Author: Wanda Curlee; Publisher: Project Management Institute; Publication Year: 2022. The following article covers the application of data ethics in projects and it provides a framework that this website approves of. The author provides an overview of guidelines that they followed when creating their framework. One that was eye-catching was to go beyond the letter of the law. Laws have not caught up to data science and so it’s up to…
Author: Angela Daly, S. Kate Devitt, Monique Mann; Publisher: Insitute of Network Cultures (Google Books); Publication Year: 2019. The following book moves away from critiquing bad data and instead brainstorms a more optimistic vision of the field of data. They seek to promote conversations between many disciplines and stakeholders in order to raise awareness for good & ethical data practices. They combine expertise from many fields to get a…
Author: Alex Zielinksi; Publisher: Portland Mercury; Publication Date: 2022. The following article discusses ShotSpotter, a technology implemented by cities that uses microphones placed on streetlights, telephone poles, or other tall structures to collect audio data. This data is then used to detect sounds like a gunshot. When that sound is registered by the microphone, ShotSpotter will send…
Author: Adi Robertson; Publisher: The Verge; Publication Year: 2022. The following article discusses a recent lawsuit brought by the Federal Trade Commission (FTC) against a company called Kochava that was selling data, which in some cases included both personal details and location data that put individuals at risk. This was particularly sensitive in light of the recent overturning of…
Author: Aaina Agarwal, Patrick Hall, Sara Jordan, Brenda Leong; Publisher: Future of Privacy Forum; Publication Year: 2021. The following article focuses on looking at the ethics of AI use from a lawyer’s perspective, providing some of the potential legal issues that could arise with AI misuse. The article brings up 5 different aspects of AI to be aware of. Firstly, machine learning systems are probabilistic. No machine learning model can make…