A Crossroads for Hybrid Human-Machine Decision-Making

被引:0
作者
Ben Wilson [1 ]
Lakshmanan, Kayal [1 ]
Dix, Alan [1 ]
Rahat, Alma [1 ]
Roach, Matt [1 ]
机构
[1] Swansea Univ, Swansea SA1 8EN, W Glam, Wales
来源
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II | 2025年 / 2134卷
基金
英国工程与自然科学研究理事会;
关键词
human-machine; AI; interaction; hybrid; mixedinitiative; combination; collaboration; cooperation; symbiosis; decision making;
D O I
10.1007/978-3-031-74627-7_24
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we highlight what is missing in the approach to architecting and developing AI models that would mean performance is translated into effective hybrid systems. We conclude people, place and purpose should drive new architectures that support rich interaction through tractable representations that will underpin success. We call for the data-driven ML community to embrace the consideration of tractable representations in the architecture of algorithms and place a responsibility on HCI researchers to unwrap and expose the significant factors in the design space that are critical for successful hybrid decision-making in the real world.
引用
收藏
页码:316 / 322
页数:7
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