Search Results for author: Jamell Dacon

Found 6 papers, 2 papers with code

Are You Worthy of My Trust?: A Socioethical Perspective on the Impacts of Trustworthy AI Systems on the Environment and Human Society

no code implementations18 Sep 2023 Jamell Dacon

In particular, we consider these impacts from a multi-disciplinary perspective: computer science, sociology, environmental science, and so on to discuss its inter-connected societal risks and inability to simultaneously satisfy aspects of well-being.

Sociology

Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals

1 code implementation15 Jun 2022 Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, Jiliang Tang

Online discussions, panels, talk page edits, etc., often contain harmful conversational content i. e., hate speech, death threats and offensive language, especially towards certain demographic groups.

Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American English

no code implementations NAACL (HCINLP) 2022 Jamell Dacon

Currently, natural language processing (NLP) models proliferate language discrimination leading to potentially harmful societal impacts as a result of biased outcomes.

What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020

no code implementations20 Sep 2021 Jamell Dacon, Jiliang Tang

Consequently, our findings highlight that social activism done by Black Lives Matter activists does not diverge from the social issues and topics involving police-brutality related and racially-motivated killings of Black individuals due to the shape of its topical graph that topics and conversations encircling the largest component directly relate to the topic of Black Lives Matter.

Sentence

Does Gender Matter? Towards Fairness in Dialogue Systems

1 code implementation COLING 2020 Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang

In particular, we construct a benchmark dataset and propose quantitative measures to understand fairness in dialogue models.

Fairness

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