Author: N/A; Publisher: YimmyTalks; Publication Year: 2020. The following video starts off by discussing the importance of data and data scientists in today’s society outlining their power and influence. It then shifts to talking about the responsibility that comes with this power. Since data scientists and their models have…
Author: William A. Tanenbaum, Kiyong Song, Linda A. Malek; Publisher: Reuters; Publication Year: 2022. The following article outlines the 2 basic theories/ideas regarding who is responsible or liable for the actions taken and decisions made by an artificial intelligence (AI). The first argument is that the organization that utilizes the AI is solely responsible for the effects of its outcomes. The second contends that those developed the AI should have to…
Author: Travis Greene; Publisher: Medium; Publication Year: 2020. In the following article, Travis Greene discusses the idea of data scientists becoming activist data scientists. Loosely basing the idea on a concept called “activist engineering” which was developed in 2015, Greene describes an activist data scientist as someone who realizes the social and political community they live in, and who realizes that…
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: Rebecca Herold; Publisher: SecureWorld; Publication Year: 2014. The following article discusses how 10 of the most significant privacy risks are: 1). Privacy breaches and embarrassments; 2). Anonymization become impossible; 3). Insufficient data masking; 4). Unethical misinterpretation; 5). Inaccurate data or flawed models; 6). Discrimination; 7). Few legal protection; 8). Forever-existing data; 9). Concerns for e-…
Author: Lisa Murtha, Pralika Jain, Kiyong Song; Publisher: Reuters; Publication Year: 2022. The following article discusses how artificial intelligence (AI) models can be flawed considering humans are the ones behind making these models. The authors highlight how important the roles of the developers are when training an algorithm. Specifically this article is exploring AI ethics in the field of healthcare. Some of the ethical concerns include…
Author: George Lawton, Ivy Wigmore; Publisher: Tech Target; Publication Year: N/A. The following definition discusses how an artificial intelligence (AI) code of ethics is important because it is able to provide guidance to stakeholders to make ethical decisions regarding the use and implementation of artificial intelligence. The 4 ethical challenges surrounding AI are explainability, responsibility, fairness, and misuse. For AI to be ethical it…