Category: Frameworks

Ethical AI Governance Framework

AI Governance Framework, Artificial Intelligence, Competence, Explainability, Stakeholder Engagement, Sustainability, Transparency

Author: N/A; Publisher: Saidot; Publication Year: 2021. The following article outlines 6 building blocks of an ethical artificial intelligence (AI) governance framework. These include strategy and values (acceptable use of AI in alignment with business…
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Ethical Ways to Collect Data Responsibly

Consent, Data Collection, Third-Party Data, Transparency

Author: Shabl; Publisher: Stop Having a Boring Life; Publication Year: 2020. The following article details 4 main strategies to collect data in an ethical manner without infringing on people’s privacy or consent. These include transparency…
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The Ethical Questions That Haunt Facial-Recognition Research

Algorithms, China, Consent, Facial Recognition Systems, Surveillance

Author: Richard Van Noorden; Publisher: Nature; Publication Year: 2020. In the following article, science journalist Richard Van Noorden discusses how facial recognition technology is being used for malicious purposes. The Chinese government has abused facial…
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Data Experts as the Balancing Power of Big Data Ethics

Big Data, Ethical Use, Social Responsbility

Author: Richard Novak; Publisher: ProQuest; Publication Year: 2021. The following source discusses how although Big Data requires prioritization of social responsibility and adherence to data ethics, these areas tend to be understaffed. The 3 major…
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A Practical Guide to Building Ethical AI

AI Ethical Risk Framework, AI Ethics Program, Artificial Intelligence, Data Governance, Organizational Awareness

Author: Reid Blackman; Publisher: The Harvard Business Review; Publication Year: 2020. The following article describes how failing to account for ethical issues in artificial intelligence (AI) can lead to reputational, regulatory, and legal risks for…
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Responsible AI: From Principles to Practice

AI Trust, Responsible AI

Author: Ray Eitel-Porter; Publisher: Accenture; Publication Year: 2021. The following article is written by Ray Eitel-Porter, Global Lead for Responsible AI at Accenture. In this article, he talks about how in order to create trust…
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Cangrade Announces Patent for Removing Bias in AI Hiring

Adverse Impact Algorithm, Cangrade, Hiring, Hiring Software

Author: N/A; Publisher: Globe Newswire; Publication Year: 2022. The following article discusses how Cangrade received a patent on its “bias-free” hiring technology solution. Cangrade used an iterative Adverse Impact algorithm, meaning not only will the…
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Ethics in Data Science and Proper Privacy and Usage of Data

Data Ownership, Data Privacy, Data Science, OkCupid, Robinhood, Transparency

Author: Prateek Majumder; Publisher: Analytics Vidhya; Publication Year: 2022. The following blog post defines the concept of ethics in data science and emphasizes the importance of data privacy and ownership. Companies and organizations collecting and…
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The UK Data Ethics Framework Explained

Framework Usage, United Kingdom

Author: Pierre-Nicolas Schwab; Publisher: Into the Minds; Publication Year: 2018. The following article breaks down the United Kingdome (UK) data ethics framework and answers multiple questions about it such as who it is made for,…
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