Dear List, find here a call for papers at the: Cambridge Forum on AI: Culture and Society The journal invites submissions for its upcoming Themed Issue: Empirical AI Ethics. https://www.cambridge.org/core/journals/cambridge-forum-on-ai-culture-and-society/announcements/call-for-papers/empirical-ai-ethics#<https://www.cambridge.org/core/journals/cambridge-forum-on-ai-culture-and-society/announcements/call-for-papers/empirical-ai-ethics> The issue will be Guest Edited by Selin Gerlek and Paula Helm (University of Amsterdam). The deadline for abstract submissions is 1 March 2025. Invited full papers will be accepted on a rolling basis. Cambridge Forum on AI is a newly founded flagship journal at Cambridge University Press. Fully Open Access. No APCs. Looking forward to your submissions, Paula & Selin. And here is the call description: "In recent years, AI has become a central force in shaping various aspects of human life, ranging from decision-making over cultural production to societal infrastructures, sparking wide-ranging ethical debates. However, classical approaches to AI ethics often rely on abstract principles and Western-centric perspectives that may overlook the lived experience of those directly and even indirectly affected by AI systems. This themed issue seeks to address these issues by focusing on empirical approaches to AI ethics, which ground ethical reflection on concrete practices, values, and experiences. Empirical AI Ethics continues the so-called empirical turn in epistemology, the humanities and beyond by connecting insights gained through qualitative and quantitative research with value considerations. The analytical focus thereby shifts from a focus on top-down ethical principles to understanding what different actors and stakeholders consider desirable and undesirable practices, whether at the individual, societal or institutional level. Empirical AI Ethics, as advanced in this themed issue, enacts a turn towards a horizontal perspective (bottom-up or from within), captured in terms like ethics in practice, fieldwork ethics, empirical philosophy, or everyday ethics. While there are several approaches to empirical ethics, this issue will present reflections inspired by lines of tradition within philosophy and anthropology that build on a situated understanding of knowledge, including science and technology studies (STS), feminist care and biomedical ethics, postphenomenology, material semiotics, and praxeology. Unlike classical AI ethics, such empirical approaches to AI ethics do not determine a priori what is good and right. Instead, enquiry focuses on the perspectives and opinions of affected communities regarding normative issues emerging vis-à-vis the implementation of AI systems within various areas of life. In addition, through participant observation and different forms of public intervention or case study, hegemonic tools, procedures, norms, infrastructures, and institutions can be challenged by comparing them to alternative perspectives offering different conceptions of what is good and right. We invite contributions that feature relevant case studies as well as conceptual and methodological considerations, focusing on but not restricted to the following approaches and topics: · Horizontal Approaches to AI Ethics · Everyday Ethics and Ethics from Within · Feminist Data Science and Empirical Ethics · Care Ethics and Fieldwork · Ethics of AI, Logistics, and Infrastructures · Empirical Philosophy and AI · Decolonial Approaches to AI Ethics · Indigenous AI and Ethics · AI and Public Affairs · Ethnographic Inquiries into Values and AI · Artistic Inquiries into AI Ethics · Ethics and Global Digital Infrastructures · Ethics of Interface Design · Experimental AI Ethics · Speculative Fiction and AI Ethics · Digital Citizenship Studies Contributions may resonate with either one or a combination of these directions. In doing so, this issue will unite conceptual reflection on, exemplary cases of, and experiments in Empirical AI Ethics. Together, the selected papers will illuminate a range of methodological and epistemological directions, and ontological speculations, updating existing debates on both fundamental and everyday decision-making regarding the development, implementation, and usage of AI systems." _____________________ Dr. Paula M. Helm , Asst. Prof. in Data Science & Empirical Ethics, Coordinator MA Cultural Data & AI, Media Studies Department Amsterdam Institute for Advanced Studies, Research Lead: Empirical Ethics Group University of Amsterdam Personal Profile<https://www.uva.nl/en/profile/h/e/p.m.helm/p.m.helm.html> - Publication<https://www.uva.nl/en/profile/h/e/p.m.helm/p.m.helm.html#Publications> - Zoom<https://uva-live.zoom.us/j/6747115965> CALL FOR PAPERS OUT! EMPIRICAL AI ETHICS @Cambridge Forum for AI<https://www.cambridge.org/core/journals/cambridge-forum-on-ai-culture-and-society/announcements/call-for-papers/empirical-ai-ethics>