Author: N/A; Publisher: Berkeley School of Information; Publication Year: 2019. The following article talks about how one student is using data science to better the world. Master of Information and Data Science student and 2019 recipient of the Paul Fasana LGBTQ Studies Fellowship, Christina Papadimitriou is using the fellowship for her research for LGBTQ equality and rights. She has done various works to order to improve…
Author: Timnit Gebru; Publisher: DAIR Research Institute; Publication Year: N/A. The following website features an interdisciplinary and globally distributed artificial intelligence (AI) research institute that was founded by Timnit Gebru who was fired by Google in December 2020 for raising issues of discrimination in the workplace as was was the co-lead for Google’s Ethical AI research team. This resource seemed unique because it’s…
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: 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…
Author: Sam Levin; Publisher: The Guardian; Publication Year: 2017. The following article discusses how an artificial intelligence, developed by Stanford University, was used to guess people’s sexualities based on photos of their faces. The algorithm was 81% accurate with men and 74% with women. As many LGBTQ people face discrimination and harassment, the algorithm had a dangerous potential to violate…
Author: Sam Gilbert; Publisher: Bennett Institute of Public Policy, Cambridge; Publication Year: 2020. The following article discusses the following topics with respect big tech companies: privacy and surveillance; bias; discrimination; and injustice in algorithmic decisioning; encoding of ethical assumptions in autonomous vehicle systems; artificial general intelligence as an existential risk to humanity; software user interface design as an…
Author: Sabrina Dominguez; Publisher: Data Science Dojo; Publication Year: 2018. In the following article, Sabrina Dominguez summarizes 10 controversial data science projects involving big data. She looks at these examples through a business lens, with the goal of effectively marketing to customers. Even when trying to make a profit however, data ethics must still be considered. Big data has the opportunity to change lives…
Author: Rowena Rodrigues; Publisher: Journal of Responsible Technology; Publication Year: 2020. The following article looks at how ethical issues such as algorithmic transparency, cybersecurity vulnerabilities, unfairness, bias and discrimination, lack of contestability, legal personhood issues, intellectual property issues, adverse effects on workers, privacy and data protection issues may result in serious liability for damage and lack of accountability as…
Author: Rebecca Herold; Publisher: SecureWorld; Publication Year: 2014. The following article discusses how 10 of the most significant privacy risks are: 1). Privacy breaches and embarrassments; 2). Anonymization become impossible; 3). Insufficient data masking; 4). Unethical misinterpretation; 5). Inaccurate data or flawed models; 6). Discrimination; 7). Few legal protection; 8). Forever-existing data; 9). Concerns for e-…
Author: Nihar Dalmia, David Schatsky; Publisher: Deloitte. Insights; Publication Year: 2019. The following article provides a brief overview of how governments could and should be involved in the regulation of data ownership. Unlike so many other aspects of our lives that are regulated, data remains one of the most unregulated aspects of people’s lives, making it so much easier to abuse data that is collected on people. The article defines the…