Create a comprehensive risk register for a proprietary algorithm audit engagement that evaluates IP exposure, data privacy compliance gaps, and model accuracy litigation risks

Generate create a comprehensive risk register for a proprietary algorithm audit engagement that evaluates ip exposure, data privacy compliance gaps, and model accuracy litigation risks for Other Professional, Scientific, and Technical Services industry

Other Professional, Scientific, and Technical Services

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Allowed: PDF, DOCX, TXT, JSON, PY, IPYNB, XLSX, CSV, ZIP

Max size: 100MB

Upload all client-provided documents including algorithm specifications, training datasets, source code snippets, model documentation, and previous audit reports
Select the primary algorithm category and its business application context to determine appropriate risk assessment frameworks
Specify applicable regulatory jurisdictions and compliance requirements for the algorithm audit
Define acceptable risk thresholds for key stakeholders: client legal counsel (litigation exposure), data protection officer (privacy fines), CTO (model accuracy degradation), and business units (operational disruption)
Indicate the algorithm's development phase to assess IP vulnerability exposure periods and prior art risks
Classify the training and operational data types to determine privacy compliance requirements and breach notification obligations
Specify the audit scope boundaries: modules/functions included, geographical jurisdictions covered, algorithmic decisions examined, and practical limitations or exclusions
Select the desired risk register format and delivery method for different stakeholder audiences
Define measurable success criteria for the audit: specific accuracy thresholds, compliance score targets, timeline milestones, and stakeholder approval gates
Provide any special considerations, unique client constraints, industry-specific requirements, or custom risk assessment dimensions that go beyond standard frameworks