David Piorkowski

International Conference on Human Factors in Computing Systems · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from David Piorkowski's perspective

Ordered by how strongly the researchers David Piorkowski trusts endorse each paper. Same corpus, a different order for every researcher.

1. Certifying and Removing Disparate Impact
2. Big Data's Disparate Impact
3. Datasheets for datasets
4. Model Cards for Model Reporting
5. Data Statements for NLP: Toward Mitigating System Bias and Enabling Better Science
6. The Limits of Abstract Evaluation Metrics: The Case of Hate Speech Detection
7. Disparate Impact in Big Data Policing
8. On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products
9. Machine Learning that Matters
10. Value Sensitive Design and Information Systems

Their papers

• FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019) — 370 citations
• How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation (2019) — 311 citations
• FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity. (2018) — 7 citations