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  • Algorithms can induce and reproduce bias and act unfairly on people or groups of people. Although this may be widely recognized by now, the mechanisms behind digital inequity are often black-boxed and their full impact remains unexplored. We talked with Allison Koenecke about (lack of) transparency in socio-technical systems and the need to 'hear' communities that are potentially disadvantaged. Allison Koenecke is an Assistant Professor of Information Science at Cornell University. Her research interests lie at the intersection of economics and computer science, focusing on algorithmic fairness. Allison received her PhD from Stanford University. The interview was conducted by Indira Sen and Leon Fröhling, who met Allison Koenecke during the International Conference on Web and Social Media (ICWSM-23) on June 7, 2023 in Limassol, Cyprus. The interview has been edited for clarity and length. (en)
  • Algorithms can induce and reproduce bias and act unfairly on people or groups of people. Although this may be widely recognized by now, the mechanisms behind digital inequity are often black-boxed and their full impact remains unexplored. We talked with Allison Koenecke about (lack of) transparency in socio-technical systems and the need to 'hear' communities that are potentially disadvantaged. Allison Koenecke is an Assistant Professor of Information Science at Cornell University. Her research interests lie at the intersection of economics and computer science, focusing on algorithmic fairness. Allison received her PhD from Stanford University. The interview was conducted by Indira Sen and Leon Fröhling, who met Allison Koenecke during the International Conference on Web and Social Media (ICWSM-23) on June 7, 2023 in Limassol, Cyprus. The interview has been edited for clarity and length. (de)
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  • Koenecke, A. (2023). Expert Insights into Fairness Issues in Computational Social Science Research. An Interview with Allison Koenecke (GESIS Guides to Digital Behavioral Data, 6). Cologne: GESIS – Leibniz Institute for the Social Sciences. (en)
  • Koenecke, A. (2023). Expert Insights into Fairness Issues in Computational Social Science Research. An Interview with Allison Koenecke (GESIS Guides to Digital Behavioral Data, 6). Cologne: GESIS – Leibniz Institute for the Social Sciences. (de)
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  • 2023 (xsd:gyear)
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  • 2023 (xsd:gyear)
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  • Expert Insights into Fairness Issues in Computational Social Science Research - An Interview with Allison Koenecke (en)
  • Expert Insights into Fairness Issues in Computational Social Science Research - An Interview with Allison Koenecke (de)
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  • gesis_guides (en)
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  • GESIS-Guides (xsd:string)
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  • 1.0 (de)
  • 1.0 (en)