AI Governance in Organizations: Unbreakable Rules for Innovation
Sergio Maria proposes a people-centric AI governance model, empowering teams to innovate securely and in alignment with values.
According to Sergio Maria, artificial intelligence governance in organizations should be simple and people-focused. He advocates for creating a few clear, unbreakable rules to empower teams to test and innovate securely, ensuring alignment with company values. Without clarity, AI will be used in an uncontrolled manner.
The rapid rise of artificial intelligence (AI) in organizations demands effective governance, but many models fail by creating complex and bureaucratic rules. According to Sergio Maria, a digital transformation and media specialist, the key is to simplify: focus on people and establish a set of clear, unbreakable principles.
Maria notes that extensive AI regulation manuals are often not absorbed by teams. His approach, presented at SIP Connect 2026, proposes defining about five major unbreakable rules. These are core values that no employee can disregard. Simplicity ensures everyone remembers and applies them daily.
This method empowers people to test and innovate. When developing a new AI application or process, the team checks if the initiative violates any of the established rules. If there's a violation, the proposal is discarded. If it complies, it can move forward, always with caution and responsibility. This fosters safe experimentation within organizational boundaries.
For Sergio Maria, this clarity and transparency are essential. Without them, AI will be used in any way, often unintentionally or harmfully. By openly discussing and defining boundaries, organizations ensure that the technology is employed more safely and beneficially, aligned with their values and objectives.
