The Ethics of AI and Bias, Fairness, and Discrimination

Authors

• Zachary Davis, St. John Fisher University

Document Type

Poster Presentation

Publication Date

4-17-2026

Keywords

fsc2026

Abstract

The issues of bias span more than just articles and blog posts pertaining to sensitive topics. AI’s tendency to lean towards certain ideologies is a byproduct of inequities that are systemic in training data; this creates an issue where biased decisions based on algorithms can influence the opinions of the general public and people in specialized fields that have the power to alter lives. This affects many different fields like healthcare, radiology, job searching, and politics by being biased against age, gender, race, ethnicity, and dialect.

Comments

Poster presented at the 2026 Fisher Showcase, St. John Fisher University, April 17, 2026.

Publication Information

Davis, Zachary, "The Ethics of AI and Bias, Fairness, and Discrimination" (2026). Fisher Showcase 2026. Paper 94.
https://fisherpub.sjf.edu/fsc2026/94

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