Tag: Fairness

Systemic Data Ethics Framework: A Stable Foundation for Responsible Innovation

Accountability, Agency, Application, Compliance, Consequences, Fairness, Inclusivity, Infrastructure, Integral Theory, Materials, Strategy, Sustainability, Transparency

Author: Peter Brownell; Publisher: Systemic Data Ethics; Publication Year: N/A. The following article and visualization establishes a framework for data ethics that can be mapped visually in a number of ways. At its core, the…
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Seven Legal Questions for Data Scientists

Agency, Artificial Intelligence, Fairness, Negligence, Security, Third-Party, Transparency

Author: Patrick Hall, Ayoub Ouederni; Publisher: O’Reilly; Publication Year: 2021. The following article poses 7 legal questions that data scientists should address before they deploy artificial intelligence (AI). Answering these questions should help you better…
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Data Ethics Framework

Accountability, Fairness, Project Life Cycle, Transparency

Author: N/A; Publisher: gov.uk; Publication Year: 2020. The following framework created by the UK government in 2020 is meant to be used throughout a full life cycle of a project. The framework is broken down…
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Ethical Use of AI in Hiring

Accuracy, AI Privacy, AI Usage, Algorithms, Artificial Intelligence, Candidate Success, Fairness, Hiring, Talent Acquisition

Author: Nina Alag Suri; Publisher: LinkedIn; Publication Year: 2021. The following article describes how artificial intelligence (AI) plays an important role in talent acquisition and can make more precise predictions of candidate success. In order…
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Making Trust a Priority: A Framework for the Ethical Use of Data

Choice, Data Creation, Data Policies, Fairness, Safety, Security, Transparency

Author: Nicholas Knoop; Publisher: Medium; Publication Year: 2021. The following article discusses how with the global creation of data is expected to reach 180 zettabytes by 2025, and there is a growing imperative for data…
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Microsoft’s Framework for Building AI Systems Responsibly

Artificial Intelligence, Data Governance, Fairness, Human Oversight, Impact Assessments

Author: Natasha Crampton; Publisher: Microsoft; Publication Year: 2022. The following article features Natasha who is the Chief Responsible Artificail Intelligence (AI) officer at Microsoft. She talks about a framework to guide how we build AI…
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Fairlearn

Algorithms, Artificial Intelligence, Fairlearn, Fairness, Unfairness Mitigation

Author: Miro Dudik; Publisher: Fairlearn; Publication Year: N/A. The following tool is Fairlearn which is a open-source project that helps data scientists improve fairness of their artificial intelligence (AI) systems. It includes a python library…
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Data in Advertising: What it Means to be an Ethical Marketer

Accuracy, Consumer Privacy, Data Sourcing, Decency, Ethical Data Collection, Fairness, Marketing, Third-Party Data, Transparency

Author: Michael Peralta; Publisher: iab. Tech Lab; Publication Year: 2022. The following article emphasizes the importance of ethical data collection and utilization in marketing, in addition to providing a set of principles to be followed…
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Designing Ethical AI-Practices & Processes

Artificial Intelligence, Ethical AI, Fairness, IBM

Author: Mia Shah-Dand; Publisher: AI Ethics Diaries: Keeping it Real Podcast; Publication Year: 2022. The following podcast episode features Milena Pribic, a senior artificial intelligence (AI) designer at IBM, who gives advice on building ethical…
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