AI Risk Assessments
A structured AI risk assessment identifies legal, regulatory, and ethical exposures before a product ships, and before a regulator does it for you.
Deploying an AI system without a prior risk assessment is increasingly a regulatory violation as well as a business risk. The EU AI Act mandates fundamental rights impact assessments for high-risk systems and requires demonstrable risk management processes to be in place before a system is placed on the market. Beyond hard legal requirements, investors, enterprise procurement teams, and insurance underwriters now routinely ask for evidence of AI risk governance as a condition of doing business.
GlobalB Law conducts AI risk assessments that combine legal analysis with a structured review of the system's design, training data, intended use cases, and deployment context. We assess exposure across multiple dimensions: regulatory classification under the EU AI Act and analogous frameworks, data-protection risk under GDPR and KVKK, bias and discrimination liability, intellectual property questions over training data, and contractual risk allocation in the supply chain from model provider through deployer to end user. The output is a written risk register and a prioritised remediation roadmap, not a checkbox exercise.
For companies with AI products that touch the Turkish market, EU users, or US customers simultaneously, we run assessments calibrated to all three regimes so the findings are actionable across jurisdictions without duplication.
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常见问题
常见问题解答
Is an AI risk assessment legally mandatory or just best practice?
For high-risk AI systems under the EU AI Act, a documented risk management system and a fundamental rights impact assessment are mandatory before market placement. For other systems or jurisdictions, they are strongly recommended because they provide a structured defence against regulatory scrutiny, investor due diligence, and litigation.
How long does an AI risk assessment take?
A focused assessment for a single AI feature or model typically takes two to four weeks, depending on the complexity of the system and the availability of technical documentation. A full-stack assessment covering multiple AI components across a product suite takes longer and is usually structured in phases.
Do we need a new assessment each time we update our AI model?
Material changes to an AI system's purpose, training data, or risk profile trigger a reassessment obligation under the AI Act. We recommend building change-assessment triggers into your internal governance process so that updates are reviewed before deployment rather than after a regulatory enquiry.
Can the risk assessment be used to satisfy investor due diligence requests?
Yes. Our risk assessment reports are structured to be readable by both technical reviewers and legal counsel. They are routinely used in venture and private equity due diligence, enterprise procurement processes, and regulatory submissions.
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