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Fighting Bias in AI Starts with the Data
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Author: Joe McKendrick; Publisher: ZDNet; Publication Year: 2022. The following article discusses the importance of data accuracy when building non-biased artificial intelligence (AI) models. At the heart of AI models is data, and so it is imperative to use high-quality, inclusive datasets that are not biased or skewed to deliver what the author refers to…
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Key Concepts for a Data Science Ethics Curriculum
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Author: Jeffrey Saltz, Neil Dewar, Robert Heckman; Publisher: Association for Computing Machinery (ACM) Digital Library; Publication Year: 2018. The following article features reviewed published codes of conduct and ethics in data science by the authors to create a list of the top 12 areas that should be covered in a data science ethics curriculum. They…
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10 Data Science Ethics Questions
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Author: Jeff Saltz; Publisher: Data Science Process Alliance; Publication Year: 2022. The following article provides 10 questions for a data science team to incorporate ethics into their projects. These questions address various aspects of ethics in data science. It is important to consider the laws surrounding the scope of projects. This includes the legal rights…
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