تقرير
Problem Solving Through Human-AI Preference-Based Cooperation
| العنوان: | Problem Solving Through Human-AI Preference-Based Cooperation |
|---|---|
| المؤلفون: | Dutta, Subhabrata, Kaufmann, Timo, Glavaš, Goran, Habernal, Ivan, Kersting, Kristian, Kreuter, Frauke, Mezini, Mira, Gurevych, Iryna, Hüllermeier, Eyke, Schuetze, Hinrich |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction |
| الوصف: | 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 inability 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 formalize HAI-Co2 and discuss the difficult open research problems that it faces. Finally, we present a case study of HAI-Co2 and demonstrate its efficacy compared to monolithic generative AI models. Comment: 16 pages (excluding references) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2408.07461 |
| رقم الأكسشن: | edsarx.2408.07461 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |