Rising financial fraud impacts industries, economies, and consumers, creating a need for advanced technological solutions. Compliance frameworks help detect and prevent illicit activities like money laundering, market manipulation, etc. However, with the rise of cryptocurrencies and blockchain, traditional detection methods are ineffective. As a result, Artificial Intelligence (AI) has emerged as a vital tool for combating fraud in the cryptocurrency sector. This systematic review examines the integration of AI in compliance for cryptocurrency fraud detection between 2014 and 2025, analyzing its evolution, methodologies, and emerging trends. Using RStudio (Biblioshiny) and VOSviewer, 353 peer-reviewed studies from leading databases including SciSpace, Elicit, Google Scholar, ScienceDirect, Scopus, and Web of Science were analyzed following the PRISMA methodology. Key trends include the adoption of machine learning, deep learning, natural language processing, and generative AI technologies to improve efficiency and innovation in fraud detection. However, challenges persist, including limited transparency in AI models, regulatory fragmentation, and limited access to quality data, all of which hinder effective fraud detection. The long-term real-world effectiveness of AI tools remains underexplored. This review highlights the trajectory of AI in compliance, identifies areas for further research, and emphasizes bridging theory and practice to strengthen fraud detection in cryptocurrency transactions.

The Principles for Responsible Investment in Agriculture and Food Systems (CFS-RAI) are suitable standards for contributing to the Sustainable Development Goals (SDGs) in the area of sound consumption and sustainable food. In this context, food banks have demonstrated their significant role in supporting vulnerable groups and reducing food waste through the implementation of various projects and activities. This study identifies and classifies the good practices of 54 food banks that comprise the Spanish Federation of Food Banks (FESBAL). The methodology applied was based on the Working with People model, integrating a social and collaborative learning process based on the accumulated experience of food banks over 35 years. The analysis was carried out based on four dimensions of sustainability, namely social, economic, environmental, and governance, in alignment with the CFS-RAI Principles. The results obtained show the good practices of food banks, highlighting their positive effects on the dimensions of sustainability, consistent with the CFS-RAI Principles, and the SDGs, evidencing improved food security and a holistic contribution to sustainable development.

Las buenas prácticas de gobernanza en las Entidades Sin Ánimo de Lucro (ESAL) se encuentran cada vez más presentes y deben alinearse con los Objetivos de Desarrollo Sostenible (ONU - Organización de Naciones Unidas, 2023) En la actualidad existe un mayor consenso respecto a su consideración como aprendizaje de servicio, caracterizadas por tener un impacto tangible y de mejora continua en la calidad de vida de las personas: social, cultural, económica, ambiental, orientadas a la sostenibilidad mediante los criterios ESG (Uría y Menéndez - Despacho de abogados, 2022). Se trata de acciones, metodologías y herramientas de mejora en las que existe reflexión, intencionalidad, homogenización, sistematicidad en su diseño, desarrollo, evaluación y flexibilidad para adaptarse a la Sociedad en función de los cambios que se van produciendo. Detectar buenas prácticas que doten de confianza y credibilidad a cualquier organización, identifica un valor y conocimiento transferible como aprendizaje de servicio en la educación. Mur Nuño, Carlos; De Los Ríos, Ignacio; Mejía, Judith; Nole, Priscila

Goals (SDGs) and the Environmental, Social and Governance (ESG) criteria currently exert a decisive influence on the management of projects in Third Sector entities, such as Food Banks. The aim of this communication is to align the principles and dimensions (SDG+ESG) in the case of the 54 FESBAL Food Banks, from an approach based on the IPMA OCB model. The methodology used is based on the "Working With People" (WWP) model, working with the managers of the 54 Food Banks, as living laboratories in the field of responsible consumption and food waste, from documentary analysis, workshops, surveys and interviews. The results show a general level of organisational competence of the Food Banks, which act with a holistic and multidimensional approach, linking the SDGs and ESG. In addition, an approach to the OCB model that can help to improve the governance and sustainability dimension of Food Banks is contrasted.