The rapid advance of AI has accelerated the transformation of organizations, especially in the digital field, making innovation a necessity for survival in the market. The sheer volume of applications that are emerging all the time, such as generative AI, are stimulating transformations in workflows and even business models in order to ensure competitiveness against competitors. Avoiding this scenario is no longer an option, making innovation the company's daily routine. Whether in the operational field or in products and services, the introduction of innovations changes the company's legal exposure. Doing so without proper planning can substantially increase the company's legal risk, putting its business at risk. The healthy incorporation of innovation starts with the establishment of risk control assessment mechanisms for strategic choices from the departmental level to the corporate design, without ignoring the social and environmental externalities as well as the repercussions for public opinion. The challenge of this endeavor, which can be translated as a change in institutional culture that reaches all its employees and agents, is to implement an appropriate governance model, guided by ethical standards in terms of minimizing risks under the law. 
The aim of this course is to introduce non-law students to the normative map of governance that must be taken into account when designing a corporate innovation risk management strategy using the risk-based regulation model.