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 align your organization’s technology with existing and future laws, leading to less discriminatory and invasive customer interactions, fewer regulatory or litigation headwinds…

Fear, Uncertainty, and Period Trackers

Author: Kendra Albert; Publisher: Berkman Klein Center for Internet and Society, Harvard University; Publication Year: 2022. The following article talks about the uncertainty surrounding period trackers, and breaks down the fears behind ethical and privacy issues surrounding such apps. Privacy and ethics go hand in hand. She states that period trackers are not the primary form of digital evidence likely to be used in abortion prosecutions today, and that the biggest threat is a…

Are Law Firms Liable When Their Computers Are Hacked?

Author: N/A; Publisher: HG Legal Resources; Publication Year: N/A. The following resource discusses how despite being a victim, organizations and individuals can be held liable for data security breaches. Outsourcing to a third party vendor and being a victim of a hacker are all viewed in the lens of reasonable and industry standard of data security. Individuals must always remain vigilant…

Infografia Data Ethics Checklist

Author: N/A; Publisher: Eticas Foundation; Publication Year: 2018. The following infographic provides 9 main checklist items to go over when considering data ethics for a project. These include: 1). Team roles identified; 2). Project fully planned out; 3). Project approved; 4). Subjects gave consent; 5). Data provenance has been documented; 6). Privacy is prioritized; 7). Careful with third party sharing; 8). Scrutinized…

Bias in AI: What it is, Types, Examples & 6 Ways to Fix It in 2022

Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article describes how in the imperfect world, AI can’t be expected to be completely unbiased. However, there are various ways to minimize bias by proper testing of algorithms and building AI systems with responsible AI principles. Fixing bias in AI systems can be summarized in the following 6 steps: 1)…

The Battle for Digital Privacy Is Reshaping the Internet

Author: Brian X. Chen; Publisher: The New York Times; Publication Year: 2021. The following article discusses how the age of digital marketing has raised some privacy concerns regarding how data are collected from consumers. This article discusses the changes that Apple and Google are making to change their privacy policies. The changes will make it harder for advertisers to access customer data. For…

Data Ethics for the Digital Age

Author: Autumn Caines; Publisher: University of Michigan-Dearborn News; Publication Year: 2022. The following article discusses common ethical issues regarding data as the digital age has become more and more prevalent in society. She goes into depth about how there have been examples of potential overreach with how much data is being collected on people even when they don’t always realize it, like when Canvas…

Suicide Hotline Shares Data with For-Profit Spinoff, Raising Ethical Questions

Author: Alexandra Levine; Publisher: Politico; Publication Year: 2022. The following resource describes how one large service that offers crisis help for those in mental distress has faced ethical concerns as it shares customers’ data with a third-party partner. While the company says it is only for good use in order to better provide help to people moving forward, and that they strip all…