Resources that discuss equitable distribution and use of resources.
Author: N/A; Publisher: BBC News; Publication Date: 2018. The following news article describes how an Amazon AI algorithm was trained on data submitted by amazon applicants which mainly came from men. This led to it teaching the system to prefer male candidates and it started to penalize CVs that included the word “women.” Though they had the best intentions and didn’t…
Author: Barry Lam; Publisher: Hi-Phi Nation; Publication Year: 2019. The following podcast episode explores how the promise of machine learning and artificial intelligence to increase efficiency in all walks of life has found its way into the world of policing. Barry Lam discusses the case of predictive policing in Los Angeles, showing us the various programs being implemented (e.g., PredPol,…
Author: Bahman Rostami-Tabar, Kyle Polich; Publisher: Data Skeptic; Publication Year: 2021. The following podcast episode from the “Data Skeptic” podcast, hosted by Kyle Polich, interviews Bahman Rostami-Tabar about his work with the organization “Forecasting for Social Good.” This organization leads workshops teaching time series analysis and forecasting in underdeveloped countries. One of the ethical…
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 stages of a project and that the approach to ethical thinking should be a thoughtful and intentional balancing of priorities. The article looked into a case study where ethical decision-making was involved in every stage of the project…
Author: All Tech is Human; Publisher: Scribd; Publication Year: 2020. The following guide looks at how all technology is human-developed and provides a means to understand the “Responsible Tech” ecosystem, find resources from social purpose organizations globally, and interviews with subject matter experts across all fields. There are 3 main sections: how to enter the responsible tech…
Author: Adriene Hill; Publisher: Crash Course; Publication Year: 2019. The following video provides important background on the context and consequences of data-driven research relative to the foundational elements of statistics. It also provides links to historical instances of data abuse to the current problems with data ethics and privacy. It challenges the reader to ponder questions…
Author: N/A; Publisher: Accenture, Northeastern University Ethics Institute; Publication Year: 2019. The following framework on page 15 of this document outlines what a “hypothetical committee on data use might look like” with 9 people at the table. “For any given ethics committee, members will have appropriate domain knowledge as well. For example, the consumer advocate, social scientist, subject matter expert…