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Full-Text Articles in Business Law, Public Responsibility, and Ethics
Computer Vision Machine Learning And Future-Oriented Ethics, Abagayle Lee Blank
Computer Vision Machine Learning And Future-Oriented Ethics, Abagayle Lee Blank
Honors Projects
Computer Vision Machine Learning (CVML) in the application of facial recognition is currently being researched, developed, and deployed across the world. It is of interest to governments, technology companies, and consumers. However, fundamental issues remain related to human rights, error rates, and bias. These issues have the potential to create societal backlash towards the technology which could limit its benefits as well as harm people in the process. To develop facial recognition technology that will be beneficial to society in and beyond the next decade, society must put ethics at the forefront. Drawing on AI4People’s adaption of bioethics for AI, …
Towards Quantifiable Metrics Warranting Industry-Wide Corporate Death Penalties, Joshua M. Pearce
Towards Quantifiable Metrics Warranting Industry-Wide Corporate Death Penalties, Joshua M. Pearce
Joshua M. Pearce
In the singular search for profits, some corporations inadvertently kill humans. If this routinely occurs throughout an industry, it may no longer serve a net positive social purpose for society and should be eliminated. This article provides a path to an objective quantifiable metric for determining when an entire industry warrants the corporate death penalty. First, a theoretical foundation is developed with minimum assumptions necessary to provide evidence for corporate public purposes. This is formed into an objective quantifiable metric with publicly-available data and applied to two case studies in the U.S.: the tobacco and coal mining industries. The results …
Towards Quantifiable Metrics Warranting Industry-Wide Corporate Death Penalties, Joshua M. Pearce
Towards Quantifiable Metrics Warranting Industry-Wide Corporate Death Penalties, Joshua M. Pearce
Department of Materials Science and Engineering Publications
In the singular search for profits, some corporations inadvertently kill humans. If this routinely occurs throughout an industry, it may no longer serve a net positive social purpose for society and should be eliminated. This article provides a path to an objective quantifiable metric for determining when an entire industry warrants the corporate death penalty. First, a theoretical foundation is developed with minimum assumptions necessary to provide evidence for corporate public purposes. This is formed into an objective quantifiable metric with publicly-available data and applied to two case studies in the U.S.: the tobacco and coal mining industries. The results …