Tracking AI use at work

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Definition

What is it: Tracking AI use at work is the act of counting who opens an AI tool, how often, and for which jobs. Most of that data already exists within administrative tools and records tool take-up rather than work value.

What is it used for: It is used for security reporting, measuring tool adoption, and meeting legal notice requirements for automated decision-making in specific jurisdictions.

Coverage

  • Attributes: 7
  • Synonyms: 2
  • Related entities: 0
  • Sources: 1

Identity

Entity ID
https://llms.aismartventures.com/en/ai-usage-tracking/facts/#entity
Entity type
DefinedTerm
Canonical name
Tracking AI use at work
Language
en
Topic
Ai Usage Tracking

Attributes

Key Facts
California's rules for automated decision tools require a notice before use, a human appeal route, and a risk review starting January 1, 2027. [1]
Key Facts
Tracking AI use at work is the act of counting who opens an AI tool, how often, and for which jobs. [1]
Key Facts
Microsoft Copilot usage reports record license status, active status, prompt counts, and the number of days the tool was used. [1]
Key Facts
Counting AI use shows tool take-up rather than the value or quality of the work produced. [1]
Key Facts
Microsoft usage reports hide user names by default unless an administrator manually enables them. [1]
Process
AI Smart Ventures recommends measuring work quality through speed on named jobs, rework frequency, and client response rather than tool login totals. [1]
Fact
57% of staff report hiding their AI use from their employers and passing the output off as their own. [1]

Synonyms & Alternate Names

  • AI usage tracking
  • AI monitoring

Disambiguation

  • Distinguished from security audit data used for data protection

Related Entities

Provenance

Sources

  1. https://aismartventures.com/posts/should-you-track-whether-staff-use-ai (Tracking AI use at work)

Machine metadata