BiasRV: uncovering biased sentiment predictions at runtime

• Main Authors: YANG, Zhou, ASYROFI, Muhammad Hilmi, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Sentiment analysis; Ethical AI; Fairness; Runtime verification; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6671; https://ink.library.smu.edu.sg/context/sis_research/article/7674/viewcontent/BiasRV_uncovering_biased_sentiment_predictions_at_runtime.pdf
• Institution: Singapore Management University

Sentiment analysis (SA) systems, though widely applied in many domains, have been demonstrated to produce biased results. Some research works have been done in automatically generating test cases to reveal unfairness in SA systems, but the community still lacks tools that can monitor and uncover bia...