AI governance software comprises a suite of tools and frameworks designed to oversee, regulate, and manage the responsible development, deployment, and operation of AI systems. Its primary goal is to ensure that AI technologies remain ethical, transparent, secure, and compliant with applicable legal and regulatory standards. This software is commonly used by data science and AI development teams, legal and compliance departments, IT, and security professionals. It supports key processes such as data collection and model deployment while promoting transparency and accountability. By automating compliance checks and continuously monitoring for potential violations, it helps reduce the risk of regulatory infractions and legal exposure. A core function of AI governance software is to generate audit trails, making it easier to demonstrate compliance during internal assessments or external regulatory audits. This ensures that AI systems stay aligned with evolving standards and requirements. Key features typically include bias detection, risk management, model explainability, compliance monitoring, and AI lifecycle management. These capabilities empower organizations to identify and mitigate risks, enforce accountability, and maintain control over their AI systems from development through deployment and beyond. While AI governance platforms may overlap with MLOps tools or data privacy management software, their distinct value lies in their strong focus on the ethical, legal, and regulatory dimensions of artificial intelligence.
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