CORAA
ಲಾಗಿನ್ಉಚಿತ ಪ್ರಯೋಗವನ್ನು ಪ್ರಾರಂಭಿಸಿ
CORAA ವಿಶ್ವವಿದ್ಯಾಲಯ · ಪರಿಕರ· विद्यालय

ನಿಮ್ಮ ಕ್ಲೈಂಟ್ AI ಬಳಸಿದಾಗ, what should you ಆಡಿಟ್?

Map AI ಅಪಾಯಗಳು to SA 315 ಅಪಾಯ-assessment ಕಾರ್ಯವಿಧಾನಗಳು. 15 questions across 5 categories, model, data, operational, ಅನುಸರಣೆ, financial statement impact.

ಕ್ಲೈಂಟ್ AI ಪ್ರೊಫೈಲ್
ಅಪಾಯ assessment, 15 questions
Rate each ಅಪಾಯ factor: 1 (Low ಅಪಾಯ) to 5 (High ಅಪಾಯ)
Model Risk
ಸರಾಸರಿ 3/5
1. Is the AI model a black box (unexplainable)?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
2. How frequently is the model retrained/updated?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
3. Has the model been independently validated?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
Data Risk
ಸರಾಸರಿ 3/5
1. Is the training data biased or unrepresentative?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
2. Are data inputs validated before feeding the model?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
3. Is there proper data governance (lineage, quality, access)?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
Operational Risk
ಸರಾಸರಿ 3/5
1. Is there human oversight of AI decisions?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
2. Are there fallback procedures if the AI system fails?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
3. Is there monitoring for model drift or degradation?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
Compliance & Regulatory Risk
ಸರಾಸರಿ 3/5
1. Does the AI system comply with applicable regulations (RBI, SEBI, etc.)?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
2. Is there documentation of the AI system's design and operation?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
3. Are there ethical guidelines for AI use?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
Financial Statement Impact
ಸರಾಸರಿ 3/5
1. Could AI errors materially affect financial statements?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
2. Are AI-derived estimates (provisions, valuations) material?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
3. Is the AI system part of the client's internal controls?3/5
Low ಅಪಾಯHigh ಅಪಾಯ
Overall ಅಪಾಯ score
3
5.0 ರಲ್ಲಿ
ಅಪಾಯ rating
High
High-ಅಪಾಯ categories
0
ಅಪಾಯ heat map
Model Risk3/5 · High
Data Risk3/5 · High
Operational Risk3/5 · High
Compliance & Regulatory Risk3/5 · High
Financial Statement Impact3/5 · High
ಕಡಿಮೆ (≤2)ಮಧ್ಯಮ (2–3.5)ಹೆಚ್ಚು (>3.5)
Recommended ಆಡಿಟ್ ಕಾರ್ಯವಿಧಾನಗಳು
Model RiskHigh ಅಪಾಯ
  • Test model outputs against manual calculations
  • Review model validation reports and methodology
  • Assess explainability documentation and audit trail
Data RiskHigh ಅಪಾಯ
  • Test input controls and data validation procedures
  • Verify data completeness and representativeness
  • Review data governance framework and access controls
Operational RiskHigh ಅಪಾಯ
  • Test override controls and human review procedures
  • Review incident logs and business continuity plans
  • Evaluate model monitoring and alerting mechanisms
Compliance & Regulatory RiskHigh ಅಪಾಯ
  • Review regulatory filings and compliance certifications
  • Test compliance monitoring procedures
  • Assess ethical AI policy and governance framework
Financial Statement ImpactHigh ಅಪಾಯ
  • Perform substantive procedures on AI-generated amounts
  • Test reasonableness of AI-derived accounting estimates
  • Evaluate design and implementation of AI-related controls
SA 315 ಅಪಾಯ-assessment mapping
Model Risk
Understand the entity's AI models as part of the information system (SA 315.18-19)
Data Risk
Evaluate IT general controls over data integrity (SA 315.21)
Operational Risk
Assess control activities over AI operations (SA 315.26)
Compliance & Regulatory Risk
Identify regulatory compliance risks affecting financial reporting (SA 315.11)
Financial Statement Impact
Identify and assess risks of material misstatement from AI systems (SA 315.25-30)
Key insight, ಲೆಕ್ಕಪರಿಶೋಧನೆ AI systems
High ಅಪಾಯ. Significantly expand substantive ಕಾರ್ಯವಿಧಾನಗಳು. Consider engaging an IT-ಆಡಿಟ್ specialist. Test AI outputs against independent calculations.
ಆಡಿಟ್ AI-ಚಾಲಿತ clients

Need help ಲೆಕ್ಕಪರಿಶೋಧನೆ AI? - ಸ್ವಯಂಚಾಲಿತ ಪರೀಕ್ಷೆ ಮತ್ತು ದಾಖಲಾತಿ.

CORAA helps ಆಡಿಟರ್‌ಗಳು navigate AI ಅಪಾಯಗಳು with continuous monitoring and SA 315 mapped ಕಾರ್ಯವಿಧಾನಗಳು.

ಮುಂದೆ

Run defensible ಕಾರ್ಯವಿಧಾನಗಳು across the ಎಂಗೇಜ್‌ಮೆಂಟ್.

ಉಚಿತ ಪ್ರಯೋಗವನ್ನು ಪ್ರಾರಂಭಿಸಿCORAA ವಿಶ್ವವಿದ್ಯಾಲಯವನ್ನು ಅನ್ವೇಷಿಸಿ