Author: Daniel Munro; Publisher: Maclean’s; Publication Year: 2017. The following article discusses how police agencies are using data collection techniques to perform “predictive” policing to determine where crimes are more likely to happen in the…
Author: d’Alessandro B, O’Neil C, LaGatta T.; Publisher: National Library of Medicine; Publication Year: 2017. The following article describes discrimination in the context of machine learning. The authors discuss how models can be biased even…
Author: Courtney Eiland; Publisher: Noodle; Publication Year: 2022. The following article discusses the importance of bioethics for healthcare professionals. The author begins by highlighting laws pertaining to patient privacy, such as the Privacy Act of…
Author: Christopher Tozzi; Publisher: ITPro Today; Publication Year: 2022. The following article discusses how businesses have started putting more of an “inclusive” focus on machine learning models to avoid bias and error while creating models.…
Author: Christina Pazzanese Publisher: The Harvard Gazette Publication Year: 2020 Summary: The following article starts off by talking about all the different ways in which AI or machine learning can help improve society and business.…
Author: Christian Schitton; Publisher: Medium; Publication Year: 2022. The following article discusses how synthetic data is a less well-known area of data science. Synthetic data addresses issues of insufficient representation in data. For example, models…
Author: Chloe Tan; Publisher: Marketing-Interactive; Publication Year: 2022. The following article discusses a study on how chief marketing officers are emphasizing that data ethics is important within their company but many do not actually know…
Author: Charlene Chu et al.; Publisher: The Gerontologist, Volume 62; Publication Year: 2022. The following paper explores the impacts of ageism and technology. They define “digital ageism” as the repercussions of bias against older individuals…