Study goals
To analyze how principles related to AI Governance can be a catalyst for responsible innovation in organizations , aligning technological development with ethical values to generate competitive advantage and stakeholder trust.
Relevance / originality
The study addresses a literature gap that treats governance and innovation in isolation. It explicitly connects AI governance principles to the promotion of responsible innovation, demonstrating its strategic value beyond mere regulatory compliance.
Methodology / approach
A theoretical-conceptual study developed through a Systematic Literature Review (SLR), based on the PRISMA protocol. Twenty-four articles from the Scopus, ScienceDirect, and Web of Science databases, published between 2020 and 2024, were analyzed.
Main results
AI Governance is not a barrier, but a strategic foundation that fosters responsible entrepreneurship. It transforms ethical obligations into assets, strengthens trust, and drives the development of robust, fair, and more competitive solutions.
Theoretical / methodological contributions
The work offers a theoretical synthesis that explicitly connects AI governance practices to the promotion of innovation, filling a gap in the literature that generally addresses these topics in isolation or focused only on compliance.
Social / management contributions
It provides startups and companies with a strategic argument for investing in governance as a distinctive organizational capability and a driver of competitive advantage, crucial for navigating an increasingly complex and demanding technological and regulatory environment.