From the course: AI Governance for Organizations: Applying ISO/IEC 38507:2022
Join today to access over 25,300 courses taught by industry experts.
Maintaining accountability when introducing AI: Part 1 (Clause 4.3)
From the course: AI Governance for Organizations: Applying ISO/IEC 38507:2022
Maintaining accountability when introducing AI: Part 1 (Clause 4.3)
- For an organization's governing body to accomplish objectives, a significant degree of responsibility and roles must be delegated to reach those goals. One thing that can never be delegated is accountability. This means that they are accountable for decisions made at every level of the organization. This is the first of two videos in which we will focus on how accountability manifest in AI governance. While AI systems are designed to imitate human rational intelligence, ISO 38507 cautions governing body members from anthropomorphizing AI systems and attributing to them characteristics, such as actual thinking, emoting judging, or moralizing. This helps to understand the level of controls and actions that must be taken to ensure expected results from the AI system. The governing body must understand that misactions and lack of due care and due diligence, oversight enforcement, and training, can increase accountability risk. When I hear the word account within accountability, I think…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.