Ethical Considerations for Adolescent Online Risk Detection AI Systems

Good Systems: Ethical AI for CSCW (The 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing)

2 Pages Posted: 6 Jan 2020 Last revised: 29 Apr 2020

See all articles by Afsaneh Razi

Afsaneh Razi

Drexel University

Seunghyun Kim

Georgia Institute of Technology

Munmun De Choudhury

Georgia Institute of Technology

Pamela Wisniewski

Vanderbilt University, School of Engineering; University of Central Florida

Date Written: November 10, 2019

Abstract

We seek to develop future Artificial Intelligent (AI) risk detection algorithms to address keeping adolescents safe by providing accurate and customized services to teens and their parents. Training such accurate algorithms needs data of minor which raises ethical challenges. Also, the proper use of such systems is another issue. In this workshop, we hope to gain more insights about possible approaches to address these ethical challenges.

Keywords: Ethical AI; Online risk detection; Adolescent Online Safety

Suggested Citation

Razi, Afsaneh and Kim, Seunghyun and Choudhury, Munmun De and Wisniewski, Pamela, Ethical Considerations for Adolescent Online Risk Detection AI Systems (November 10, 2019). Good Systems: Ethical AI for CSCW (The 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing), Available at SSRN: https://ssrn.com/abstract=3503956

Afsaneh Razi (Contact Author)

Drexel University ( email )

3141 Chestnut St
Philadelphia, PA 19104
United States

HOME PAGE: http://https://www.afsanehrazi.com/

Seunghyun Kim

Georgia Institute of Technology ( email )

Atlanta, GA 30332
United States

Munmun De Choudhury

Georgia Institute of Technology

Atlanta, GA 30332
United States

Pamela Wisniewski

Vanderbilt University, School of Engineering ( email )

Nashville, TN
United States

University of Central Florida ( email )

4000 Central Florida Blvd
Orlando, FL 32816-1400
United States

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