Responsible machine learning projects

被引：0
|
作者：
Gogan, Janis L. [1 ]
机构：
[1] Bentley University, Waltham,MA, United States
来源：
27th Annual Americas Conference on Information Systems, AMCIS 2021 | 2021年
关键词：
Adverse events - Error events - Governance mechanisms - Learning error - Machine-learning - Policy control - Responsible AI - Responsible machine learning - System control - Systems policies;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
59
引用
下载
收藏
相关论文
共 50 条
  • [41] Participative and transversal projects as a learning base for acquiring a critical and socially responsible view of communication
    Torres Valdes, Rosa Maria
    Nunez Gomez, Patricia
    Irene Hanninen, Liisa
    HISTORIA Y COMUNICACION SOCIAL, 2014, 19 : 443 - 456
  • [42] Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course
    Raschka, Sebastian
    SECOND TEACHING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKSHOP, VOL 170, 2021, 170 : 46 - 50
  • [43] Responsible Leadership in Projects: A Literature Review
    Guardiani, Elisa
    Favari, Edoardo
    Fierro, Paolino
    COMPLEXITY AND SUSTAINABILITY IN MEGAPROJECTS, MERIT WORKSHOP 2023, 2024, 493 : 158 - 165
  • [44] ARE ENGINEERS RESPONSIBLE FOR IMPACT OF THEIR PROJECTS ON HEALTH
    IVES, KJ
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS, 1972, 52 (01): : 83 - &
  • [45] Machine learning model for delay risk assessment in tall building projects
    Sanni-Anibire, Muizz O.
    Zin, Rosli Mohamad
    Olatunji, Sunday Olusanya
    INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2022, 22 (11) : 2134 - 2143
  • [46] Machine learning provides effective leak detection in carbon sequestration projects
    Sinha, Saurabh
    de Lima, Rafael Pires
    Lin, Youzuo
    JPT, Journal of Petroleum Technology, 2021, 73 (07): : 67 - 68
  • [47] Classifying defective software projects based on machine learning and complexity metrics
    Hammad, Mustafa
    INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS, 2021, 13 (04) : 401 - 412
  • [48] Identifying Common Errors in Open-Ended Machine Learning Projects
    Skripchuk, James
    Shi, Yang
    Price, Thomas
    PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, 2022, : 216 - 222
  • [49] Holistic workflow for knowledge-driven machine learning projects in manufacturing
    Blum, Anne
    Wilhelm, Yannick
    Klein, Steffen
    Schnur, Christopher
    Reimann, Peter
    Mueller, Rainer
    Schuetze, Andreas
    TM-TECHNISCHES MESSEN, 2022, 89 (05) : 363 - 383
  • [50] Cost Estimation of Civil Construction Projects using Machine Learning Paradigm
    Arage, Sphurti S.
    Dharwadkar, Nagaraj V.
    2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC), 2017, : 594 - 599
12345