Tag: Biased Data
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The Real Reason to be Afraid of Artificial Intelligence
Accountability, Algorithms, Artificial Intelligence, Biased Data, COMPAS Program, Machine Learning, Model Training, Robotics, TransparencyAuthor: Peter Haas; Publisher: TEDx Talks; Publication Year: 2017. The following article features Peter Haas, who actually works in robotics at Brown University, who is afraid of robots. The example of how to train a…
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Data Bias: Why It Matters, and How to Avoid It
Artificial Intelligence, Association Bias, Biased Data, Confirmation Bias, Data Usage, Demographic Bias, Machine Learning, Measurement Bias, Privacy Regulations, Selection BiasAuthor: Megan Wells; Publisher: Scuba; Publication Year: N/A. The following article describes how with the rise of artificial intelligence (AI) and machine learning (ML), the use of data has multiplied over the years. The problem…
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AI Trained on 4Chan Becomes ‘Hate Speech Machine’
Author: Matthew Gault; Publisher: Vice; Publication Year: 2022. The following article serves as an extreme example of unethical data practices. There are 2 important takeaways from this article. First, artificial intelligence (AI) professionals must be…
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How Bad Data Keeps Us from Good AI
Algorithms, Artificial Intelligence, Biased Data, Data Collection, Data Infrastructure, Data Literacy, Data Quality, Unethical AIAuthor: Mainak Mazumdar; Publisher: TED; Publication Year: N/A. In the following talk, Mainak argues that the biased data is what makes unethical artificial intelligence (AI), not the algorithms. Instead of spending time and money on…
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Racist Data? Human Bias is Infecting AI Development
Author: John Murray; Publisher: The Guardian; Publication Year: 2019. The following article gives several real-life examples of times when unchecked bias had serious consequences. For example, unchecked bias in the COMPAS program caused Black defendants…
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8 Types of Data Bias That Can Wreck Your Machine Learning Models
Biased Data, Discrimination, Machine Learning, Representation, Selection Bias, Systemic Bias, Underrepresented DatasetsAuthor: Joanna Kaminska; Publisher: Statice; Publication Year: 2022. The following article discusses how it is important to know that while working with data there is a possibility that the data is biased; this is a…
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Human Bias in Machine Learning: How Well Do You Really Know Your Model?
Artificial Intelligence, Biased Data, Biased Results, Local Interpretable Model-Agnostic Explanations, Machine Learning, Objective Algorithm, Representation in Training Datasets, Training DataAuthor: Jim Box, Elena Snavely, and Hiwot Tesfaye; Publisher: SAS Global Forum; Publication Year: 2022. The following paper discusses how it is a common consensus that artificial intelligence (AI) and machine learning (ML) are going…
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The Three Big Ethical Concerns with Artificial Intelligence
Author: Frank Rudzicz; Publisher: MaRS Discovery District; Publication Year: 2019. In the following video, Frank Rudzicz, an artificial intelligence (AI) researcher, lays out the 3 big ethical concerns in AI. The first one is what…