Fostering Research Integrity Guest Speaker Series – Prof. Irene Díaz: Ethics Gender Bias and Artificial Intelligence: Challenges & Opportunities

Authors

S. Irene Díaz Rodríguez, Catedrática de Ciencia de la Computación e Inteligencia Artificial Departamento de Informática, Universidad de Oviedo

Document Type

Lecture

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

CIT Disciplines

Library science

Disciplines

Library and Information Science

Publication Details

MTU's Fostering Research Integrity Guest Speaker Series – Prof. Irene Diaz's lecture.

Abstract

Title: Ethics, Gender Bias, and Artificial Intelligence: Challenges and Opportunities

Artificial Intelligence (AI) is shaping decision-making processes across domains, yet its development is fraught with ethical concerns, particularly regarding embedded biases. Among these, gender bias remains a pervasive issue, often leading to inequitable outcomes and reinforcing societal stereotypes. This presentation explores the ethical implications of AI, focusing on how gender bias manifests in algorithms and datasets. The session aims to highlight actionable strategies for mitigating bias, fostering inclusive AI systems with the objective of harnessing AI’s potential while promoting fairness and equality.

Recommended Citation

Díaz Rodríguez, S. Irene, "Fostering Research Integrity Guest Speaker Series – Prof. Irene Díaz: Ethics Gender Bias and Artificial Intelligence: Challenges & Opportunities" (2024). Research Integrity and Compliance Officer Publications [online].
Available at: https://sword.cit.ie/ricopub/20