Skip to main content

How will AI impact the charity sector?

 Artificial intelligence (AI) is a term that encompasses various technologies that enable machines to perform tasks that normally require human intelligence, such as understanding language, recognizing images, making decisions, and learning from data. AI has the potential to transform many sectors of society, including the charity sector, which aims to address social and environmental challenges and improve the lives of people in need.


In this blog post, we will explore some of the ways that AI can impact upon the charity sector in the next few years, both positively and negatively. We will also discuss some of the ethical and practical challenges that charities need to consider when adopting or engaging with AI.


AI can help charities to increase their efficiency and effectiveness


One of the main benefits of AI for charities is that it can help them to increase their efficiency and effectiveness in delivering their missions. For example, AI can help charities to:


  • Automate repetitive and administrative tasks, such as data entry, accounting, reporting, and fundraising. This can save time and resources, and allow staff and volunteers to focus on more creative and strategic work.
  • Analyse large and complex datasets, such as donor behaviour, beneficiary needs, social media trends, and impact evaluation. This can provide insights and recommendations that can help charities to optimise their strategies, improve their services, and measure their outcomes.
  • Enhance their communication and engagement with their stakeholders, such as donors, beneficiaries, partners, and supporters. AI can help charities to personalise their messages, tailor their content, segment their audiences, and respond to queries and feedback. This can increase trust, loyalty, satisfaction, and retention.
  • Innovate new solutions and approaches to address social and environmental problems. AI can help charities to identify gaps and opportunities, generate ideas, test hypotheses, and scale up interventions. This can enable charities to create more impact and value for their beneficiaries and society.


AI can also pose risks and challenges for charities


However, AI is not a silver bullet for the charity sector. AI also poses some risks and challenges that charities need to be aware of and address. For example, AI can:


  • Introduce bias and discrimination in decision-making and service delivery. AI systems are often trained on data that reflects existing human biases and inequalities, such as gender, race, ethnicity, class, or disability. This can result in unfair or harmful outcomes for certain groups or individuals.
  • Reduce transparency and accountability in how charities operate and use their resources. AI systems are often complex and opaque, making it difficult to understand how they work and why they produce certain results. This can undermine the trust and confidence of donors, beneficiaries, regulators, and the public.
  • Disrupt the labour market and the livelihoods of people in need. AI systems can replace or augment human workers in various sectors and occupations, creating new opportunities but also displacing or devaluing existing jobs. This can affect the income and well-being of people who depend on those jobs or who lack the skills or access to benefit from AI.
  • Exacerbate existing digital divides and inequalities in society. AI systems require access to data, technology, infrastructure, and expertise that are often unevenly distributed across regions, countries, communities, and organisations. This can create or widen gaps between those who have access to AI and those who do not.


AI requires ethical and responsible use by charities


Given the potential benefits and risks of AI for the charity sector, it is crucial that charities use AI in an ethical and responsible manner that aligns with their values and principles. This means that charities need to:


  • Adopt a human-centred approach to AI design and implementation that prioritises the needs, rights, interests, and dignity of their beneficiaries and stakeholders.
  • Ensure that their AI systems are fair, transparent, accountable, explainable, reliable, and secure.
  • Involve diverse perspectives and voices in their AI decision-making processes, including those of their beneficiaries, staff, volunteers, partners, donors, and experts.
  • - Monitor and evaluate the impacts and outcomes of their AI systems on their beneficiaries, stakeholders, and society, and address any issues or harms that arise.
  • - Collaborate and learn from other charities, sectors, and disciplines that are using or researching AI, and share their best practices, challenges, and lessons learned.


AI is a powerful tool that can help charities to achieve their missions more efficiently

and effectively,but it also comes with significant risks and challenges that need to be carefully considered and managed.


Charities that want to use or engage with AI should do so with ethics and responsibility

at the core of their actions.


Comments

Popular posts from this blog

The Whispers in the Machine: Why Prompt Injection Remains a Persistent Threat to LLMs

 Large Language Models (LLMs) are rapidly transforming how we interact with technology, offering incredible potential for tasks ranging from content creation to complex analysis. However, as these powerful tools become more integrated into our lives, so too do the novel security challenges they present. Among these, prompt injection attacks stand out as a particularly persistent and evolving threat. These attacks, as one recent paper (Safety at Scale: A Comprehensive Survey of Large Model Safety https://arxiv.org/abs/2502.05206) highlights, involve subtly manipulating LLMs to deviate from their intended purpose, and the methods are becoming increasingly sophisticated. At its core, a prompt injection attack involves embedding a malicious instruction within an otherwise normal request, tricking the LLM into producing unintended – and potentially harmful – outputs. Think of it as slipping a secret, contradictory instruction into a seemingly harmless conversation. What makes prompt inj...

The Future of Work in the Age of AGI: Opportunities, Challenges, and Resistance

 In recent years, the rapid advancement of artificial intelligence (AI) has sparked intense debate about the future of work. As we edge closer to the development of artificial general intelligence (AGI), these discussions have taken on a new urgency. This post explores various perspectives on employment in a post-AGI world, including the views of those who may resist such changes. It follows on from others I've written on the impacts of these technologies. The Potential for Widespread Job Displacement Avital Balwit, an employee at Anthropic, argues in her article " My Last Five Years of Work " that AGI is likely to cause significant job displacement across various sectors, including knowledge-based professions. This aligns with research by Korinek (2024), which suggests that the transition to AGI could trigger a race between automation and capital accumulation, potentially leading to a collapse in wages for many workers. Emerging Opportunities and Challenges Despite the ...

Podcast Soon Notice

I've been invited to make a podcast around the themes and ideas presented in this blog. More details will be announced soon. This is also your opportunity to be involved in the debate. If you have a response to any of the blog posts posted here, or consider an important issue in the debate around AGI is not being discussed, then please get in touch via the comments.  I look forward to hearing from you.