Ethical Implications of AI Applications in Nonprofit and Charity Sectors

Abstract

The article analyzes the modern ethical aspects of the use of artificial intelligence (AI) in the activities of non-profit and charitable organizations. The relevance of the study is due to the need to ensure transparency, social responsibility and equal access to digital services in the context of the growing use of AI to automate processes and decision-making in humanitarian initiatives. It was established that the key ethical challenges are the opacity of algorithms, the risks of algorithmic bias, non-compliance with data confidentiality and digital inequality among beneficiaries. The aim of the work is to develop recommendations for the introduction of ethical standards for the use of AI in the non-profit sector, taking into account international practices and ensuring social responsibility. The study used methods of content analysis, systematic comparison and a review of international experience to identify key factors for ensuring the ethics and inclusiveness of digital solutions. The results of the analysis indicate the need to implement the principle of "explained AI", which ensures the transparency of algorithms and their accountability. It has been proven that the use of multilingual interfaces adapted for socially vulnerable groups, as well as the integration of multi-layered data protection policies, increase the level of trust in digital solutions. It is concluded that the effective implementation of AI in humanitarian programs is possible under conditions of constant monitoring and independent audit of algorithms to reduce the risks of "black boxes". Prospects for further research include the development of methods for adapting algorithms to local socio-cultural needs, the study of innovations in the field of personal data protection and the creation of training programs to increase the digital literacy of beneficiaries.