Information translated to audience members through audio and visuals that typically coordinate with one another to further project a message.
Author: N/A; Publisher: ParsonsTKO; Publication Year: 2021. The following video discusses how data storytelling is essential for any good data scientist. This makes it even more important for data scientists to be aware of privacy concerns, and avoid bias, and misinterpretation. This video includes panelists that all have expertise in the data ethics and regarding public relations. For example, if you publish a…
Author: N/A; Publisher: YimmyTalks; Publication Year: 2020. The following video starts off by discussing the importance of data and data scientists in today’s society outlining their power and influence. It then shifts to talking about the responsibility that comes with this power. Since data scientists and their models have…
Author: N/A; Publisher: Wired; Publication Year: 2018. The following video discusses how cops in Los Angeles (& many places) are using predictive algorithms in policing. Proponents say it is effective at reducing crime, but many people argue that it helps police justify racial profiling. The data is biased because policing statistics have always disproportionately targeted minorities, so these algorithms can not…
Author: N/A; Publisher: Wall Street Journal; Publication Year: 2018. The following video discusses how even though the General Data Protection Regulation (GDPR) was enforced in Europe, and not in the United States, it could be beneficial to look at how things are done in different countries. In May 2018, a new legislation was passed to ensure greater data privacy in European countries. This quick video…
Author: N/A; Publisher: TRT World; Publication Year: 2018. The following video discusses how because algorithms are written by humans, they are not any more objective than we are. Some examples of algorithmic bias include: Amazon’s Alexa failing to recognize different accents or Google Translate associating certain jobs with certain genders. Both machine learning and deep learning are dependent on huge…
Author: Tricia Wang; Publisher: TED; Publication Year: N/A. In the following video, Wang suggests that insight through an emotional lens often eludes big-data findings. Wang explains that while big data is important, the subsequent decisions made with it are better when paired with thick data. Thick data refers to “stories and interactions that cannot be quantified” and help you understand the human…
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: Fred Cate; Publisher: TEDx Talks; Publication Year: 2020. In the following video, Fred Cate discusses consumer consent during data collection. Frequently, consumers technically consent to their data being collected and used, but the complex legal and technical jargon in privacy agreements makes it incredibly difficult to know what they are consenting to. Ideally, companies should be transparent when asking…
Author: Stephen Spielberg; Publisher: N/A; Publication Year: 2002. The following film starring Tom Cruise concerns a future where people are arrested by a “Pre-Crime” unit before a crime is committed. There are several biases involved in this practice since certain groups of people may be targeted more than others based on past history. About halfway through the movie, ulterior motives for the founding of the Pre-…