Creating a comprehensive riskMatrix requires significant effort and specialized knowledge of the AI Act, GDPR$,$ and HLEG. It is necessary to analyze in detail all possible combinations and identify the relevant risks, mitigation measures, and references.Domain of Application: TAI Principle for Testing:

Privacy and Data Governance

Privacy and Data Governance

Human Agency and Oversight

Technical Robustness and Safety

Transparency

Diversity and Fairness

Societal and Environmental Well$-$being

Accountability TAI Self$-$

Assessment Tool

Al System Lifecycle Phase:

Planning Phase

TAI Principle for Testing:

Privacy and Data Governance

Domain of Application:

Law Enforcement

Law Enforcement

Healthcare

Education

Critical Infrastructure

Type of AI System:

e$.$g$.,$ Predictive Models, Facial Recognit

Type of Input Data:

Video streams from public camer;

Type of AI System:

e$.$g$.,$ Predictive Models, Facial Recognit

Intended Use:

Describe the intended use

Assess Risks Example:

Let's say we want to define the data for the combination:

Lifecycle Phase: Operation

TAI Principle: Privacy and Data Governance

Domain of Application: Law Enforcement

Type of Input Data: Biometric data

Then, the information I need could be:

Risks:

Privacy violation due to unauthorized access to biometric data.

Use of data for discriminatory purposes.

Difficulty in anonymizing or deleting biometric data.

Mitigation Measures:

Implement strong security measures to protect data.

Use differential privacy techniques to protect the privacy of individuals.

Transparent policies regarding the collection, use, and storage of data.

Relevant References:

AI Act: Article $9($High$-$risk AI systems$)$

GDPR: Article $9($Processing of special categories of personal data$)$

HLEG: Principle of privacy and data governance