Carolyn Ashurst

Orcid: 0009-0007-4214-4554

According to our database1, Carolyn Ashurst authored at least 15 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reimagining AI in Social Work: Practitioner Perspectives on Incorporating Technology in their Practice.
CoRR, 2024

2023
Publisher Correction: Advancing ethics review practices in AI research.
Nat. Mac. Intell., January, 2023

Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey.
CoRR, 2023

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Exploring Police Perspectives on Algorithmic Transparency: A Qualitative Analysis of Police Interviews in the UK.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Fairness Without Demographic Data: A Survey of Approaches.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022
Advancing ethics review practices in AI research.
Nat. Mac. Intell., December, 2022

AI Ethics Statements: Analysis and Lessons Learnt from NeurIPS Broader Impact Statements.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Disentangling the Components of Ethical Research in Machine Learning.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Racial Disparities in the Enforcement of Marijuana Violations in the US.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Institutionalizing ethics in AI through broader impact requirements.
Nat. Mach. Intell., 2021

Institutionalising Ethics in AI through Broader Impact Requirements.
CoRR, 2021

RAFT: A Real-World Few-Shot Text Classification Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


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