@inproceedings{0f65c0a214e64afba5ce9b2ab33b132e,
title = "A Crossroads for Hybrid Human-Machine Decision-Making",
abstract = "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.",
keywords = "AI, collaboration, combination, cooperation, decision making, human-machine, hybrid, interaction, mixed-initiative, symbiosis",
author = "Ben Wilson and Kayal Lakshmanan and Alan Dix and Alma Rahat and Matt Roach",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023 ; Conference date: 18-09-2023 Through 22-09-2023",
year = "2025",
month = jan,
day = "1",
doi = "10.1007/978-3-031-74627-7_24",
language = "English",
isbn = "9783031746260",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "316--322",
editor = "Rosa Meo and Fabrizio Silvestri",
booktitle = "Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Revised Selected Papers",
}