Responsible machine learning projects

被引:0
|
作者
Gogan, Janis L. [1 ]
机构
[1] Bentley University, Waltham,MA, United States
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
  • [21] Machine Learning Driven Responsible Gaming Framework with Apache Spark
    Mijic, Dejan
    Varga, Ervin
    2017 25TH TELECOMMUNICATION FORUM (TELFOR), 2017, : 796 - 799
  • [22] Do no harm: a roadmap for responsible machine learning for health care
    Jenna Wiens
    Suchi Saria
    Mark Sendak
    Marzyeh Ghassemi
    Vincent X. Liu
    Finale Doshi-Velez
    Kenneth Jung
    Katherine Heller
    David Kale
    Mohammed Saeed
    Pilar N. Ossorio
    Sonoo Thadaney-Israni
    Anna Goldenberg
    Nature Medicine, 2019, 25 : 1337 - 1340
  • [23] Do no harm: a roadmap for responsible machine learning for health care
    Wiens, Jenna
    Saria, Suchi
    Sendak, Mark
    Ghassemi, Marzyeh
    Liu, Vincent X.
    Doshi-Velez, Finale
    Jung, Kenneth
    Heller, Katherine
    Kale, David
    Saeed, Mohammed
    Ossorio, Pilar N.
    Thadaney-Israni, Sonoo
    Goldenberg, Anna
    NATURE MEDICINE, 2019, 25 (09) : 1337 - 1340
  • [24] Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition
    Charles Guan
    Hendra Suryanto
    Ashesh Mahidadia
    Michael Bain
    Paul Compton
    Human-Centric Intelligent Systems, 2023, 3 (3): : 232 - 243
  • [25] Rescuing responsible hydropower projects
    Ascher, William
    ENERGY POLICY, 2021, 150
  • [26] Machine Learning Algorithms for Construction Projects Delay Risk Prediction
    Gondia, Ahmed
    Siam, Ahmad
    El-Dakhakhni, Wael
    Nassar, Ayman H.
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2020, 146 (01)
  • [27] Machine learning based success prediction for crowdsourcing software projects
    Illahi, Inam
    Liu, Hui
    Umer, Qasim
    Niu, Nan
    JOURNAL OF SYSTEMS AND SOFTWARE, 2021, 178
  • [28] Estimation of Risk Contingency Budget in Projects using Machine Learning
    Capone, C.
    Narbaev, T.
    IFAC PAPERSONLINE, 2022, 55 (10): : 3238 - 3243
  • [29] The dynamic models for software development projects and the machine learning techniques
    Román, IR
    Santos, JCR
    INTERNATIONAL CONFERENCE ON PRODUCT FOCUSED SOFTWARE PROCESS IMPROVEMENT, 1999, 195 : 560 - 574
  • [30] Machine learning regression for estimating the cost range of building projects
    Gurmu, Argaw
    Miri, Mani Pourdadash
    CONSTRUCTION INNOVATION-ENGLAND, 2023,