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: Tony Sun, Andrew Gaut, Shirlyn Tang, et al.; Publisher: Arxiv; Publication Year: N/A. The following article discusses how despite their success in modeling various applications, natural language processing (NLP) models propagate and may even amplify gender bias found in text corpora. While the study of bias in artificial intelligence is not new, methods to reduce gender bias in NLP are still in their early stages. The authors of this paper…
Author: Mike Conway, Daniel O’Connor; Publisher: Current Opinion in Psychology; Publication Year: 2016. The following article discusses how social media big data being combined with natural language processing (NLP) technology can address public health research questions. Mental health is the fifth greatest contributor to the global burden of disease. Population mental health systems require strengthening to address this need…
Author: Mary Pratt; Publisher: TechTarget; Publication Year: 2021. The following article features artificial intelligence (AI) experts who pointed to a Microsoft-designed chatbot called Tay as an example of how bias works and how it can hurt a business. Microsoft used machine learning and natural language processing technologies to create Tay, a chatbot meant to learn and engage with the online community as if it were a…
Author: Mark Coeckelbergh; Publisher: AI and Ethics; Publication Year: 2021. The following piece discusses how artificial intelligence (AI) can be used to help lessen climate change but can also exacerbate challenges. Examples mentioned are that computer data processing uses energy, can be used by fossil fuel industries, or contribute to excessive consumer consumption that harms the environment. This consideration was…
Author: Li Lucy, David Bamman; Publisher: Proceedings of the 3rd Workshop on Narrative Understanding; Publication Year: 2021. The following article talks about how GPT-3 is a commercially available natural language generator that has been shown to be useful in machine-in-the-loop creative writing. The stories it creates from simple prompts reinforce gender biases, such as men more often being prominent characters as they are in books, while being associated with…
Author: Katyanna Quach; Publisher: Scientific Reports; Publication Year: 2022. The following article provides a very unique way in explaining the successful traits needed for different ethical decision-making and value considerations in practical applications. The focus on innate animal behavior and setting certain types of traits up for success is just as important to consider so it does not impede the overall vision…
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2022. In the following article, Karen Hao writes the final story in a 5 part series on artificial intelligence (AI) colonialism. Parts 1 through 4 were all previously summarized. This final story takes place in rural New Zealand, following an indigenous couple who challenges AI’s identity and who it should serve. They are utilizing natural language processing…
Author: Jochen L. Leidner, Vassilis Plachouras; Publisher: ACL Anthology; Publication Year: 2017. The following article features Jochen L. Leidner and Vassilis Plachouras who are Data Scientists at Thomson Reuters, Research & Development located in the United Kingdom. Their article suggests a framework called “ethical by design” to ensure ethical standards on data science projects, particularly natural language processing (NLP) projects…
Author: Hila Gonen, Yoav Goldberg; Publisher: Allen Institute for Artificial Intelligence; Publication Year: 2019. The following study talks about gender bias in word embeddings, an important component in Natural Language Processing. There have been debiasing methods that were created and widely used to help eliminate the bias, but the paper argues that current debiasing methods are superficial and are just hiding the bias, not completely eliminating it…