AI Alignment: Perspectives in Law and Ethics - CfP: Workshop and Edited Volume

Beschreibung

Overview

Artificial Intelligence (AI) is increasingly deployed in domains with profound ethical and legal implications—including healthcare, finance, education, and public administration. Yet it remains misleading to describe AI systems themselves as moral or legal entities. Rather, AI must be aligned with legal and ethical norms. AI alignment is a complex, iterative process of configuring machine systems to adhere to human-defined norms, values, and legal frameworks (Dignum 2019; Russell 2019; Christian 2020). This call for papers for an edited volume investigates the relational and procedural nature of alignment, understanding it not as a property of machines alone but as a dynamic form of human–machine interaction embedded in social, institutional, and regulatory contexts.

Aim and Scope

The workshop and book publications aims to bring together scholars from philosophy, law, computer science, and the social sciences to examine the normative, epistemic, and ontological structures underlying AI alignment practices. It seeks to clarify the conceptual foundations of “ethical” and “legal” AI, to analyze the principles that guide alignment, and to critically evaluate the status of contemporary AI systems—especially Large Language Models (LLMs) trained on ethical and legal principles.

Submission Guidelines: See website

Interested authors are invited to submit a title, an abstract of approximately 500 words, and a short academic biography by April 15, 2026.

Selected participants will be invited to a workshop at the University of Tübingen College of Fellows at the beginning of October.