
GenAiA · About Us
Artificial intelligence is already defining competitiveness, regulation, and society.
We provide input to decision-making and contribute to defining the roadmap for artificial intelligence.
We are GenAiA – Generative AI Association, an independent, non-profit association created in 2023 to bring together companies and experts around the development of generative artificial intelligence.
From that origin, our current capacity for analysis and dialogue integrates four dimensions: technology, business, society, and institutions. We apply this perspective to the business, regulatory, economic, and social transformations that artificial intelligence is bringing about, with Spain and Europe as our priority areas of action.
Our institutional independence and technological agnosticism allow us to contrast perspectives and build knowledge from experience, evidence and debate, without subordination to suppliers or particular interests.
We connect technological evolution with its business, institutional, and social implications to provide insight into the conversations and decisions that will define its development.

Vision and mission
Vision
To contribute to the development of artificial intelligence that combines innovation, competitiveness, knowledge and responsibility, generating value for companies, institutions and society.
Mission
To generate, articulate, and share expert knowledge so that businesses, institutions, and society can understand, anticipate, and leverage the transformations brought about by artificial intelligence. We promote its development and application in an ethical and sustainable manner, geared towards economic and social growth.
Foundational pillars
The foundations on which we built GenAiA
Ten pillars that define how we understand the partnership and what role we want to play in the evolution of artificial intelligence.

1. Talent and experience at the heart of everything we do
The knowledge and experience of our experts and organizations are the primary source of authority for GenAiA.

2. Collaborative work and a creative environment
We connect different disciplines and perspectives to compare knowledge and build new answers.

3. To be a hub of knowledge and research in Generative AI
We promote research and our own knowledge about generative AI and the transformations it is causing in the artificial intelligence ecosystem.

4. Create and maintain ethical standards in Generative AI
We develop frameworks, criteria, recommendations, best practices, and assessment tools that help shift responsibility to the actual application of technology.

5. Create and promote cross-sectoral alliances
We connect business, technology, research, and institutions to address problems that no single discipline can solve in isolation.

6. Develop educational initiatives
We promote knowledge and capabilities that enable individuals and organizations to understand and address the transformation of AI.

7. To be sustainable and economically self-sufficient
We work towards a sustainable association capable of preserving its continuity, capacity to act and independence.

8. Give visibility to startups and innovative projects
We open our ecosystem to those who develop new solutions and capabilities around artificial intelligence.

9. Represent the interests of the technology ecosystem
From an independent and expert perspective, we convey the views and needs of the European and Latin American technological ecosystem.

10. Promote diversity, employability and female leadership
We promote more diverse participation in the development, application and decision-making around artificial intelligence, with special attention to employability and female leadership.
Values and principles of action
Independence to think. Collaboration to move forward.
Independence
We build our criteria from institutional independence and technological agnosticism, with autonomy from suppliers, organizations, and particular interests.
Collaboration
We integrate technical, business, academic, institutional, and social knowledge to enrich our analytical capacity.
Agreement
We promote a rigorous and open debate, capable of contrasting different positions and building shared criteria.
Innovation
We defend the potential of technology to generate competitiveness and progress through knowledge and responsibility.
Commitment to society
We evaluate technological progress also by its consequences on people, rights, employment, education, and the model of society.
Organizational structure
An organization built on knowledge and participation.
We bring together organizations and professionals with direct experience in the technological, business, regulatory, and social challenges of AI. Through their participation in research, think tanks, content creation, and initiatives, this knowledge is transformed into a collective capacity for analysis and action.
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