AI ethics.

IBM. (n.d.). AI ethics. https://www.ibm.com/topics/ai-ethics

This IBM resource defines the core principles of Artificial Intelligence ethics, focusing on the responsible development and deployment of machine learning technologies. IBM outlines a multi-disciplinary approach to ethics that includes trust, transparency, and accountability as fundamental pillars. The document explains how Artificial Intelligence systems must be designed to avoid bias and ensure fairness, particularly when impacting human lives. It provides a detailed look at IBM’s own ethical guidelines, which emphasize that the purpose of Artificial Intelligence is to augment human intelligence rather than replace it. Key topics covered include data ownership, the security of Artificial Intelligence systems against adversarial attacks, and the necessity of human oversight in automated processes. The resource also highlights the importance of global collaboration and standards to ensure that Artificial Intelligence benefits society as a whole. As a leader in the technology sector, IBM’s framework offers a roadmap for other organizations to establish their own ethical benchmarks and maintain integrity in their digital transformation efforts.