| Vol-2812 urn:nbn:de:0074-2812-0 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# RDAI-2021
Reframing Diversity in AI: Representation, Inclusion and Power

### Short Paper Proceedings of the Workshop on Reframing Diversity in AI: Representation, Inclusion and Power
co-located with 35th AAAI Conference on Artificial Intelligence (AAAI 2021), virtual event on February 9, 2021.

Edited by

### Achille Fokoue *
Chinyere Agunwa **
Kayla Lee *
Lauren Thomas Quigley ***
Stacy Hobson *

* IBM Research, Yorktown Heights, New York, USA
** IBM Research, San Jose, California, USA
*** IBM Cloud and Cognitive Software, Dallas, Texas, USA

## Table of Contents

- Preface
  Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted (9 included in this volume).

- The Role of Arts in Shaping AI Ethics 1-6
  Ramya Srinivasan, Kanji Uchino
- Connecting Underrepresented Minorities and Qualified Job Positions Using Online Data 7-8
  Maysa M G Macedo, Marisa Affonso Vasconcelos, Andrea Britto Mattos, Rogerio Abreu de Paula
- The Limits of Global Inclusion in AI Development 9-16
  Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang
- Reexamining Human-centered Design Methods for Inclusive Technology 17-18
  Lauren Pak
- Reframing Opportunity and Fairness in the AI Diversity Pipeline 19-20
  Armanda Lewis
- Microbanking: Bringing Credit to Underrepresented Communities by Enhancing Local Financial Practices With AI 21-24
  Heloisa Candello, Andrea Britto Mattos, Claudio Pinhanez, Rogerio de Paula, Marcelo Carpinete Grave
- Addressing Unique Fairness Obstacles within Federated Learning 25-27
  Annie Abay, Ebube Chuba, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig
- When You Know Better You Do Better: Increasing Opportunities for Diverse Experiences at Data Science Conferences 28-31
  Latifa Jackson, Heriberto Acosta-Maestre, Hasan Jackson
- An Automated Framework to Identify and Eliminate Systemic Racial Bias in the Media 32-36
  Lamogha Chiazor, Geeth de Mel, Graham White, Gwilym Newton, Joe Pavitt, Richard Tomsett

2021-02-08: submitted by Achille Fokoue, metadata incl. bibliographic data published under Creative Commons CC0
2021-02-14: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|