Over the last few months, the sociological experiment generated by lockdowns has triggered a plethora of educational debates and research publications. However, the care work enacted by teachers has rarely been at the core of these analyses. As other scholars have previously highlighted, caring in teaching requires not only ‘love’ but also ‘labour’. This means that it entails emotional, social, material and political costs, which are often unacknowledged or devalued. In this study, we delve into the experiences of a small group of caring teachers in Spain to explore the nature and effect of their care work during lockdown. Despite decades of feminist studies showing the value of care work, the stories of the teachers interviewed show the lack of recognition of caring in teaching. The article concludes with a call to problematise the idea of caring in teaching as a labour of love.

Background: Gender-based violence (GBV) remains largely under-reported and under-detected. The European project IMPROVE seeks to identify the needs of victims in terms of facilitating their access to support services and to assist frontline responder organisations in enhancing their competencies and capabilities to make the most of innovative solutions that enable and accelerate policy implementation. Methods: To meet these goals, IMPROVE uses narrative interviews, understood as unstructured tools that produce and analyse stories that are significant in people’s lives. These interviews provide the space for re-thinking; there is a reflection on implicit and taken-for-granted norms and insights are given into the life and thoughts of vulnerable groups, in this case, the women victim-survivors of GBV. Results: This methodological approach has led to high-quality interviews in which the women involved have felt comfortable, confident, and satisfied, as evidenced by the depth, complexity, and extension of the knowledge generated, and the commitment of the interviewees to the various activities proposed by the researchers. Conclusions: The narrative approach has allowed for a sensitive investigation into the private lives of GBV victim-survivors and, as a consequence, has contributed to the creation of new knowledge that can provide an in-depth and incisive view of the help offered by frontline responder organisations, from which improvements can be proposed.

El uso de inteligencia artificial (IA) en la lucha contra la violencia de género (VG) ha cobrado creciente relevancia, en particular mediante agentes conversacionales o chatbots diseñados para brindar apoyo a las víctimas. Sin embargo, la implementación de estas herramientas no está exenta de riesgos. Este artículo analiza las amenazas en el uso de agentes conversacionales inteligentes o chatbots en la atención de la VG y propone una taxonomía de estas amenazas basada en el enfoque de threat modeling. A partir del análisis de la literatura especializada y de experiencias existentes, se identifican vulnerabilidades tecnológicas, sesgos algorítmicos y limitaciones éticas que pueden comprometer la seguridad y efectividad de estas herramientas. Además, se discute cómo la IA Feminista puede contribuir a la creación de sistemas más inclusivos y sensibles a las necesidades de las víctimas. La propuesta de taxonomía presentada ofrece un marco de referencia para el diseño de chatbots con un enfoque ético, priorizando la privacidad, la autonomía y la seguridad de las usuarias.