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Mitigating Bias in Artificial Intelligence: An Equity Fluent Leadership Playbook
Bias, Diversity, Equity & Inclusion, Education & Training, Frameworks, Legal & Policy, Underrepresented Author, White Paperlnbressa
Author: Genevieve Smith, Ishita Rustagi; Publisher: Berkeley Haas, Center for Equity, Gender and Leadership; Publication Year: N/A. The following resource is a business playbook for mitigating bias in artificial intelligence (AI). It has several real-life examples of bias in AI that could lead to unethical situations or business decisions. The authors introduce 7 plays that…
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The Ethical Dilemma at the Heart of Big Tech Companies
Author: Emanuel Moss, Jacob Metcalf; Publisher: Harvard Business Review; Publication Year: 2019. The following article discusses how for better or worse, the parameters of ethically-developed business processes will drive future administrative regulations, algorithmic accountability documentation, investment priorities, and human resource decisions. When we collectively debate how to manage the consequences of digital…
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AI Solutions to Change Your Business
Banking & Finance, Blog Article, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Healthcare, Industry-Specificlnbressa
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…
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The Ethics of Analytics: Answering the “Should We” Questions
lnbressa
Author: Aaron Gavzy; Publisher: RTInsights; Publication Year: 2021. The following article explores the issue of data ethics from a less common perspective. Instead of providing the usual code of ethics for data analysts and businesses, the author asks a more intriguing question: “Is every question worth exploring with data?” He raises examples from the healthcare…
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