Resources that discuss concerns or passions regularly encountered by a large group of people and trying to understand how to navigate it better.
Author: Alex Zielinksi; Publisher: Portland Mercury; Publication Date: 2022. The following article discusses ShotSpotter, a technology implemented by cities that uses microphones placed on streetlights, telephone poles, or other tall structures to collect audio data. This data is then used to detect sounds like a gunshot. When that sound is registered by the microphone, ShotSpotter will send…
Author: Alex Connock, Andrew Stephen; Publisher: The Conversation; Publication Year: 2021. The following article describes how an artificial intelligence (AI) algorithm was invited to debate alongside students in an Artificial Intelligence for Business program at Oxford. The algorithm is called the Megatron Transformer, developed by the Applied Deep Research team at Nvidia. It is trained on real-world data, including…
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…
Author: N/A; Publisher: Telus International; Publication Year: 2021. The following article discusses how ensuring a diverse team is important, but you can “enlist the help of someone with the domain expertise to review your collected and/or annotated data. Someone from outside of your team may see biases that your team has overlooked.” Bias testing should become part of the development…
Author: N/A; Publisher: AdventHealth University; Publication Year: 2020. The following article highlights 6 ethical issues in healthcare in 2020 (and beyond). The ethical issues are 1). taking advantage of Big Data without dehumanizing patients; 2). safeguarding patient privacy when using population health data; 3). ensuring equal access to customized medicine; 4). reconciling patient…
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…
Author: N/A; Publisher: Accenture; Publication Year: N/A. The following framework is unique in that it is not published by a third party, a data ethics organization, or an educator. Rather, this is the ethical framework that Accenture, a Fortune 500 IT and consulting company, uses to guide its practices and publications for others in the technology sector. Since it is from a business…
Author: Aaron Klein; Publisher: The Brookings Institution; Publication Year: 2020. The following paper goes in depth regarding why establishing and maintaining proper data governance programs and ethical data frameworks are so important to financial institutions. As AI technologies have grown to more prominence, so have issues that have arisen with them. There have already been…
Author: Peter Railton; Publisher: Philosophy Bites on Podcast Addict; Publication Year: 2022. The following podcast episode talks about the nature of AI from a philosophical lens and asks what kind of moral responsibility should we give to AI. The episode reckons with the question of whether these entities actually have a moral responsibility. The philosopher, Peter Railton, talks about the many issues and…