World's Best Scientists 2026 revealed!
Rachel K. E. Bellamy

Rachel K. E. Bellamy

D-Index & Metrics

Computer Science

D-Index
32
Citations
5186
World Ranking
13058
National Ranking
5257

Research.com Recognitions

  • 2016 - ACM Senior Member

Overview

Rachel K. E. Bellamy is affiliated with IBM in the United States and has contributed research primarily in the field of computer science with a focus on artificial intelligence. Their work encompasses various subfields including artificial intelligence, safety research, general decision sciences, health informatics, and sociology and political science.

Their main research topics cover explainable artificial intelligence (XAI), machine learning and data classification, machine learning and algorithms, ethics and social impacts of AI, decision-making and behavioral economics, artificial intelligence in healthcare and education, and adversarial robustness in machine learning.

Recent papers authored or coauthored by Rachel K. E. Bellamy include:

  • Explainable Active Learning (XAL), 2021, Proceedings of the ACM on Human-Computer Interaction
  • Joint Optimization of AI Fairness and Utility: A Human-Centered Approach, 2020, arXiv (Cornell University)
  • Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience, 2020, arXiv (Cornell University)
  • AI Explainability 360: Impact and Design, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • AI Explainability 360: Impact and Design, 2021, arXiv (Cornell University)

Frequent coauthors include Yunfeng Zhang, Kush R. Varshney, Q. Vera Liao, Bhavya Ghai, and Klaus Mueller. Their collaborations have contributed to advancing research in several areas of AI and its explainability.

The primary venues for their publications are arXiv (Cornell University), Proceedings of the ACM on Human-Computer Interaction, Proceedings of the AAAI Conference on Artificial Intelligence, and the Proceedings of the AAAI/ACM Conference on AI Ethics and Society.

Rachel K. E. Bellamy holds the ACM Senior Member award since 2016, reflecting recognition within the computing community.

Best Publications

  • AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

    R. K. E. Bellamy;K. Dey;M. Hind;S. C. Hoffman

  • Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making

    Yunfeng Zhang;Q. Vera Liao;Rachel K. E. Bellamy

  • AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

    Rachel K. E. Bellamy;Kuntal Dey;Michael Hind;Samuel C. Hoffman

  • FactSheets: Increasing trust in AI services through supplier's declarations of conformity

    M. Arnold;R. K. E. Bellamy;M. Hind;S. Houde

  • Designing educational technology: computer-mediated change

    R. K. E. Bellamy

  • Explaining models: an empirical study of how explanations impact fairness judgment

    Jonathan Dodge;Q. Vera Liao;Yunfeng Zhang;Rachel K. E. Bellamy

  • One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

    Vijay Arya;Rachel K. E. Bellamy;Pin-Yu Chen;Amit Dhurandhar

  • System and method for dynamically presenting a summary of content associated with a document

    Branimir Boguraev;Rachel Katherine Emma Bellamy;Yin Yin Wong

  • How Programmers Debug, Revisited: An Information Foraging Theory Perspective

    J. Lawrance;C. Bogart;M. Burnett;R. Bellamy

  • Moving into a new software project landscape

    Barthelemy Dagenais;Harold Ossher;Rachel K. E. Bellamy;Martin P. Robillard

  • Putting it all together: towards a pattern language for interaction design: A CHI 97 workshop

    Elisabeth Bayle;Rachel Bellamy;George Casaday;Thomas Erickson

  • Face Value? Exploring the Effects of Embodiment for a Group Facilitation Agent

    Ameneh Shamekhi;Q. Vera Liao;Dakuo Wang;Rachel K. E. Bellamy

  • BlogCentral: the role of internal blogs at work

    Jina Huh;Lauretta Jones;Thomas Erickson;Wendy A. Kellogg

  • Smalltalk scaffolding: a case study of minimalist instruction

    Mary Beth Rosson;John M. Carrol;Rachel K. E. Bellamy

  • Trials and tribulations of developers of intelligent systems: A field study

    Charles Hilllaz;Rachel Bellarnyz;Thomas Ericksonz;Margaret Burnett

  • An Information Foraging Theory Perspective on Tools for Debugging, Refactoring, and Reuse Tasks

    Scott D. Fleming;Chris Scaffidi;David Piorkowski;Margaret Burnett

  • Using information scent to model the dynamic foraging behavior of programmers in maintenance tasks

    Joseph Lawrance;Rachel Bellamy;Margaret Burnett;Kyle Rector

  • Parsing and Gnisrap: a model of device use

    T. R. G. Green;R. K. E. Bellamy;M. Parker

  • Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers

    Bhavya Ghai;Q. Vera Liao;Yunfeng Zhang;Rachel Bellamy

  • Advances in human-computer interaction.

    Unknown

  • The whats and hows of programmers' foraging diets

    David J. Piorkowski;Scott D. Fleming;Irwin Kwan;Margaret M. Burnett

  • Deploying CogTool: integrating quantitative usability assessment into real-world software development

    Rachel Bellamy;Bonnie John;Sandra Kogan

  • Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers

    David Piorkowski;Scott Fleming;Christopher Scaffidi;Christopher Bogart

Frequent Co-Authors

Bonnie E. John
Bonnie E. John IBM (United States)
Thomas Erickson
Thomas Erickson Independent Scientist / Consultant, US
Kush R. Varshney
Kush R. Varshney IBM (United States)
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Michael Hind
Michael Hind IBM (United States)
Wendy A. Kellogg
Wendy A. Kellogg IBM (United States)
Margaret Burnett
Margaret Burnett Oregon State University
Brian P. Gaucher
Brian P. Gaucher IBM (United States)
Jeffrey O. Kephart
Jeffrey O. Kephart IBM (United States)
Pin-Yu Chen
Pin-Yu Chen IBM (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related fields can open up diverse career possibilities for computer science students. Many who study computer science are interested in interdisciplinary opportunities such as working with environmental data or integrating technology in sustainable practices. For those drawn to environmental initiatives, an environmental science degree can enable you to apply computational skills to ecological challenges, enhancing career flexibility.

The demand for tech professionals has led many universities to offer flexible options like online study. Some students may prioritize speed; others affordability. If you are looking for an accelerated pathway, the fastest computer science degree programs allow you to earn your diploma quickly and efficiently. For those mindful of tuition costs, earning the cheapest online environmental science degree or a mechanical engineering degree online cost-effectively can make education more accessible.

Whichever pathway you choose, combining technical knowledge with industry-specific expertise is a smart way to boost employability and adapt to evolving job markets.

Best Scientists Citing Rachel K. E. Bellamy

Trending Scientists

Recently Published Articles