David Gray Widder

Orcid: 0000-0002-6912-8067

Affiliations:
  • Cornell University, USA
  • Carnegie Mellon University, PA, USA (former)


According to our database1, David Gray Widder authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
What Is a 'Bug'?
Commun. ACM, November, 2024

Ethical Tech Begins with Ethical Workplaces: Power Dynamics in Companies and Universities.
XRDS, 2024

Watching the Generative AI Hype Bubble Deflate.
CoRR, 2024

From Stem to Stern: Contestability Along AI Value Chains.
CoRR, 2024

Power and Play: Investigating "License to Critique" in Teams' AI Ethics Discussions.
CoRR, 2024

Epistemic Power, Objectivity and Gender in AI Ethics Labor: Legitimizing Located Complaints.
CoRR, 2024

What is a "bug"? On subjectivity, epistemic power, and implications for software research.
CoRR, 2024

Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

The Emerging Artifacts of Centralized Open-Code.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Dislocated accountabilities in the "AI supply chain": Modularity and developers' notions of responsibility.
Big Data Soc., January, 2023

The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance.
CoRR, 2023

Thinking Upstream: Ethics and Policy Opportunities in AI Supply Chains.
CoRR, 2023

It's about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them?
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Gender and Participation in Open Source Software Development.
Proc. ACM Hum. Comput. Interact., 2022

Gender and Robots: A Literature Review.
CoRR, 2022

Limits and Possibilities for "Ethical AI" in Open Source: A Study of Deepfakes.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Trust in Collaborative Automation in High Stakes Software Engineering Work: A Case Study at NASA.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2019
Barriers to Reproducible Scientific Programming.
Proceedings of the 2019 IEEE Symposium on Visual Languages and Human-Centric Computing, 2019

Gender in Open Source Communities: Different Migration Patterns and Forms of Work.
Proceedings of the 2019 IEEE Symposium on Visual Languages and Human-Centric Computing, 2019

A conceptual replication of continuous integration pain points in the context of Travis CI.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Why Do People Give Up FLOSSing? A Study of Contributor Disengagement in Open Source.
Proceedings of the Open Source Systems - 15th IFIP WG 2.13 International Conference, 2019

A Qualitative Study on Framework Debugging.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

2018
Debugging Framework Applications: Benefits and Challenges.
CoRR, 2018

I'm leaving you, Travis: a continuous integration breakup story.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018


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