By Adriano Izzo, Civil Lawyer and President of the Gennaro Santilli Foundation ETS,
If artificial intelligence (AI) is destined to change and improve our future, it is essential to question its potential applications in philanthropy and the non-profit sector.
Setting aside ethical and regulatory aspects, which remain critical, let us consider whether and how AI can serve philanthropic efforts, enhancing their effectiveness and impact.
AI might bring intriguing advancements to philanthropy, such as enabling philanthropists to quickly gather detailed information on non-profit organizations, more easily identify donors, and facilitate job matching for vulnerable populations. It could also accelerate data collection for systemic philanthropy, aimed at solving problems sustainably rather than supporting isolated projects. Moreover, AI could simplify impact measurement for philanthropic initiatives, preventing unnecessary investments. Additionally, AI’s support in therapies might reduce complexity, making treatments more manageable and effective.
The topic of AI in philanthropy requires reflection on two levels: economic and systemic/organizational.
Economic Considerations
Currently, major investments in AI are focused primarily on industrial sectors like aerospace and automotive. Conversely, funding for the non-profit sector remains limited. The lack of resources for technological innovation in such a vital area could significantly undermine its ability to address people’s needs effectively, resulting in a loss of impact and competitiveness. This could harm the common good, which non-profits strive to safeguard through dedication and sacrifice.
Organizational Challenges
Even if the sector secures AI investments, there is a risk that these resources may not be efficiently managed due to cumbersome bureaucracy or insufficient staff training. This could lead to the underutilization of allocated funds, a scenario reminiscent of some European grants that remain untapped due to restrictive national legislation and impractical practices.
Conclusion
AI presents new challenges that, if approached with respect for rights and a human-centered perspective, could drive substantial innovation in addressing social goals. However, success requires planning, training, rethinking resource management methods, and enhancing research structures.
A recent milestone highlights this potential: the European AI and Society Fund received a $1 million grant from the Luminate Group to ensure AI development in Europe prioritizes the public good, human rights, and social justice. This collaborative effort by 14 foundations will enable civil society groups across Europe to influence AI policies and discussions. The funding aims to strengthen these organizations, enhance their capacities, and amplify the voices of vulnerable communities facing risks like algorithmic discrimination and economic exclusion.
A better future is possible. Rather than opposing technological evolution, we must create conditions to embrace and leverage its vast potential.
