panel

Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management

Authors:

Julia Stoyanovich,

Bill Howe,

HV JagadishAuthors Info & Claims

SIGMOD '18: Proceedings of the 2018 International Conference on Management of Data

Pages 1635 - 1636

https://doi.org/10.1145/3183713.3205185

Published: 27 May 2018 Publication History

Get Access

Abstract

No abstract available.

References

[1]

Serge Abiteboul, Gerome Miklau, Julia Stoyanovich, Gerhard Weikum. Data, Responsibly. Dagstuhl Seminar 16291 available at http://drops.dagstuhl.de/opus/volltexte/2016/6764/

Google Scholar

[2]

H. V. Jagadish, Ethics of Data Science, MOOC available for free at https://www.edx.org/course/data-science-ethics-miciganx-ds101x

Google Scholar

[3]

Julia Stoyanovich, Serge Abiteboul, Gerome Miklau. Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis. Tutorial at EDBT 2016.

Google Scholar

[4]

Julia Stoyanovich, Bill Howe, Serge Abiteboul, Gerome Miklau, Arnaud Sahuguet, GerhardWeikum. Fides: Towards a Platform for Responsible Data Science. SSDBM 2017: 26:1--26:6.

Digital Library

Google Scholar

Cited By

View all

Atenas JHavemann LTimmermann C(2023)Reframing data ethics in research methods education: a pathway to critical data literacyInternational Journal of Educational Technology in Higher Education10.1186/s41239-023-00380-y20:1Online publication date: 20-Feb-2023
https://doi.org/10.1186/s41239-023-00380-y
Catania BGuerrini GAccinelli C(2022)Fairness & friends in the data science eraAI & SOCIETY10.1007/s00146-022-01472-538:2(721-731)Online publication date: 9-Jun-2022
https://doi.org/10.1007/s00146-022-01472-5
Andrade MGonçalez PBerti Junior DBaptista AConeglian C(2020)Ciência responsável dos dados: imparcialidade, precisão, confidencialidade, e transparência dos dadosInformação & Informação10.5433/1981-8920.2020v25n2p2625:2(26)Online publication date: 2-Jul-2020
https://doi.org/10.5433/1981-8920.2020v25n2p26

Index Terms

Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management
1. Information systems
  1. Data management systems
2. Social and professional topics
  1. Computing / technology policy

Recommendations

Fides: Towards a Platform for Responsible Data Science
SSDBM '17: Proceedings of the 29th International Conference on Scientific and Statistical Database Management

Issues of responsible data analysis and use are coming to the forefront of the discourse in data science research and practice, with most significant efforts to date on the part of the data mining, machine learning, and security and privacy communities. ...
Rebuilding 'ethics' to govern AI: How to re-set the boundaries for the legal sector?
ICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law

Artificial intelligence (AI) has been transforming the legal sector and profession given every day enhancing AI-driven legal tech tools. Considering the far-reaching ethical implications of such tools and the disparate functionalities of 'AI ethics' and '...
A Mulching Proposal: Analysing and Improving an Algorithmic System for Turning the Elderly into High-Nutrient Slurry
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

The ethical implications of algorithmic systems have been much discussed in both HCI and the broader community of those interested in technology design, development and policy. In this paper, we explore the application of one prominent ethical framework-...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SIGMOD '18: Proceedings of the 2018 International Conference on Management of Data

May 2018

1874 pages

ISBN:9781450347037

DOI:10.1145/3183713

General Chairs:
Gautam Das
University of Texas at Arlington, USA
,
Christopher Jermaine
Rice University, USA
,
Philip Bernstein
Microsoft Research, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2018

Check for updates

Author Tags

Qualifiers

Panel

Conference

SIGMOD/PODS '18

Sponsor:

SIGMOD

SIGMOD/PODS '18: International Conference on Management of Data

June 10 - 15, 2018

TX, Houston, USA

Acceptance Rates

SIGMOD '18 Paper Acceptance Rate 90 of 461 submissions, 20%;

Overall Acceptance Rate 785 of 4,003 submissions, 20%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
269
Total Downloads

Downloads (Last 12 months)30
Downloads (Last 6 weeks)11

Reflects downloads up to 12 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Atenas JHavemann LTimmermann C(2023)Reframing data ethics in research methods education: a pathway to critical data literacyInternational Journal of Educational Technology in Higher Education10.1186/s41239-023-00380-y20:1Online publication date: 20-Feb-2023
https://doi.org/10.1186/s41239-023-00380-y
Catania BGuerrini GAccinelli C(2022)Fairness & friends in the data science eraAI & SOCIETY10.1007/s00146-022-01472-538:2(721-731)Online publication date: 9-Jun-2022
https://doi.org/10.1007/s00146-022-01472-5
Andrade MGonçalez PBerti Junior DBaptista AConeglian C(2020)Ciência responsável dos dados: imparcialidade, precisão, confidencialidade, e transparência dos dadosInformação & Informação10.5433/1981-8920.2020v25n2p2625:2(26)Online publication date: 2-Jul-2020
https://doi.org/10.5433/1981-8920.2020v25n2p26

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Fides: Towards a Platform for Responsible Data Science

Rebuilding 'ethics' to govern AI: How to re-set the boundaries for the legal sector?

A Mulching Proposal: Analysing and Improving an Algorithmic System for Turning the Elderly into High-Nutrient Slurry