Data Protection

Teaching Data Ethics: We’re Going to Ethics the Heck Out of This

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Author: Tristan Henderson; Publisher: Association for Computing (ACM) Machinery Digital Library; Publication Year: 2019. The following paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial intelligence, algorithmic accountability, filter bubbles and data protection, and practical mechanisms for…

Privacy and Data Science: Protecting Sensitive Data in the Age of Analytics

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Author: Tommy Jones; Publisher: Medium; Publication Year: 2019. The following article discusses how with the development of technology, the probability of a company experiencing a data breach becomes higher and higher. There are many data privacy protection technologies emerging but which one should be used and which is the right one is still hard to decide. This article offers 3 major methods of…

Op-Ed: Big Data Analytics in Healthcare is All About Ethics

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Author: Tim Sandle; Publisher: Digital Journal; Publication Year: 2020. The following article discusses the need for change in healthcare data. Ethics should be more of a priority for healthcare organizations. The author argues that privacy is not currently being taken seriously enough, and there should be more regulations that healthcare and pharmaceutical organizations must follow. Many countries have laws…

Data Ethics and the Impact on Customer Service

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Author: N/A; Publisher: Telus International; Publication Year: 2019. The following article talks about a digital security software company Thales, which says, the majority of consumers say companies are responsible for protecting them from data breaches, with 64% reporting they’re “unlikely to do business with a company where their financial or sensitive data was stolen.” Data stewardship and protection, therefore, is an…

Legal and Human Rights Issues of AI: Gaps, Challenges and Vulnerabilities

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Author: Rowena Rodrigues; Publisher: Journal of Responsible Technology; Publication Year: 2020. The following article looks at how ethical issues such as algorithmic transparency, cybersecurity vulnerabilities, unfairness, bias and discrimination, lack of contestability, legal personhood issues, intellectual property issues, adverse effects on workers, privacy and data protection issues may result in serious liability for damage and lack of accountability as…

Beyond Data Human Rights, Ethical and Social Impact Assessment in AI

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Author: Alessandro Mantelero; Publisher: Open Access; Publication Year: 2022. The following section of this book focuses on the impact of artificial intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based methodological framework to address it. Building on the limitations of data protection in dealing with the challenges of AI, the author proposes an integrated approach to risk…

6 Examples of Online Privacy Violation

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Author: Kayla Matthews; Publisher: Cybernews; Publication Year: 2021. The following articles describes how we live in a world where we are consistently online and using apps, and these companies have access to some of our personal information. In 2020, there was a rise in the use of online meeting platforms, such as Zoom. It was found that Zoom was able to match the user information to individuals’ LinkedIn…

Gaining a Competitive Advantage Through Data Ethics

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Author: Danielle Clifford; Publisher: Pinsent Masons; Publication Year: 2021. The following article discusses how the data ethics challenge spans multiple vectors. One of the most concerning issues centers around the artificial intelligence (AI) and machine learning-powered algorithms that form a key part of many organizations’ operations. These technologies have the potential to revolutionize crucial sectors such as…

Convention 108 and Protocol

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Author: N/A; Publisher: Council of Europe; Publication Year: N/A. The following document was one of the first initiatives in data protection. It was open for signing in January 1981. The most crucial idea of the Convention is that it aimed to guarantee people the right to data protection long before big data became a concern. Another important concept of this document is that it seeks to create a common legal space…

Synthetic Data Generation

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Author: Christian Schitton; Publisher: Medium; Publication Year: 2022. The following article discusses how synthetic data is a less well-known area of data science. Synthetic data addresses issues of insufficient representation in data. For example, models can become biased when trained on datasets where demographics are underrepresented. By creating synthetic, but demographically…