Systemic Data Ethics Framework: A Stable Foundation for Responsible Innovation

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 framework is divided into 12 distinct domains that stand up as pillars of data ethics – enough to fully encapsulate the fine issues of data ethics but still few enough to simplify the complex notion. The 12 domains are…

Doing The Right Thing With Data: Start Exploring Data Ethics Now

Author: Jochem Dogger; Publisher: Capgemini; Publication Year: 2020. The following article makes a point that often unethical use of data results from a lack of digital literacy or little awareness of the implications of digital technologies being used. The author makes a point that ethics and compliance are different things. While compliance simply means “adhering to a strict set of rules,” ethics means “doing what is…

How Data Privacy Leader Apple Found Itself in a Data Ethics Catastrophe

Author: Daniel Lu, Mike Loukides; Publisher: O’Reilly; Publication Year: 2020. The following article uses a terribly unsuccessful product launch between Apple and Goldman Sachs to establish the difference between compliance and ethics, show that even companies with the best data privacy reputations still must maintain diligence, and illustrate how unethical behavior by companies can negatively affect consumer trust and…

How Privacy-Enhancing Technologies Can Accelerate Your Data Strategy

Author: N/A; Publisher: Harvard Business Review; Publication Year: 2021. The following article focuses on privacy-enhancing technologies (PETs) and how “vendors should be able to explain the technologies they use, and the benefits and trade-offs of each, in helping you maintain compliance with data privacy regulations while building consumer trust.” The article lists 6 key features to consider…