AI Governance

Artificial Intelligence is redefining the way companies operate, make decisions, and innovate. However, its application brings challenges that go beyond technology, requiring clear guidelines to ensure transparency, security, and accountability. AI governance is the set of policies and practices that regulate its use, development, and acquisition, helping organizations mitigate risks and maximize its potential.

In use, governance establishes boundaries and best practices to prevent bias, ensure data privacy, and avoid negative impacts on users and stakeholders. In development, besides requiring transparency and ethical standards, it also mandates compliance with international regulations. Companies creating AI solutions must pay attention to laws from other countries, such as the AI Act of the European Union and guidelines from the United States, to ensure their products can be marketed globally without legal barriers. In acquisition, governance guides companies in selecting reliable solutions, evaluating not only technical performance but also regulatory compliance and social impact.

Adopting effective governance not only reduces risks but also strengthens trust in AI, making it a sustainable and responsible competitive advantage.