Category: Diversity, Equity & Inclusion

Debating the Ethics of Deepfakes

Big Tech, Deepfake, Disinformation, Fake Digital Identities, Fraud

Author: Ashish Jaiman; Publisher: Observer Research Foundation; Publication Year: 2020. The following article discusses how with the rapid advancements in technology, there has also been an increase in deepfakes. This is when AI-generated synthetic media…
read more >>
Artificial Intelligence Risk & Governance

AI Adoption, AI/ML Attacks, Discrimination, risk categorization, risk mitigation, Risks

Author: Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS); Publisher: University of Pennsylvania; Publication Year: N/A. The following paper explores the potential risks of AI and provides a standardized practical categorization of these risks:…
read more >>
The Big Data Agenda

Big Data, Biomedical Studies, Data Collection

Author: Annika Richterich; Publisher: University of Westminster Press, Google Books; Publication Year: 2018. The following article highlights that gathering and analyzing big data raises many ethical issues. She gives a lot of background information on…
read more >>
Interview with Alix Dunn

Agile Ethics, Diversity, Innovation

Author: Anna Scott; Publisher: Open Data Institute; Publication Year: 2018. The following article features Co-founder of the Engine Room and consultant Alix Dunn as they talk with Anna Scott about “agile ethics,” how innovative organizations…
read more >>
8 Ways to Prevent Ageism in Artificial Intelligence

Ageism, Artificial Intelligence, Barrier to Entry, Healthcare

Author: Anna Meyer; Publisher: Inc.; Publication Year: 2022. The following article looks at how ageism is an often overlooked -ism, especially in data ethics. However, ageism is happening more and more not only in AI…
read more >>
Mapping for Accessibility: A Case Study of Ethics in Data Science for Social Good

Accessibility, Decision-Making, Ethical Thinking

Author: Anissa Tanweer, Margaret Drouhard, Brittany Fiore-Gartland, et al.; Publisher: Bloomberg Data for Good Exchange Conference; Publication Year: 2017. The following article emphasizes how important it is to engage in ethical thinking at the early…
read more >>
Good Data

Criminology, Data Science, Digital Humanities, Digital Media, Interdisciplinary, Justice, Law, Philosophy, Political Science, Public Health, Renewable Energy, Social Media, Sociology

Author: Angela Daly, S. Kate Devitt, Monique Mann; Publisher: Insitute of Network Cultures (Google Books); Publication Year: 2019. The following book moves away from critiquing bad data and instead brainstorms a more optimistic vision of…
read more >>
Ethical Frameworks for AI Aren’t Enough

Artificial Intelligence, Implementation, Metrics, Quantifying Potential Harm

Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2020. The following article describes how many organizations have adopted a set of high-level principles to ensure that their AI makes decisions in an ethical fashion…
read more >>
How to Fight Discrimination in AI

Algorithmic Discrimination, Algorithms, Artificial Intelligence, Discrimination, Protected Classes, Unintentional Discrimination

Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2020. The following article describes how ensuring that your AI algorithm doesn’t unintentionally discriminate against particular groups is a complex undertaking. What makes it so difficult…
read more >>