Author: N/A; Publisher: The Wise Marketer; Publication Year: 2022. The following article talks about how businesses could benefit from customer data and pointed out the 4 main ethical issues (ownership, transparency, consent, and equitable value exchange) that need to be aware of when processing customer data. The goal is to ensure that customers understand, agree, and benefit from the process…
Author: Will Horvath; Publisher: Data Science Ethics; Publication Year: 2019. The following article discusses how with countries fighting against the growing threat of privacy invasion (and many losing), Europe implemented in 2018 the General Data Protection Regulation (GDPR) that provides the ‘most sweeping protection of user privacy rights yet passed in the world.’ France’s CNIL used the GDPR to fine Google for $57 million…
Author: Vindu Goel; Publisher: The New York Times; Publication Year: 2014. The following article focuses on issues prompted by controversial studies by Facebook. The first, in 2014, measured how users’ emotions were impacted by an adjustment to the kind of content appearing in their news feed. The second, from 2010, sent notifications to users reminding them to vote, and found that notifications that showed a list…
Author: Tim Sheehan; Publisher: GWI; Publication Year: N/A. The following article discusses how banks are starting to change the way they do business due to so much data being available. But the banking companies do not want to lose the trust of their customers. The article suggests for banks to share with their customers what data they have collected on them, allow for opt-in consent, only get what data they…
Author: Thomas J., McNabb S.; Publisher: Global Health Data Methods; Publication Year: N/A. The following article discusses how misuse in health range from a physician not informing their patient about the risks of a procedure they will perform to the manager of a public health data system not protecting the confidentiality of patient records. Public health systems must protect the confidentiality of sensitive information while ensuring practitioners…
Author: N/A; Publisher: The Marketing Analytics Show; Publication Year: 2022. The following article discusses how successful marketing is centered around building trust and relationships with consumers. In a world of cookie pop-ups and privacy invasions, consent and full transparency about data use are more relevant than ever. With the need to comply with legal policies, businesses often take a business-focused legal…
Author: N/A; Publisher: The Global Indigenous Data Alliance; Publication Year: 2022. The following guidelines set out the minimum requirements for Indigenous-designed data approaches and standards, which can be generalized to all approaches and standards to data ethics surrounding marginalized communities. They show the current inadequacy of consent and data privacy protections, and highlight community-controlled…
Author: Saurabh Mishra; Publisher: Medium; Publication Year: 2020. The following article discusses how data is very important when it comes to artificial intelligence (AI) and machine learning as it acts as the fuel source for these methods. One of the few unethical examples that the article made reference to was an unethical use of facial recognition where the U.S.’s Immigration and Customs Enforcement (ICE) used facial…
Author: Satish Gattadahalli; Publisher: STAT; Publication Year: 2020. The following article talks about the usage of artificial intelligence (AI) in health care which raises ethical issues that are paramount and fundamental in order to avoid harming patients, creating liability for health care providers, and undermining public trust in these technologies. The article talks about why AI bias should not be overlooked. Although…
Author: Jennifer Priestly; Publisher: SAS Users; Publication Year: 2018. The following article discusses how the data ecosystem is evolving. Data used to be small, structured, and static. Then it became large, unstructured, and in motion. Now it is massive, integrated, and dynamic. The issues related to ethics are much more complex than they used to be. Why do data scientists need to understand ethics? Well, a few people can…