skip to main content
research-article

IEEE big data 2017 panel discussion on bias and transparency

Published: 30 July 2018 Publication History

Abstract

In January 2017, the ACM US Public Policy Council released a report on algorithmic transparency and accountability (ACM US Public Policy Council, 2017) which outlined several characteristics for algorithms to be considered transparent and accountable:

Reference

[1]
ACM US Public Policy Council. (2017). Statement on algorithmic transparency and accountability.

Cited By

View all
  • (2022)Exploring How Members of the Group of Twenty Develop Artificial Intelligence TechnologyHandbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy10.4018/978-1-6684-5849-5.ch006(97-118)Online publication date: 11-Nov-2022
  • (2019)Fair Transfer Learning with Missing Protected AttributesProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3306618.3314236(91-98)Online publication date: 27-Jan-2019
  1. IEEE big data 2017 panel discussion on bias and transparency

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image AI Matters
    AI Matters  Volume 4, Issue 2
    July 2018
    38 pages
    EISSN:2372-3483
    DOI:10.1145/3236644
    Issue’s Table of Contents

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 July 2018
    Published in SIGAI-AIMATTERS Volume 4, Issue 2

    Check for updates

    Qualifiers

    • Research-article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 13 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Exploring How Members of the Group of Twenty Develop Artificial Intelligence TechnologyHandbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy10.4018/978-1-6684-5849-5.ch006(97-118)Online publication date: 11-Nov-2022
    • (2019)Fair Transfer Learning with Missing Protected AttributesProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3306618.3314236(91-98)Online publication date: 27-Jan-2019

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media