Author: Tiffany Oliver; Publisher: TEDx Talks; Publication Year: 2022. In the following talk, Dr. Oliver talks about her work to address the underrepresentation of women and BIPOC in data science. In 2021, Dr. Oliver created a summer research program at Spelman College, a historically Black women’s college, to introduce Spelman students to data science. There are 2 notable aspects of Dr. Oliver’s…
Author: Thomas Brewster; Publisher: Forbes; Publication Year: 2022. The following video goes over the implementation of facial recognition technology in public places, specifically casinos. Both the creators of the facial recognition technology and another person offering data ethics concerns are featured in this video, so there are both sides to the argument about privacy concerns using data ethics. This facial…
Author: Thom Patterson; Publisher: Flying; Publication Year: 2022. The following article looked at the future of flying aircraft. Currently, companies are working on creating self-flying aircraft which could be beneficial for the future. Companies use data in order to train self-flying aircraft to have them take a certain path to reach the given destination. These aircraft get better each time after doing repetitive tasks…
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: N/A; Publisher: Australian Government; Publication Year: 2022. The following guidelines provided by the Australian Government has a list of 8 items that make up their data ethics framework. These include: 1). Human, societal and environmental wellbeing, 2). Human-centered values, 3). Fairness , 4). Privacy protection and security , 5). Reliability and safety , 6). Transparency and explainability , 7). Contestability, and…
Author: Tamara K. Nopper; Publisher: Medium; Publication Year: 2022. The following article examines the possibilities of alternative data initiatives for mitigating racial inequality in the U.S. credit scoring system This discusses the for-profit credit evaluation system and how alternative data and fundamental shifts in the system that performs credit evaluation can improve the experience for minority users…
Author: Surya Karunagaran; Publisher: Partnership on AI; Publication Year: 2022. The following article focuses on how Partnership on AI, inspired partially by Google Model Cards and Microsoft’s Datasheets for Datasets, has developed documentation on explainable artificial intelligence (AI) in the form of the XAI Toolsheet. Explainable AI comes from the desire to have more human-interpretable AI models, with better…
Author: Sunil Yadav; Publisher: Baseline; Publication Year: 2022. The following article discusses how technology is created by humans and often reflects human biases. It is important to prioritize having unbiased artificial intelligence (AI) algorithms and models, because biased AI systems can produce erroneous and discriminatory predictions, and impact a business’s reputation, future opportunities, and…
Author: Steve Durbin; Publisher: World Economic Forum; Publication Year: 2022. The following article discusses how although artificial intelligence (AI) promises to improve and streamline business operations and everyday life, there are proportional increasing concerns about the implementation of the technology. In order to counteract possible negative effects of AI, data scientists need to account for “inbuilt prejudices” that…