Vrije Universiteit Amsterdam Papers

Browse 1 peer-reviewed paper from Vrije Universiteit Amsterdam spanning AI Alignment, AI Safety (2025). Research powered by Prolific's high-quality participant data.

This page lists 1 peer-reviewed paper from researchers at Vrije Universiteit Amsterdam in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback: AD Lindström et al.

Authors: A Dahlgren Lindström, L Methnani, L Krause

Year: 2025

Published in: Ethics and Information ..., 2025 - Springer

Institution: Umeå University, Vrije Universiteit Amsterdam

Research Area: AI Alignment, AI Safety, Reinforcement Learning from Human Feedback (RLHF), Sociotechnical Systems

Discipline: Artificial Intelligence, Ethics

The paper critiques AI alignment efforts using RLHF and RLAIF, highlighting theoretical and practical limitations in meeting the goals of helpfulness, harmlessness, and honesty, and advocates for a broader sociotechnical approach to AI safety and ethics.

Methods: Sociotechnical critique of RLHF techniques with an analysis of theoretical frameworks and practical implementations.

Key Findings: The alignment of AI systems with human values and the efficacy of RLHF techniques in achieving the HHH principle (helpfulness, harmlessness, honesty).

DOI: https://doi.org/10.1007/s10676-025-09837-2

Citations: 14