BiasFinder: Metamorphic test generation to uncover bias for sentiment analysis systems

• Main Authors: ASYROFI, Muhammad Hilmi, YANG, Zhou, IMAM NUR BANI YUSUF, KANG, Hong Jin, Ferdian, Thung, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: sentiment analysis; test case generation; metamorphic testing; bias; fairness bug; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7611; https://ink.library.smu.edu.sg/context/sis_research/article/8614/viewcontent/2102.01859.pdf
• Institution: Singapore Management University

Artificial intelligence systems, such as Sentiment Analysis (SA) systems, typically learn from large amounts of data that may reflect human bias. Consequently, such systems may exhibit unintended demographic bias against specific characteristics (e.g., gender, occupation, country-of-origin, etc.). S...