AIM

AI Adoption AI-antagande. Pursuit by organizations to commit to investing in and deriving value from AI.

AI Governance AI-styrning. Oversight of AI performance, ethics, and compliance with policies and standards.

Bias Fördomar/Skevhet. Flaws in data or algorithms leading to unfair or prejudiced outcomes.

Data Architecture Dataarkitektur. Infrastructure for collecting, housing, and organizing an organization's data.

Due Diligence Tillbörlig aktsamhet. Persistent use of tools to achieve best outcomes while mitigating risks.

Explainable AI Förklarbar AI. The extent to which an AI system's mechanics can be explained in human terms.

KPI Nyckeltal. Quantifiable measures used to evaluate the success of projects or initiatives.

Maturity Model Mognadsmodell. A methodology to assess current capabilities and prioritize improvements.

Test & Evaluation (T&E) Test och utvärdering. Process of comparing AI systems against requirements to assess performance.

Transparency Transparens. Quality of AI that allows for ease of explanation and understanding.

Accountability Att någon personligen är ansvarig för AI:ns beslut

Maturity Hur avancerad och välfungerande en organisation är

Silos När olika avdelningar inte pratar eller delar data med varandra

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