AI Automation Glossary

    Clear definitions for AI, automation, and intelligent systems terminology

    A

    AI Automation

    The use of artificial intelligence to perform tasks that previously required human intervention. In business contexts, this typically involves automating repetitive workflows, document processing, and decision-making processes.

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    B

    Business Associate Agreement (BAA)

    A contract required under HIPAA between a covered entity and a business associate. Essential for AI systems that process healthcare data, ensuring that AI automation tools appropriately safeguard protected health information.

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    H

    HIPAA

    Health Insurance Portability and Accountability Act. Critical framework for healthcare AI implementations, governing how AI systems can process, store, and analyze medical information while maintaining patient privacy.

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    L

    Large Language Model (LLM)

    A type of artificial intelligence that uses deep learning and large datasets to understand, summarize, generate, and predict content. Examples include GPT, Claude, and Llama.

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    M

    Machine Learning (ML)

    A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed. ML algorithms build models based on training data to make predictions.

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    P

    PHI

    Protected Health Information. Any information about health status, provision of healthcare, or payment for healthcare that can be linked to a specific individual. AI systems handling PHI must meet strict security and privacy requirements.

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    Private LLM

    A large language model deployed within a controlled environment where data never leaves the organization's infrastructure. Used by healthcare, financial, and government organizations to use AI while maintaining data privacy.

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    R

    RAG

    Retrieval-Augmented Generation. A technique that combines retrieval of relevant documents with text generation, allowing AI systems to provide accurate responses based on specific data sources.

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    RPA

    Robotic Process Automation. Software technology that makes it easy to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software.

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    S

    SOC 2

    Service Organization Control 2. An auditing framework ensuring AI service providers securely manage data, increasingly important for organizations deploying AI automation and LLM systems.

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    SOC 2 Type I

    A SOC 2 report that evaluates the design of security controls at a specific point in time. Important for AI vendors to demonstrate proper security controls are in place for AI systems handling sensitive data.

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    SOC 2 Type II

    A SOC 2 report that evaluates both the design and operating effectiveness of security controls over a period of time, typically 6-12 months. The gold standard for AI service providers handling enterprise data.

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