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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.

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