Author: Shlomi Hod, Karni Chagal-Feferkorn, Niva Elkin-Koren, Avigdor Gal; Publisher: Communications of the ACM; Publication Year: 2022. The following article explains ways that data science is meeting the legal space and how lawyers are being involved in the design of artificial intelligence and programs. It also mentions a course that is being offered to law students that focuses on data science and computer science spaces specifically…
Author: Sabina Leonelli; Publisher: The Royal Society; Publication Year: 2016. The following article talks about the challenges produced in data science around the responsibilities and accountabilities of individuals in the industry. The author advocates a flexible, participative management of data practices. Regulatory agencies should be responsible for encouraging data scientists to examine ethical implications of their work…
Author: Institute and Faculty of Actuaries; Publisher: Royal Statistical Society; Publication Year: 2019. The following article is a very well designed code of ethics that revolves around its defined 5 major themes of data ethics: 1). Seek to enhance the value of data science for society; 2). Avoid harm; 3). Apply and maintain professional competence; 4). Seek to preserve or increase trustworthiness; 5). Maintain accountability and oversight. The paper goes into…
Author: Rick Buck; Publisher: Wirewheel; Publication Year: 2021. The following article describes how each and every year there are new privacy laws that may be put into place that we as users of exploring and interpreting need to understand and be aware of. Without doing so, there could be repercussions for both us and the company we are working for making us subject to both lawsuits and financial penalties…
Author: Rachel Wells; Publisher: DataKind; Publication Year: 2022. The following article provides a great definition of ethics for the data science field. Her goal is not to create a one-stop-shop for ethical frameworks because she does not think that is possible. However, she wants to give enough points to help guide people in the right direction for a more ethical space…
Author: Prateek Majumder; Publisher: Analytics Vidhya; Publication Year: 2022. The following blog post defines the concept of ethics in data science and emphasizes the importance of data privacy and ownership. Companies and organizations collecting and analyzing an individual’s information must have prior consent for collection that transparently informs the individual how that information is being used. The blog gives…
Author: N/A; Publisher: Inside Bloomberg; Publication Year: 2018. The following video shows clips interviewing various data scientists regarding ethical codes among people in their profession. Because data science can impact many people’s lives, people must consider the implications of their work and focus on maximizing benefit while also minimizing harm to society. Look at the people who are being impacted…
Author: Nina H. Di Cara, Natalie Zelenka, Huw Day, Euan D.S. Bennet, Vanessa Hanschke, Valerio Maggio, Ola Michalec, Charles Radclyffe, Roman Shkunov, Emma Tonkin, Zoë Turner, Kamilla Wells; Publisher: National Library of Medicine; Publication Year: 2022. The following article discusses how awareness and management of ethical issues in data science are becoming crucial skills for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to allow data-science work to be influenced by those with expertise in sociological fields and so improve the ability…
Author: Natalia Domagala; Publisher: gov.uk; Publication Year: 2021. The following article discusses how data science has proven to be a quickly changing and complex field to navigate from the perspective of ethical use. The best way for any data science team to successfully hold themselves accountable and ensure every action they take is done with the proper ethics in mind is to have a specified data ethicist. This role…
Author: N/A; Publisher: Future Learn; Publication Year: N/A. The following article discusses how data science has increased rapidly; however, the concerns around the ethical use of it by organizations have risen alongside it. We have seen examples of concerns in different realms, algorithms accepting and denying bank loans, scanning resumes, cookies to monitor behaviors, and airlines to decide on differential pricing…