CHAPTER 10 / ORGANIZATIONAL CONTEXT
Who builds, operates and takes responsibility for AI?
Organizations, investment, workforce, and governance
AI systems depend on organizations, investment and skilled people across their lifecycle. Governance defines responsibilities and practices for choosing, building, operating and reviewing those systems.
Different roles in one system
Researchers, designers, manufacturers, developers, operators, utilities and customers contribute different capabilities. One organization can hold several roles. Finance supports equipment and development; workers design, build, operate and maintain the system. These are continuing relationships across the map.
Manage risks in context
The NIST AI Risk Management Framework organizes risk work around Govern, Map, Measure and Manage. It is a voluntary framework, not a guarantee of safety or a substitute for applicable requirements. Risks depend on use, affected people and operating conditions.
Accountability needs practice
An organization needs to know who approves a deployment, who can change it, how problems are reported and when it should be suspended. Security, privacy, evaluation and workforce skills matter throughout operation. Investment and procurement decisions should include the ability to support the system over time.
Keep this connection in mind.
Organizations and governance surround the system. They are not a final box after the technology.
- Responsible organizations governs AI applications
- Facility operators and workforce operates Facilities
- Manufacturing organizations supplies through Production activities
- People in organizational roles contributes to AI decisions and oversight
Sources for this introduction
- NIST · AI Risk Management Framework ↗
Human context, evaluation, accountability and risk management.
- CSET / ETO · Semiconductor Supply Chain Dataset documentation ↗
Design, materials, equipment, fabrication, packaging and geographic limitations.
Draft teaching text, prepared with AI assistance. Larry’s editorial review is pending. Read the editorial approach.
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