Artificial Intelligence in the Nonprofit Sector: Benefits, Concerns, and Ethical Adoption (2024)

Artificial Intelligence in the Nonprofit Sector: Benefits, Concerns, and Ethical Adoption (2)

With few exceptions, the nonprofit sector is composed of people who want to make the world a better place. This desire outweighs our dreams of big paychecks, short hours, and a job that doesn’t leave so many of us at risk of burnout.

The nonprofit sector is also growing. Over the last 15 years, it’s grown by 33 percent. It’s now surpassed local governments to become the second-largest source of employment in the United States.

With the sector growing, it seems like a good time to embrace new technology. Yet the breakneck advance of artificial intelligence, or AI, has tolled alarm bells for some.

In the last decade or so, tech companies have self-identified as “disruptors” so often, it’s become a bit of a joke (see HBO’s Silicon Valley for more detail). For most of us, besides increasing our levels of depression and anxiety, the profusion of new products hasn’t changed much.

Artificial intelligence, however, can be truly disruptive.

At best, it can help the nonprofit sector serve the needs of more people. At worst, well, we just need to look at the many creative contributions of Hollywood to understand what the worst might look like.

With artificial intelligence, it’s awfully difficult to occupy the middle ground. You’re either an optimist or a doomer.

For the pessimists, concerns abound. With Americans continuing to save less than the historical average, people feel vulnerable. Changes to the job market and the economy at large could mean more individuals finding themselves on the financial brink.

Put another way, if you say “automation” three times in the mirror, you just might summon ChatGPT on your laptop.

But don’t technological advancements help workers? Well, the truth is more complicated. Despite major technological advances, the American work week has lengthened. As of 2014, it’s increased by seven hours, totaling forty-seven hours a week. Productivity has also increased, but has risen three and a half times more than pay.

So while technology might promise to transform work, ushering in an economy with an egalitarian facelift, it hasn’t. It’s only shifted the goalpost, with companies using new tech to justify higher workloads. It’s also collapsed the divide between work and home. Now many employers expect their employees to be accessible around the clock.

For all its good intentions, the nonprofit sector can rely too heavily on the passion and self-sacrifice of its employees.

It may be worth a reminder that nonprofit workers are workers, too. They aren’t immune to the changes AI might bring to the makeup of labor in the United States. There are ways that nonprofit workers might be particularly vulnerable. According to a 2020 survey, 50 percent of nonprofit workers reported having more than $50,000 in student loan debt. As of 2023, nonprofit human services in Washington State are paid 37 percent less than their for-profit counterparts for the same work.

Nonprofit employees have major skin in this debate.

For nonprofit organizations themselves, the risks of AI are also worth considering. AI might make fake content more accessible. It has a penchant for stealing the intellectual property of human workers. It can amplify hate speech. It might repackage the internal biases of coders, leading to discrimination with the veneer of objective data.

Organizations should plan for these eventualities. Their responses will reflect their organizational ethos.

Yet, artificial intelligence could benefit nonprofits in many ways. AI can increase donor engagement, streamlining existing fundraising efforts. It can also use aggregate data to determine where nonprofits might direct their resources most efficiently.

It isn’t all doom and gloom for workers, either. The Trevor Project, a nonprofit that services LGBTQIA+ teens in crisis, is one organization that has embraced technology. It uses cobotting, or the combination of tech and employee know-how for the benefit of both. By using AI chatbots for training, new counselors have ample time to practice without the pressure of assisting a real human in crisis. This reduces employee stress and increases the quality of care received by vulnerable teens. Benefits Data Trust, a Philadelphia-based nonprofit, uses AI to help staff connect their clients with useful public benefits. Previously, workers needed to memorize huge amounts of information or risk misdirecting a caller. AI has relieved their mental load.

It’s tempting to evaluate artificial intelligence in extremes: entirely good or totally bad. The truth of its impact on the nonprofit sector will likely be more nuanced.

Nonprofit workers should be involved in how their organizations adopt and integrate AI. It’s their job, after all! Nonprofit leadership should also be responsive to the concerns of their employees. A proactive and transparent plan for dealing with potential issues will likely go a long way to quell preliminary anxieties.

The good news is this: there are few industries with more to gain from AI than the nonprofit sector, and there are no sectors better positioned to use AI ethically.

Nonprofits have an enormous opportunity on their hands. They can and should be leaders, setting a positive example for other industries that might be less equipped, and less inclined, to use AI technology responsibly.

Artificial Intelligence in the Nonprofit Sector: Benefits, Concerns, and Ethical Adoption (2024)

FAQs

Artificial Intelligence in the Nonprofit Sector: Benefits, Concerns, and Ethical Adoption? ›

People see positive benefits from being knowledgeable in AI, but are concerned about the ethical implications of adoption; they believe AI technology is consistent with their beliefs and values but have mixed feelings about about their diverse constituents being adversely affected.

What are the major AI ethical concerns related to AI adoption? ›

- The wide adoption of AI could drive unemployment as people are replaced by more efficient software or robots. - AI may have biases, which can lead to discrimination and inequality. Bias is a big issue with a major impact on society and thus it must be handled by the designers and developers of AI systems.

How can AI help nonprofit organizations? ›

How do nonprofits use AI? Nonprofits can use artificial intelligence to streamline and improve the segmentation process, which can drastically boost their fundraising results and efficiency. Simply put, artificial intelligence, driven by machine learning, takes the guesswork out of segmentation.

What are the ethical implications of artificial intelligence? ›

The primary ethical concerns encompass issues related to bias and fairness in AI algorithms, data privacy and security, AI-driven decision accountability, and the potential societal impacts of AI technologies.

Do you agree that the rise of artificial intelligence raises ethical concerns? ›

However, the development of AI raises important ethical questions about its impact on society. These issues include the potential impact of AI on jobs, bias and discrimination, privacy, and the potential for malicious use of AI.

What are 3 main concerns about the ethics of AI? ›

But there are many ethical challenges: Lack of transparency of AI tools: AI decisions are not always intelligible to humans. AI is not neutral: AI-based decisions are susceptible to inaccuracies, discriminatory outcomes, embedded or inserted bias. Surveillance practices for data gathering and privacy of court users.

What is one of the three main challenges for AI adoption? ›

The main technical challenge lies in data quality and availability, crucial for AI's performance. Investments in robust, scalable infrastructure and platforms are necessary to support effective AI integration. Cultural and behavioral resistance is a key challenge to the adoption of AI in firms today.

What is the power of artificial intelligence for nonprofits? ›

AI can improve internal procedures in addition to fundraising, freeing up nonprofits to concentrate more on their primary goals. Routine chores like data entry and administrative work can be automated to free up time and resources for more productive uses, including developing new programs and engaging the community.

What is the best AI for nonprofits? ›

Best AI Tools for Nonprofits

Both Momentum and DonorSearch AI are designed for nonprofits, giving fundraisers and nonprofit professionals the resources they need to drive impact for their organization.

How can artificial intelligence help an organization increase profits and reduce costs? ›

By analyzing historical data and real-time information, AI algorithms can make accurate predictions, preventing overstock or stockouts, thereby minimizing waste and maximizing efficiency. Additionally, AI-driven automation in logistics can streamline operations, cutting down on manual errors and reducing labor costs.

What are the 5 ethics of AI? ›

5 key principles of AI ethics
  • Transparency. From hiring processes to driverless cars, AI is integral to human safety and wellbeing. ...
  • Impartiality. Another key principle for AI ethics is impartiality. ...
  • Accountability. Accountability is another important aspect of AI ethics. ...
  • Reliability. ...
  • Security and privacy.
Oct 24, 2023

Is there an ethical dilemma behind AI? ›

AI algorithms often inherit biases from the data they are trained on, leading to ethical dilemmas related to fairness and discrimination. In cybersecurity, a biased AI could result in profiling or unfairly targeting certain groups.

What are the pros and cons of artificial intelligence? ›

The advantages range from streamlining, saving time, eliminating biases, and automating repetitive tasks, just to name a few. The disadvantages are things like costly implementation, potential human job loss, and lack of emotion and creativity.

How can we make AI more ethical? ›

These are 10 essential aspects to carry out ethical uses and developments of AI systems:
  1. Develop a code of ethics. ...
  2. Ensure diversity and inclusion. ...
  3. Monitor the AI system. ...
  4. Educate employees. ...
  5. Transparency. ...
  6. Address privacy concerns. ...
  7. Consider human rights. ...
  8. Anticipate risks.
Mar 17, 2023

How do we make AI not biased more ethical? ›

Use Representative Data

Basically, the quality of data you are using to train and test AI algorithms influences the outcomes. To ensure that you are building an ethical and bias-free artificial intelligence, train it using a full-spectrum of data. Data vetting is another fundamental component.

What ethical considerations are important for the future of artificial intelligence? ›

The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the philosophical challenge is the role of human judgment.

What are the factors affecting the adoption of AI? ›

FactorsMean (μ)
Behavioral intention (BI)2.97
Trust2.91
Perceived privacy risk (PPR)2.44
Personalized innovativeness (PI)3.14
4 more rows
Nov 30, 2023

Which of the following are issues of AI ethics? ›

What are some ethical issues with AI? Facial recognition technology is a big issue, in addition to lack of transparency and potential bias and discrimination.

What are the four main concerns, inhibitors, and fears companies have on adopting generative AI? ›

However, Generative AI implementation presents many unique challenges to organizations and their applications. Businesses face hurdles regarding data quality issues, employee training requirements, ethical considerations, and security precautions when employing this technology.

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