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, Rina 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.
Rina Khan Talks about Algorithmic Bias and Fairness
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