The Data Equity Framework

Author: N/A; Publisher: We All Count; Publication Year: N/A. The following article discusses how anytime data is involved, decisions are being made and those decisions have consequences. Equity needs to be at the forefront, and this 7-step framework is a systematic approach to doing so. Each step has equity-impacting decision points that must be evaluated. These steps are 1). Funding (this is the stage that…

Using Data Science to Boost Diversity, Using Diversity to Boost Data Science

Author: Matt Swayne; Publisher: Penn State; Publication Year: 2021. The following article discusses the symposium, “Harnessing the Data Revolution to Enhance Diversity,” which had the message “Data science can only be data science for good when it can be data science for all.” The symposium aimed to dissect issues and provide opportunities surrounding improving equity and diversity in data science. The article…

Ethical Issues Surrounding Research of AI in Health Care

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…

IBM Leads, More Should Follow: Racial Justice Requires Algorithmic Justice

Author: Joy Buolamwini, Aaina Agarwal, and Sasha Costanza-Chock; Publisher: The Medium; Publication Year: 2020. The following article applauds IBM for the decision to restrict sales of facial recognition technology in response to bias and abuse. It’s an example of a company genuinely, if belatedly, demonstrating a commitment to basic artificial intelligence ethics. The article calls on more tech companies to do the same, as well as for companies to commit…

Can You Hear the Will of the People in the Vote? Assessing Fairness in Redistricting via Monte Carlo Sampling

Author: Jonathan Mattingly; Publisher: Society for Industrial and Applied Mathematics; Publication Year: 2021. The following video is the author presenting his research on how local, state, and national elections depend on the underlying maps that are drawn my state legislators. In a process known as “Gerrymandering,” state legislators of particular parties can use statistics to redraw congressional maps to influence the outcomes of elections despite voting…

Ethical Issues Surrounding Research of AI in Health Care

Author: F. Lisa Murtha, Pralika Jain and Kiyong Song; Publisher: Reuters; Publication Year: 2022. The following article discusses the controversy around artificial intelligence (AI) in healthcare has become a barrier to using AI to better life. Some say AI models can be flawed and effect patient safety. Models only do what we tell them, so is it entirely the AI’s fault? To further help humans lives in relation to AI, the World Health Organization released a…

Ethical Challenges Posed by Big Data

Author: Edmund G. Howe, Falicia Elenberg; Publisher: Innovations in Clinical Neuroscience; Publication Year: 2020. The following paper discusses how Big Data is becoming a larger field within the world of data science as more and more information is collected on people. This paper uses the field of medicine as an example but the ethical concepts raised in this paper can be generalized to the area of Big Data more broadly. The 3 concepts are 1). Respecting people’s…

How to Interview a Tech Company: A Guide for Students

Author: N/A; Publisher: AI Now Institute; Publication Year: 2019. The following article has readers consider the importance of how a company acts ethically or unethically, or even if there are considerations in place. As we have learned, data science and analytics can have real impacts on people and in perpetuating disparities or forming new ones. AINOW has put together this resource…