The ethics of AI: addressing bias, privacy, and accountability in machine learning.
By Patel, M.
Patel, M. (2024, February 29). The ethics of AI: addressing bias, privacy, and accountability in machine learning. CloudThat.
This blog post addresses the critical ethical considerations surrounding the deployment of Artificial Intelligence and machine learning technologies. Patel explores issues of algorithmic bias and the urgent need for transparency in "black box" models. The author emphasizes the importance of data privacy and the concept of accountability. By advocating for "Ethics by Design," the source provides a framework for leaders to incorporate ethical checkpoints throughout the AI lifecycle.