White Paper

An in-depth report or guide about a specific topic and the problems that surround it.

A 20-Year Community Roadmap for Artificial Intelligence Research in the U.S.

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Author: Y. Gil and B. Selman; Publisher: Computing Community Consortium (CCC) and Association for the Advancement of Artificial Intelligence (AAAI); Publication Year: 2019. The following paper touches on such a broad spectrum of societal facets artificial intelligence (AI) affects and should be considered more closely. The different areas stimulated ideas such as highlighting the AI Open Knowledge network need. Currently the major tech companies have access to a majority of this resource so it is imperative to open…

Principled Artificial Intelligence

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Author: Jessica Fjeld, Adam Nagy; Publisher: Berkman Klein Center; Publication Year: 2020. The following paper describes and explains 9 principles of ethical data practices: Informed consent of data subjects, security of data, anonymization, transparency, diversity, bias, prominence and communication. The principles listed in this framework cover 4 essential values of ethical data practices: Fairness, benefit, openness and reliability…

Principle-Based Ethics Framework for Access to and Use of Veteran Data

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Author: Veterans Affairs Department; Publisher: Federal Register; Publication Year: 2022. The following article explains the Department of Veteran Affairs (VA)’ changes in data ethics and the implementation of their new data ethics framework. The government had been concerned of the data ethics in the VA and decided to implement a framework that was developed for the department. This includes the access, sharing, and use of veterans data…

Big Data Ethics Recommendations for the Insurance Industry

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Author: Christian Mottas; Publisher: University of Zurich; Publication Year: 2019. The following article discusses how insurers should not use data that is not related to the insured risk because such behavior will damage the customer’s trust in the insurance industry. Regulators should implement provisions specific to the insurance industry to deter unwanted forms of personalization using Big Data…

Ethical AI: Five Guiding Pillars

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Author: Todd Lohr, Tracy Gusher; Publisher: KPMG International; Publication Year: 2019. The following report contains policies and actions that can be implemented to operate an ethical artificial intelligence (AI). The 5 pillars are: 1). Prepare employees now, 2). Develop strong oversight and governance, 3). Align cybersecurity and ethical AI, 4). Mitigate bias, and 5). Increase transparency…

Data Ethics Framework

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Author: N/A; Publisher: The United Kingdom’s Department for Digital, Culture, Media & Sport; Publication Year: 2020. The following framework is based on 3 principles: transparency, accountability, and fairness. These principles, supported by 5 specific actions, guide organizations through different stages of the project and provide practical considerations. The 5 actions are: 1). Define the goal or benefit, 2). Use diverse teams to minimize bias (evaluators may be part-…

Ethical Use of Big Data in Financial Services

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Author: N/A; Publisher: Institute of Chartered Accountants in England and Wales; Publication Year: N/A. The following article talks about how the boards need to lead their businesses on the “right thing to do,” both in terms of the law, their regulatory responsibilities (i.e., treating customers fairly outcomes) and ethics. When shifting towards greater use of technology, banks, insurers, and investment managers need to be pragmatic about the value of…

Algorithmic Bias Explained: How Automated Decision-Making Becomes Automated Discrimination

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Author: N/A; Publisher: The Greenlining Institute; Publication Year: 2021. The following article discusses algorithmic biases in credit and finance, healthcare, employment, government programs, education and housing. Focusing in on algorithmic bias in credit and finance, banks and the fintech industry have eagerly replaced loan officers with algorithms that are more complex and use more sources of data than ever before to make…

CARE Principles for Indigenous Data Governance

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Author: N/A; Publisher: The Global Indigenous Data Alliance; Publication Year: 2022. The following guidelines set out the minimum requirements for Indigenous-designed data approaches and standards, which can be generalized to all approaches and standards to data ethics surrounding marginalized communities. They show the current inadequacy of consent and data privacy protections, and highlight community-controlled…

Australia’s Artificial Intelligence Ethics Framework

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Author: N/A; Publisher: Australian Government; Publication Year: 2022. The following guidelines provided by the Australian Government has a list of 8 items that make up their data ethics framework. These include: 1). Human, societal and environmental wellbeing, 2). Human-centered values, 3). Fairness , 4). Privacy protection and security , 5). Reliability and safety , 6). Transparency and explainability , 7). Contestability, and…