Tag: Security
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Considerations and Benefits of Successful Healthcare Data Management
Click here to access original source Author: Jane Hite-Syed Publisher: Healthcare IT Today Year: 2022 Summary: This article discusses the importance of quality healthcare data management (HCDM) in the context of the increasing digitization of…
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AI has a Dangerous Bias Problem — Here’s How to Manage It
Accountability, Algorithms, Artificial Intelligence, Biased AI, Data Misuse, Explainability, Security, TransparencyAuthor: Thomas Macaulay, Alejandro Saucedo; Publisher: The Next Web; Publication Year: 2022. The following article discusses how almost all artificial intelligence (AI) algorithms are inherently biased as they do exactly what us the programmers tell…
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Australia’s Artificial Intelligence Ethics Framework
Accountability, Australia, Contestability, Environmental Wellbeing, Ethical Framework, Explainability, Fairness, Human Wellbeing, Privacy Protection, Reliability, Security, Societal Wellbeing, TransparencyAuthor: 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…
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10 Big Data Analytics Privacy Problems
Accountability, Anonymity, Data Masking, Discrimination, E-Discovery, Inaccurate Data, Misinterpretations, Privacy Breaches, Privacy Risks, Responsibility, SecurityAuthor: Rebecca Herold; Publisher: SecureWorld; Publication Year: 2014. The following article discusses how 10 of the most significant privacy risks are: 1). Privacy breaches and embarrassments; 2). Anonymization become impossible; 3). Insufficient data masking; 4).…
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Ethical Aspects of Facial Recognition Systems in Public Places
Author: Phillip Brey; Publisher: Emerald Insight; Publication Year: 2004. The following essay examines ethical aspects of the use of facial recognition technology for surveillance purposes in public and semipublic areas, focusing particularly on the balance…
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Seven Legal Questions for Data Scientists
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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Making Trust a Priority: A Framework for the Ethical Use of Data
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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The Forum Guide to Data Ethics
Author: N/A; Publisher: National Center for Education Statistics; Publication Year: N/A. The following resource provides an in-depth framework for data ethics that is generalizable to any team or organization. Integrity, data quality, and security were…
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The Ethics of People Analytics and AI in the Workplace: Four Dimensions of Trust
Author: Josh Bersin; Publisher: The Medium; Publication Year: 2019. The following article first establishes several ethical issues that can result from using artificial intelligence (AI) in hiring, managing employees, or making other decisions base on…