Category: White Paper

INFORMS Ethics Guidelines

Accountability, Cooperation, Honesty, Rigor, Vigilance

Author: N/A; Publisher: INFORMS; Publication Year: N/A. The following resource provides a set of ethical guidelines for INFORMS members in reference to society, their organizations, and the profession as a whole. They recognize that data…
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AI Ethics

Artificial Intelligence, IBM

Author: N/A; Publisher: IBM Cloud Education; Publication Year: N/A. The following guide highlights the industry’s view of artificial intelligence (AI) ethics from IBM’s perspective and there is also a link to their own views as…
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The Right to Privacy in the Digital Age: Report by the UN High Commissioner for Human Rights

Artificial Intelligence, Hiring, Human Rights, Law Enforcement, Online Information Management, Public Benefit, United Nations

Author: N/A; Publisher: United Nations Human Rights Council; Publication Year: 2021. The following report from the United Nations Human Rights Commissioner identifies Artificial Intelligence (AI) and its widespread use as a threat to human rights,…
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Are Law Firms Liable When Their Computers Are Hacked?

Data Security, Data Security Breaches, Hacker, Third-Party

Author: N/A; Publisher: HG Legal Resources; Publication Year: N/A. The following resource discusses how despite being a victim, organizations and individuals can be held liable for data security breaches. Outsourcing to a third party vendor…
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Google Model Cards: A Proposed First Step

Google, Machine Learning, Transparency

Author: N/A; Publisher: Google Cloud; Publication Year: N/A. The following tool is a proposed method for machine learning transparency similar to Microsoft’s Datasheets for Datasets. It proposes a “card” that comes with each model, designed…
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FAIR Principles

Accessibility, Fairness, Findability, GO FAIR, Implementation Networks, Interoperability, Reusability

Author: N/A; Publisher: GO FAIR; Publication Year: 2016. The following article focusses on GO FAIR, a stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles. They use Implementation Networks to define and…
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Mitigating Bias in Artificial Intelligence: An Equity Fluent Leadership Playbook

Artificial Intelligence, Bias Mitigation, Business

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…
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Reducing Valuation Bias by Addressing Appraiser and Property Valuation Commentary

Appraisal, Automated Valuation Models, Federal Housing Finance Agency, Neighborhood Description, Racial Bias

Author: N/A; Publisher: Federal Housing Finance Agency; Publication Year: 2021. The following document is a commentary by the Federal Housing Finance Agency about the use of automated appraisal of houses through Automated Valuation Models (AVM’s).…
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Federal Data Strategy Data Ethics Framework

Data Usage, Decision-Making, Federal Government

Author: Trey Bradley et. al.; Publisher: Federal Data Strategy; Publication Year: 2019. The following resource is considered a data ethics framework for the federal government. Some key players in the data ethics decision making field…
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