Artificial intelligence (AI) and machine learning (ML) are revolutionizing business, but they are also creating an unprecedented legal and ethical frontier, particularly under Georgia's "Law on Personal Data Protection." When critical decisions are made inside an algorithmic "black box," the issues of automated decision-making, algorithmic bias, and transparency become critical. Deploying an AI system without deep data protection guidance creates a direct risk of discriminatory outcomes, massive regulatory fines from the Personal Data Protection Service (PDPS), and a complete collapse of public trust. Legal Sandbox is your expert counsel for this new technological age; we ensure your innovations are not just powerful, but also ethical, fair, and lawful.
Our legal guidance on AI and Machine Learning Compliance in Georgia transforms these complex challenges into a manageable, strategic process. A standard Data Protection Impact Assessment is insufficient for AI. We conduct specialized AI-DPIAs that analyze the entire lifecycle: the lawfulness, fairness, and provenance of the training data, the logic of the algorithm, and the potential for embedded, discriminatory bias in the system's outputs. We assess the necessity and proportionality of the AI system to ensure its use is justified from the outset.
Georgian law grants specific and powerful rights to individuals regarding solely automated decisions. We build the essential compliance frameworks to manage these rights, including the "right to an explanation" of the logic used to reach a decision and the crucial "right to request human intervention." This ensures your AI does not operate with unchecked authority and that your customers have clear recourse, which is a key requirement for building trust.
Ultimately, our service goes beyond just policies and notices—we help you build a comprehensive AI Governance and Ethics framework. This involves drafting plain-language explanations of how your AI works, but more importantly, it establishes internal accountability for model validation, fairness checks, and ongoing monitoring. This approach insulates you from legal risk and creates a powerful competitive advantage, as customers and partners will always gravitate toward brands they trust to use technology responsibly.