Essays about: "unintended bias"
Showing result 1 - 5 of 6 essays containing the words unintended bias.
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1. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. READ MORE
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2. Biases in AI: An Experiment : Algorithmic Fairness in the World of Hateful Language Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hateful language is a growing problem in digital spaces. Human moderators are not enough to eliminate the problem. Automated hateful language detection systems are used to aid the human moderators. One of the issues with the systems is that their performance can differ depending on who is the target of a hateful text. READ MORE
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3. The Impact of AI on Banks' Risk Management Approach : A qualitative study on the effects of AI in the banking sector from a holistic perspective
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : The banking sector is experiencing the rise of several new types of innovations and trends. For instance, increased use of Artificial Intelligence (AI) to streamline day-to-day activities. These trends are, e.g. READ MORE
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4. Understanding Automatic Speech Recognition for L2 Speakers and Unintended Discrimination in Artificial Intelligence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The thesis aimed to investigate the effects of unintended bias in artificial intelligence has on society and if it was possible to improve the performance of Auto-Speech- Recognition models by training them on non-native Swedish speakers. Two Automatic Speech Recognition systems, Microsoft Azure and Google cloud speech-to-text, were used in the process. READ MORE
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5. Reducing Unintended bias in Text Classification using Multitask learning.
University essay from Blekinge Tekniska HögskolaAbstract : .... READ MORE