Author: N/A; Publisher: Stanford Encyclopedia of Philosophy; Publication Year: 2020. The following resource is primarily focused on the way that big data and machine learning algorithms has changed the process of knowledge generation. At the end it explores the ethical constraints that arise from these developments. Aside from the usual concerns about discrimination, the article highlights the enormous incentives that…
Author: N/A; Publisher: PKWARE; Publication Year: 2021. The following article brings to light that there are companies out there that know they are unethically collecting data on consumers; however, there are some companies that are unaware of their unethical data collection methods. The term “Data Laundering” was mentioned and this essentially refers to the unethical practices of collecting data and then…
Author: Nina Hallowell, Michael Parker, Christoffer Nellåker; Publisher: Genetics in Medicine; Publication Year: 2018. The following article discusses how computational phenotyping (using machine learning algorithms [MLAs] to analyze photographic images) has improved healthcare experience for rare disease patients and facilitated the research for clinical geneticists. Although there are many benefits and beneficiaries of computational phenotyping, its use…
Author: N/A; Publisher: Eticas Foundation; Publication Year: 2018. The following infographic provides 9 main checklist items to go over when considering data ethics for a project. These include: 1). Team roles identified; 2). Project fully planned out; 3). Project approved; 4). Subjects gave consent; 5). Data provenance has been documented; 6). Privacy is prioritized; 7). Careful with third party sharing; 8). Scrutinized…
Author: A. Michael Froomkin; Publisher: Yale Journal of Health Policy, Law & Ethics, and Yale Journal of Law & Technology; Publication Year: 2019. The following article focuses on how a regulation was changed in 2019 to revise what it means for the requirement of informed consent. Now that companies collect data virtually everywhere and data scientists are trying to find correlations in virtually anything i.e. Machine Learning algorithms clustering people in an uneasily…