevent churn. 

筹款和捐赠人管理是人工智能在非营利组织中最重要的使用案例。机器学习工具可以分析捐赠人数据库中的信息，并利用社交媒体等来源的数据来充实它，以了解每个捐赠人的更多信息。然后，你可以使用这些洞察来调整与捐赠人之间不断发展的关系，以提高其参与度并防止流失。

AI can identify the donors most likely to give or show you how best to communicate with other users. Many nonprofits try to do this through segmentation, which helps, but AI can employ this strategy individually. 

人工智能可以识别最有可能捐赠的捐赠人，或者告诉你如何最好地与其他用户沟通。许多非营利组织试图通过细分人群来做到这一点，这很有帮助，但人工智能可以单独来做这件事。 

This individualization is remarkably effective. When British nonprofit Parkinson’s UK used AI to segment its donors, it received more than 400 gifts of over $15,000 that it would’ve missed with traditional methods. 

这种个性化是非常有效的。当英国非营利组织Parkinson’s UK/帕金森病协会使用人工智能对其捐赠人进行分类时，该组织收到了400多份价值超过15000美元的捐赠。如果使用传统方法，该组织可能会错过这些捐赠。

Nonprofits can also use AI to automate their messages to existing and potential donors. Writing and sending emails is more time-consuming than many people realize, taking 28% of the workday on average. Consequently, you can free up hours daily by automating this process with AI. 

非营利组织也可以使用人工智能来自动向现有和潜在的捐赠人发送信息。撰写和发送电子邮件，比许多人意识到的要更耗时，平均占工作时间的28%。因此，你可以通过使用人工智能使这一过程自动化，每天可以空出几个小时的工作时间。 

Generative AI models can use templates for outreach materials, then customize messages to each specific user. That way, you can address each person in what way most appeals to them, generating more engagement. 

生成式人工智能模型可以使用推广材料的模板，然后为每个特定用户定制消息。这样，你就可以用最吸引他们的方式与每个人打交道，并从而产生更多的参与度。 

Similarly, AI can also automate customer service roles. Chatbots can field and answer people’s questions about the organization 24/7, regardless of how many staffers you have available. These quick responses will help promote transparency and demonstrate that you care about what weighs on people’s minds. 

同样地，人工智能也可以使客户服务的角色自动化。聊天机器人可以全天候地回答人们关于组织的问题，无论你有多少员工可用。这些快速反应将有助于提高透明度，并表明你关心人们的想法。

Running a nonprofit organization involves many repetitive, data-heavy administrative tasks AI can automate. Leaving these to intelligent machines gives you more time to focus on nuanced, value-adding work while not overlooking critical steps in managing a nonprofit. 

运行一个非营利组织涉及许多重复性的、数据密集的行政任务，人工智能可以将其自动化。把这些工作交给智能机器，让你有更多的时间专注于细微的、增值的工作，同时不会忽视管理非营利组织的关键步骤。 

Nonprofits must ensure three central controls to prevent errors and fraud — separation of duties, authorization for transactions and thorough documentation. These steps are important yet time-consuming, but AI programs can streamline them. 

非营利组织必须确保三个中心控制，以防止错误和欺诈：职责分离，交易授权和详尽的档案记录。这些步骤很重要但也很耗时，但人工智能程序可以简化这些步骤。 

AI can analyze workflows and access privileges to ensure staffers’ duties and controls remain separate to prevent fraud. Similarly, they can automatically alert authority figures when someone requests a transaction so they can review it before authorizing it. Each time an employee or volunteer completes a task, AI can automatically record and file it for faster, more transparent documentation. 

人工智能可以分析工作流程和访问权限，确保工作人员的职责和控制保持独立，以防止欺诈。同样，当有人要求进行交易时，人工智能可以自动提醒权限人士，以便他们在授权前进行审查。每当员工或志愿者完成一项任务时，人工智能可以自动记录并归档，以获得更快、更透明地记录。

Sentiment analysis is another important use case for AI for nonprofits. Any organization should monitor its public perception to see how it must change to meet consumers’ expectations, but nonprofits face greater scrutiny than most. AI can help by scanning web articles and social media posts to see what people are saying about the organization and how that reflects their sentiments. 

情绪分析是人工智能对非营利组织的另一个重要用例。任何组织都应该监测公众对它的看法，以了解该组织必须如何改变才能满足消费者的期望，但非营利组织面临着比大多数组织更严格的审查。人工智能可以通过扫描网络文章和社交媒体帖子来帮助了解公众情绪。看看人们对该组织的评价，以及这如何反映了他们对该组织的情绪。 

Natural language processing (NLP) tools can analyze text to glean what emotions it represents, like anger, disappointment and support. These insights can help reveal if any of your nonprofit initiatives have come across the wrong way or, by contrast, exceed expectations. You can then make informed decisions about the most effective steps to take in the future. 

自然语言处理（NLP）工具可以分析文本，收集这些文本所代表的情绪，如愤怒、失望和支持。这些发现可以帮助揭示你的非营利组织的举措是否以错误的方式出现，或者相反，超过了预期。然后你就可以做出明智的决定，决定未来要采取的、最有效的步骤。 

Reviewing these interactions thoroughly would be nearly impossible with manual processes. People share 1.7 million pieces of content every minute on Facebook alone. AI lets you scan through all that for every mention of or interaction with your organization in mere minutes. 

使用人工手动流程几乎不可能彻底检查这些互动交流。仅在Facebook上，人们每分钟就分享了170万条内容。人工智能可以让你在短短几分钟内扫描所有内容，查看与你的组织相关的每一次提及或互动。

AI is also an important tool for defending against cybercrime. Large corporations may be the most obvious targets for hackers, but cybercriminals have attacked nonprofits like the Red Cross in the past, stealing significant amounts of sensitive information. Many nonprofits may not have the resources for a full-blown security team, but AI can automate things. 

人工智能也是抵御网络犯罪的一个重要工具。大型企业可能是黑客最明显的目标，但网络犯罪分子过去曾攻击过红十字会等非营利组织，窃取了大量的敏感信息。许多非营利组织可能没有足够的资源来组建成熟的安全团队，但人工智能可以实现自动化。 

Machine learning-powered network monitoring tools can learn what normal behavior in your database looks like so it can spot abnormalities. When something unusual happens, this software can contain the potential breach and alert IT staff to investigate further. This automation lets you respond fast enough to stop data breaches without manually checking network activity 24/7. 

机器学习驱动的网络监控工具，可以学习你的数据库中的正常行为，以便识别异常情况。当有异常情况发生时，这个软件可以遏制潜在的漏洞，并提醒IT人员进一步调查。这种自动化可以让你快速反应，阻止数据泄露，而不需要全天候手动检查网络活动。 

Similarly, automated security tools can scan your devices for outdated software, back up critical files and monitor the dark web for breached passwords. These insights let you stay secure regardless of the size of your IT department. 

同样，自动化安全工具可以扫描你的设备是否有过时的软件，备份关键文件，并监测暗网中被破解的密码。这些洞察让你保持安全，无论你的IT部门规模如何。

Running a nonprofit can be complicated, but AI makes much of it easier. Organizations that apply AI in any of these five ways can become more efficient, transparent, and secure. These advantages will help them reach their goals as effectively as possible, despite rising obstacles. 

运营一个非营利组织可能很复杂，但人工智能让这件事变得容易得多。对于应用人工智能的组织来说，无论他们采取的是这五种方式中的哪一种，他们都可以变得更加高效、透明和安全。尽管障碍不断增加，这些优势将帮助他们尽可能有效地实现其目标。