user

Human-AI Collaboration in Recruitment and Selection

被引：0
|
作者：
Natarajan, Neil [1 ]
机构：
[1] Univ Oxford, Oxford, England
来源：
PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2023 | 2023年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
My research focuses on using algorithmic systems alongside human collaborators to outperform either humans or machines individually. I specialize in human-machine collaboration in recruiting and selecting talented groups of people.
引用
收藏
页码：7089 / 7090
页数：2
相关论文
共 50 条
  • [1] Human-AI Collaboration with Bandit Feedback
    Gao, Ruijiang
    Saar-Tsechansky, Maytal
    De-Arteaga, Maria
    Han, Ligong
    Lee, Min Kyung
    Lease, Matthew
    [J]. PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021, 2021, : 1722 - 1728
  • [2] Diverse Conventions for Human-AI Collaboration
    Sarkar, Bidipta
    Shih, Andy
    Sadigh, Dorsa
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [3] AI in Education, Learner Control, and Human-AI Collaboration
    Peter Brusilovsky
    [J]. International Journal of Artificial Intelligence in Education, 2024, 34 : 122 - 135
  • [4] Specifying AI Objectives as a Human-AI Collaboration Problem
    Dragan, Anca
    [J]. AIES '19: PROCEEDINGS OF THE 2019 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, 2019, : 329 - 329
  • [5] AI in Education, Learner Control, and Human-AI Collaboration
    Brusilovsky, Peter
    [J]. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2024, 34 (01) : 122 - 135
  • [6] Improving Human-AI Collaboration With Descriptions of AI Behavior
    Carnegie Mellon University, Pittsburgh
    PA, United States
    [J]. Proc. ACM Hum. Comput. Interact, 2023, CSCW1
  • [7] Human-AI Collaboration to Increase the Perception of VR
    Jaszcz, Antoni
    Prokop, Katarzyna
    Polap, Dawid
    Srivastava, Gautam
    Lin, Jerry Chun-Wei
    [J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2022, PT I, 2023, 13588 : 51 - 60
  • [8] Adaptive trust calibration for human-AI collaboration
    Okamura, Kazuo
    Yamada, Seiji
    [J]. PLOS ONE, 2020, 15 (02):
  • [9] Enhancing human-AI collaboration: The case of colonoscopy
    Introzzi, Luca
    Zonca, Joshua
    Cabitza, Federico
    Cherubini, Paolo
    Reverberi, Carlo
    [J]. DIGESTIVE AND LIVER DISEASE, 2024, 56 (07) : 1131 - 1139
  • [10] Human-AI Collaboration in a Student Discussion Forum
    Laney, Mason
    Dewan, Prasun
    [J]. COMPANION PROCEEDINGS OF 2024 29TH ANNUAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2024 COMPANION, 2024, : 74 - 77
12345