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Glossario IA

Il dizionario completo dell'Intelligenza Artificiale

162
categorie
2.032
sottocategorie
23.060
termini
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AI Act

Harmonized European regulation establishing a legal framework for artificial intelligence, classifying AI systems according to their risk levels and imposing proportional obligations.

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Compliant Algorithmic Audit

Systematic and independent examination of AI systems in accordance with established regulatory standards to verify their ethical and legal compliance.

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AI Regulatory Compliance

Set of processes and measures ensuring that AI systems comply with all applicable laws, regulations, and standards in their jurisdiction of deployment.

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Algorithmic Impact Statement

Formal document detailing the potential risks, mitigation measures, and societal impacts of an AI system before its deployment into production.

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Ethics by Design

Methodological approach integrating ethical considerations from the initial design of AI systems, rather than as a retroactive fix.

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AI Data Governance

Organizational framework defining policies, procedures, and responsibilities for managing data used in AI systems according to ethical principles.

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ISO/IEC 23894 Standards

International standard providing a risk management framework for artificial intelligence, establishing guidelines for responsible governance.

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OECD AI Principles

Intergovernmental recommendations establishing five fundamental principles for an AI that is inclusive, equitable, and respectful of human rights and democratic values.

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AI Regulatory Sandbox

Controlled environment allowing innovators to test innovative AI systems under regulatory supervision, with temporary relaxation of certain constraints.

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Enhanced Responsibility

Principle extending the responsibility of AI system developers and deployers throughout the product lifecycle, including post-deployment impacts.

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Algorithmic Supervision

Mechanisms for continuous monitoring and independent control of AI systems in production to detect and correct ethical or performance drifts.

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Explainable Transparency

Obligation to provide understandable explanations about the functioning and decisions of AI systems to concerned stakeholders.

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Third-Party Compliance Validation

Independent evaluation process by an accredited body confirming the compliance of an AI system with applicable regulatory requirements.

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AI Controlled Test Zone

Secure and isolated space allowing experimentation of potentially high-risk AI systems under close supervision before widespread deployment.

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