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Baylor BU Ethics Initiative Research Groups AI and Data Ethics Presentations and Publications
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Presentations and Publications

Presentations

 

The Dual Faces of AI: Fostering Innovation while Fighting Misuse, Computer Science Colloquium

Dr. Pablo Rivas

Assistant Professor, Department of Computer Science

When: 11/15 (Fri), 12:20 – 1:10 pm

Where: Cashion 314 

Abstract:

This talk delves into the dual roles of artificial intelligence (AI) as a catalyst for innovation and a domain requiring stringent ethical oversight. We will examine how AI is revolutionizing fields like healthcare, cybersecurity, and agriculture through advanced technologies such as neural networks and multimodal systems. The discussion will emphasize the critical importance of developing these technologies in ways that consider ethical implications, particularly in relation to data privacy, algorithmic bias, and the transparency of automated systems.

The session is designed to inspire graduate students and faculty to engage deeply with the ethical dimensions of AI research, encouraging them to consider how their work can contribute to the development of AI that is both innovative and aligned with human values.

Computer Science Colloquium

 

 

September 17, 2024: Presbyterian Association for Science, Technology, and the Christian Faith: Online lecture, “Messing with our Minds? Neurotechnologies, AI, and Christian Ethics.” - Dr. Neil Messer

The Annual Members Meeting of the Presbyterian Association on Science, Technology, and the Christian Faith (PASTCF) will be virtual and will occur on September 17th at 7:30 pm EDT.  After a brief business meeting, our PASTCF Lecturer will be Dr. Neil Messer. 

 


 

Past Presentations

AI and Data Ethics

 


Publications

2024

Marcum, J. A. (2024a). The computer will see you now: Andrew S. Lea: Digitizing diagnosis: medicine, minds, and machines in twentieth-century America. Baltimore, MD: Johns Hopkins University Press, 2023, 256 pp, $54.95 HB. Metascience, 33(1), 103–105. https://doi.org/10.1007/s11016-023-00911-3 

Marcum, J. A. (2024b). The Conceptual Foundations of Systems Medicine. Nova Science Publishers. https://doi.org/10.52305/LUOY0764 

Marcum, J. A. (2024c). The Hippocratic Tradition and the Development of Medical Knowledge and Practice. In T. Schramme & M. Walker (Eds.), Handbook of the Philosophy of Medicine (pp. 1–19). Springer Netherlands. https://doi.org/10.1007/978-94-017-8706-2_82-2 

Sturmberg, J. P., & Marcum, J. A. (2024). From cause and effect to causes and effects. Journal of Evaluation in Clinical Practice, 30(2), 296–308. https://doi.org/10.1111/jep.13814 

Tonni Das Jui and Pablo Rivas, " Fairness issues, current approaches, and challenges in machine learning models ", in the International Journal of Machine Learning and Cybernetics, 1/2024. [ bib |  .pdf ]


Past Publications

AI and Data Ethics

 

Baylor Ethics Initiative

BaylorEthicsInitiative@baylor.edu
Baylor BU Ethics Initiative Research Groups AI and Data Ethics Presentations and Publications
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