Author: N/A; Publisher: Accenture; Publication Year: N/A. The following article discuss how artificial intelligence (AI) has proved to be beneficial to business time and time again but with the use of AI comes a great…
Author: Mike Bugembe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms inherently have bias and there is a common problem of blind faith in data. Blind faith in data is trusting whatever…
Author: Michelle Seng Ah Lee; Publisher: Medium; Publication Year: 2022. The following article discusses the ethical concerns associated with the implementation of artificial intelligence (AI) programs in the insurance industry. Beyond privacy issues arising from…
Author: Michael Kearns, Aaron Roth; Publisher: Brookings; Publication Year: 2020. The following article is focused on frameworks for thinking about algorithmic bias and how to address the “unanticipated consequence of following the standard methodology of…
Author: Melody Goodman; Publisher: NYU School of Public Health; Publication Year: 2021. The following article discusses how biostatisticians are narrators who must be ethical in the way we tell stories. We must be aware of…
Author: Melissa Heidelberg; Publisher: Ethics, Medicine and Public Health; Publication Year: 2020. The following article discusses how the usage of advanced analytic techniques has revolutionized countless industries, and the clinical research and drug development industry…