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Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings.

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Toward situated interventions for algorithmic equity: lessons from the field., , , , , , , , and . FAT*, page 45-55. ACM, (2020)Game Development as Speculative Design: Teaching Data Science Ethics Using Decentralized Research Groups., , , , and . ASIST, volume 59 of Proc. Assoc. Inf. Sci. Technol., page 630-632. Wiley, (2022)Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification., , and . NeurIPS, (2022)An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists., , , , , , , , , and 6 other author(s). FAccT, page 772-781. ACM, (2021)Advancing diversity in human centered data science education through games., , , and . ASIST, volume 57 of Proc. Assoc. Inf. Sci. Technol., Wiley, (2020)Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings., , , , , , , , , and 1 other author(s). FAccT, page 1199-1210. ACM, (2024)An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists., , , , , , , , and . CoRR, (2019)Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition., , , , , , , , and . AIES, page 895-904. ACM, (2021)Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy., , , , , , , , , and . SIGMOD Rec., 53 (1): 65-74 (March 2024)Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy., , , , , , and . CoRR, (2022)