use case
Sectoral application of AI to deliver public or private value.
How the laws define this
Both frameworks agree that a use case is a defined application or implementation scenario in which AI systems are employed. They diverge, however, in their scope and functional purpose. The Strategi Nasional Kecerdasan Artifisial Indonesia (National Strategy for Artificial Intelligence) 2020–2045 frames a use case around sectoral applications—like health, education, mobility, or agriculture—aimed at addressing operational or policy objectives and guiding pilot selection, evaluation, and scaling. Conversely, the Draft ETDA Notification regarding AI Risk Assessment defines a use case by operational elements, specifying how, where, and by whom an AI system is used, the tasks performed, environmental conditions, and affected stakeholder groups. This detailed focus serves to structure risk assessments, which may be conducted per use-case or through shared profiles across similar uses.
Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.
How jurisdictions differ
What is distinctive in each definition, binding law in force first.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| Singapore | Guidelines on Artificial Intelligence Risk Management | Awaiting Entry | Adds that the use case determines relevant risks, controls, and oversight level under non-binding guidelines for financial institutions. |
| Thailand | Draft ETDA Notification regarding AI Risk Assessment | Draft | Adds details on tasks performed, environmental conditions, affected stakeholders, and option for risk assessments by shared profiles across similar uses. |
| Indonesia | National Strategy for Artificial Intelligence 2020–2045 | Adopted | Limits to sectoral scenarios like health or education to guide pilot selection, evaluation, and scaling in national strategy. |
What it triggers
- Under Singapore Guidelines on Artificial Intelligence Risk Management, it describes the relevant risks, controls, and level of oversight.source
- In the Thailand Draft ETDA Notification regarding AI Risk Assessment, risk assessments may be performed per use-case or by shared profiles across similar uses.source
- In Indonesia’s National Strategy for Artificial Intelligence 2020–2045, it guides pilot selection, evaluation and scaling.source
Definitions (3)
A defined sectoral application or implementation scenario (e.g., health, education, mobility, agriculture) in which AI systems are employed to address specific operational or policy objectives and to guide pilot selection, evaluation and scaling.
A defined application scenario describing how, where, and by whom an AI system is used, including tasks performed, environmental conditions, and affected stakeholder groups; risk assessments may be performed per use‑case or by shared profiles across similar uses.
A use case is the real-world context in which a model or system is deployed. It determines the relevant risks, controls, and level of oversight required under the Guidelines.
Not to be confused with
Uses means specific sectoral applications of an AI system, whereas use case encompasses the full scenario including risks or objectives.
Questions and answers
What determines risks and oversight for AI in Singapore finance?
The real-world context where a model or system is deployed, known as the use case, determines relevant risks, controls, and oversight level. This applies under MAS guidelines for financial institutions.
How are AI risk assessments done in Thailand's draft notification?
Risk assessments may be performed per use-case or by shared profiles across similar uses. A use case describes how, where, and by whom the AI is used, including tasks, conditions, and stakeholders.
What is an AI use case in Indonesia's national strategy?
It is a defined sectoral application like health or education to address objectives. It guides pilot selection, evaluation, and scaling.
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