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Conference proceedings : 2021 Ethics and Explainability for Responsible Data Science (EE-RDS) : October 27 - 28, 2021 / hosted by Data Science Across Disciplines Research Group, University of Johannesburg, South Africa Perception Robotics and Intelligent Machines Research Group and University of Moncton, Canada.

IEEE Xplore (IEEE/IET Electronic Library - IEL) Available online

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Format:
Book
Contributor:
Data Science Across Disciplines Research Group, contributor.
University of Johannesburg. South Africa Perception Robotics and Intelligent Machines Research Group, contributor.
University of Moncton, Canada, contributor.
Language:
English
Subjects (All):
Electronic data processing--Moral and ethical aspects--Congresses.
Electronic data processing.
Physical Description:
1 online resource : illustrations
Other Title:
2021 Ethics and Explainability for Responsible Data Science
Place of Publication:
Piscataway, New Jersey : IEEE, 2021.
Summary:
As a launching event of the Data Science Across Disciplines Research Group at the University of Johannesburg, this conference brings together reflections on both the actual and potential impact of data science across disciplines and sectors Submissions are welcome from any disciplinary background, with a focus on scientific contributions, conceptual themes, and reflections within the areas of Responsible Data Science Reliable and Trustworthy approaches for data engineering, data science and modern machine learning Algorithmic Fairness, Transparency, and Explainability Social and Ethical aspects of Responsible Data Science Use cases illustrating the cross disciplinary nature of the field of Data Science.
Contents:
CONFERENCE SYNOPSIS
2021 ETHICS AND EXPLAINABILITY FOR RESPONSIBLE DATA SCIENCE (EE-RDS)
2021 ETHICS AND EXPLAINABILITY FOR RESPONSIBLE DATA SCIENCE (EE-RDS) - PANEL DISCUSSIONS
2021 ETHICS AND EXPLAINABILITY FOR RESPONSIBLE DATA SCIENCE (EE-RDS) - POSTGRADUATE CHALLENGE.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9781665483582
166548358X

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