Publication
Problem Solving Through Human-AI Preference-Based Cooperation
Subhabrata Dutta; Timo Kaufmann; Goran Glavas; Ivan Habernal; Kristian Kersting; Frauke Kreuter; Mira Mezini; Iryna Gurevych; Eyke Hüllermeier; Hinrich Schütze
In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.07461, Pages 1-34, arXiv, 2024.
Abstract
While there is a widespread belief that artificial general intelligence (AGI) – or even superhuman
AI – is imminent, complex problems in expert domains are far from being solved. We argue that
such problems require human-AI cooperation and that the current state of the art in generative
AI is unable to play the role of a reliable partner due to a multitude of shortcomings, including
difficulty to keep track of a complex solution artifact (e.g., a software program), limited support
for versatile human preference expression and lack of adapting to human preference in an
interactive setting. To address these challenges, we propose HAI-Co2, a novel human-AI co-
construction framework. We take first steps towards a formalization of HAI-Co2 and discuss
the difficult open research problems that it faces.
