AI Control: Risk Management

In a world where artificial intelligence (AI) is constantly evolving, the need to control its risks becomes increasingly pressing.

From ethical challenges to malicious use, regulation has become a priority in the European Union with the introduction of the AI Act. This legislation is designed to ensure that AI is used safely and responsibly, taking into account the interests of both individuals and businesses.

Artificial Intelligence. AI.

This regulation is based on risk analysis, classifying AI into different risk levels and establishing measures to address them. Adopting this risk-based approach ensures that most efforts are focused on assessing and mitigating high-risk AI applications, as opposed to low-risk ones. This allows for balancing the risk of AI applications without hindering innovation and efficiency. Furthermore, it ensures that the AI Act can be implemented and that the interests and privacy of individuals are protected.

To successfully implement the regulation, it is necessary to have a risk management framework that supports the regulation and enables the identification, control, and reduction of risks. The influence of the United States in this area is undeniable, as similar standards are being used.

It is essential for organizations and companies providing AI tools or adopting AI in their processes to conduct an impact assessment to identify the risk of their initiatives and apply an appropriate risk management approach.

By adopting these measures, we not only protect individual rights but also promote collaboration in the industry and open new doors for technological advancement. In a world driven by innovation, AI control is essential for a safe and prosperous digital future.