In a recent seminar organized by the Queen’s School of Computing as part of The Social, Ethical, and Legal Issues in Computing Lecture Series, Rohan Khan, a Med-i CREATE doctoral student, talked about the intricate realm of algorithmic bias and fairness. Her presentation, titled “Algorithmic Bias and Fairness: Exploring Historical Context, Methodological Shortcomings, and Future Challenges,” looked closely at important parts of this pressing issue.
