Tag: Debiasing
-
Mitigating Gender Bias in Natural Language Processing: Literature Review
Artificial Intelligence, Bias Mitigation, Debiasing, Gender Bias, Natural Language Processing TechnologyAuthor: Tony Sun, Andrew Gaut, Shirlyn Tang, et al.; Publisher: Arxiv; Publication Year: N/A. The following article discusses how despite their success in modeling various applications, natural language processing (NLP) models propagate and may even…
-
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Author: Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.; Publisher: Arxiv; Publication Year: 2016. The following article discusses how machine learning applied blindly runs the risk of amplifying biases in data. Word embedding, a popular…
-
Using Unethical Data to Build a More Ethical World
Author: Jaime Brandon; Publisher: Springer Link; Publication Year: 2020. The following article discusses how it is commonly known that there are lots of algorithms that are biased in one way or another. In this paper,…
-
Bias in AI: What it is, Types, Examples & 6 Ways to Fix It in 2022
Artificial Intelligence, Automation, Debiasing, Decision-Making, Diversify, Human-Driven Processes, Multidisciplinary, Representation in Training Datasets, Third-Party, Training Data, TransparencyAuthor: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article describes how in the imperfect world, AI can’t be expected to be completely unbiased. However, there are various ways to minimize bias by…