BRINGING THE PEOPLE BACK IN

By A. Sharma. 1997

Subfields: Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Social Sciences & Humanities

1. Olga Russakovsky
2. Emiel van Miltenburg
3. Arvind Narayanan

Citations in the corpus

• The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021, background): “The limited analysis delegates the responsibility to ensure that all included datasets have been collected fairly to the creators of the benchmark (Denton et al., 2020).”
• REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets (2020, background): “Although we have limited the scope of our work to the contents of the dataset itself, there are much broader questions of fairness to be considered regarding the role that datasets play (Denton et al., 2020; Paullada et al., 2020).”
• Bugs in the Data: How ImageNet Misrepresents Biodiversity (2022, unknown): “This has been built upon by further scholarship around the ethical and political dimensions of dataset curation and construction (Prabhu and Birhane 2021; Denton et al. 2020) and the values that are embedded in datasets (Scheuerman, Hanna, and Denton 2021).”