Daniel Autenrieth
Publications

Publications.

Daniel Autenrieth publishes at the intersection of AI, AI Alignment, organizational practice, and education. His work examines how AI systems change knowledge, learning, decisions, and social participation, and how human and artificial intelligence can work together responsibly.

A particular focus is on how AI systems in sensitive fields can be understood, designed, and evaluated. This includes AI Alignment, Human-AI Complementarity, Computational Hermeneutics, transformative educational processes, digital inequality, and methods for investigating values, preferences, and meaning in complex systems.

Line 01AI Alignment & Preference Systems

Values, preferences, and orientation in AI systems.

Work on the question of which values, preferences, and normative orientations AI systems develop and how these can be studied empirically.

Line 02Human-AI Complementarity

AI as a cognitive partner rather than only a tool.

Work on human-AI complementarity, governance, higher education development, and responsible forms of shared intelligence.

Line 03Computational Hermeneutics

Scaling meaning, interpretation, and qualitative research.

Work connecting qualitative research, Large Language Models, meaning, embodiment, and scalable interpretation.

Line 04AI, Participation & Inequality

Access, participation, and social conditions of AI.

Work on AI Divide, inclusion, social participation, participation, and the social conditions of responsible AI use.

Full List

Publications by year.

Chronological overview of all works. The tag on the right shows the thematic line.

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015