Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis

Vithya Yogarajan; Gillian Dobbie; Henry Gouk

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arXiv · 2304.11094

Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis

Vithya Yogarajan·Gillian Dobbie·Henry Gouk

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Abstract

An indigenous perspective on the effectiveness of debiasing techniques for pre-trained language models (PLMs) is presented in this paper. The current techniques used to measure and debias PLMs are skewed towards the US racial biases and rely on pre-defined bias attributes (e.g. "black" vs "white"). Some require large datasets and further pre-training. Such techniques are not designed to capture the underrepresented indigenous populations in other countries, such as M\=aori in New Zealand. Local knowledge and understanding must be incorporated to ensure unbiased algorithms, especially when addressing a resource-restricted society.

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Vithya Yogarajan, Gillian Dobbie, Henry Gouk. 2023-04-17. Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. https://arxiv.org/abs/2304.11094

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