Italy's AI Act framework: What Legislative Decree No. 179/2026 means for organizations

With Legislative Decree No. 179/2026, Italy’s framework for the EU AI Act is taking concrete shape. The legislation aims to regulate the use of artificial intelligence (AI) in organizations and ensure that it meets ethical and legal standards. This article examines the specific requirements of the decree and their impact on organizations.

Technical requirements and compliance

Legislative Decree No. 179/2026 requires organizations to implement technical mechanisms that ensure transparency, security, and accountability. A central aspect is the introduction of audit trails that document all decision processes of AI systems. This enables retrospective review and ensures that AI systems do not make discriminatory or unethical decisions.

An example of implementing such an audit trail could look like this:

import logging

class AISystem:
    def __init__(self):
        self.logger = logging.getLogger('AISystem')
        self.logger.setLevel(logging.INFO)
        handler = logging.FileHandler('ai_audit_trail.log')
        formatter = logging.Formatter('%(asctime)s - %(message)s')
        handler.setFormatter(formatter)
        self.logger.addHandler(handler)

    def make_decision(self, input_data):
        decision = self._process_input(input_data)
        self.logger.info(f'Decision made: {decision} based on input: {input_data}')
        return decision

    def _process_input(self, input_data):
        # Simulated decision logic
        return 'Approved' if input_data['value'] > 50 else 'Rejected'

This simple example shows how AI decisions can be logged to ensure transparency and traceability.

Risk management and control mechanisms

Another important aspect of the decree is the introduction of risk management processes. Organizations must conduct risk assessments to identify and minimize potential hazards from AI systems. This includes regularly reviewing AI systems for compliance with legal requirements and implementing control mechanisms to prevent undesirable effects.

One possible risk assessment method is the use of risk matrices that evaluate the likelihood and impact of various risks. These assessments should be updated regularly to account for new threats and changes in the operating environment.

Conclusion

Legislative Decree No. 179/2026 represents a significant development within the EU AI Act framework and has far-reaching implications for organizations that use AI systems. By implementing technical mechanisms such as audit trails and risk management processes, organizations can ensure that they meet legal requirements and uphold ethical standards. Adapting to these new rules in time is essential to benefit from AI technology without violating applicable law.