Author: Mike Loukides, Hilary Mason, DJ Patil; Publisher: O’Reilly; Publication Year: 2018. The following book focuses on implementing ethical guidelines into data scientists’ daily work. The authors provide 5 framing guidelines: consent, clarity, consistency, control, and consequences. It is important that the authors address the whole cycle of data science. They address ethical issues throughout data collection, modeling, model…
Author: N/A; Publisher: The Center for Open Science; Publication Year: 2014. The following paper addresses how the Center for Open Science’s (COS) mission is to increase the openness, integrity, and reproducibility of research. Toward this effort, they have created an online ecosystem where researchers can pre-register methods, publish data, share study materials, upload analysis code, and pre-write…
Author: Aphrodite Brinsmead; Publisher: Advertising Week; Publication Year: N/A. The following article details the responsibility of all parties involved in tailored online marketing and advertising to protect consumer data and use it in an ethical fashion. While usually the victim in cases of unethical data privacy from personalized ads created using data from other online interactions, consumers bear…
Author: Andrew Beers; Publisher: Forbes; Publication Year: 2022. The following article lists guidelines for ethical standards for companies using data ethics and AI. The first of the 3 guidelines is by setting up review panels. These review panels are independent organizations that can provide oversight, training, and other standards of practice. The second guideline is using resources that…
Author: Alexandria Jacobson; Publisher: Builtin; Publication Year: 2022. The following article focuses on Apixio, an AI healthcare company that is focused on delivering actionable insights to improve health outcomes. Their AI ethics revolve around the idea that healthcare data collection must be held to a higher standard than other industry organizations. They have best practices outlined for AI…