® Manifesto

Towards a citizen-centered governance:
Quick response to civic needs through the responsible use of AI.

Nations need to move beyond economic growth and GDP. There is an urgent need to dramatically increase their focus on social prosperity. In this context, AI can be a disruptive tool to create new habits around data-informed decisions. The democratization of this data-driven culture can empower and generate abundance or can increase social gaps generating big social damages.


The use of data and AI presents several challenges that, if not addressed can generate deepen existing social inequalities and create new digital inequalities, such as:

  • Education and transparency in data sharing
    Not everyone has the same knowledge level to understand what data privacy and sharing is, and how the data we share is being used. Differences in digital education can broaden inequalities in data privacy, putting those with less digital knowledge in a weaker position. 

  • Limited data representativeness
    Biased datasets can generate biased results with a direct impact on citizens opportunities. 

  • Shared benefits
    The AI industry will have an impact on different stakeholders, from citizens to governments and also the natural environment. It is important to make sure that impact is positive.


Therefore, we have created a framework for ethically and socially sustainable artificial intelligence application that addresses these challenges and emphasizes common principles such as transparency, citizen-first, comprehensibility, non-discrimination and human dignity:


Transparency & Accountability

AI systems must be explainable and understandable. AI outputs must be traceable and algorithmic calculations transparent.

Privacy & Security

AI systems should be secure and respect citizen’s privacy (GDPR)

Inclusiveness, Fairness & Unbiasedness

Any AI model must be fair, equal and inclusive. That means identifying each relevant voice without prejudice of the content and context, no matter who the person is who created it.


AI is a tool; humans decide how to implement it. Defining the use case helps define what is right and what is wrong.

Reliability & Safety

AI systems must act as expected, and be invulnerable to attacks


Legal contracts of AI platforms must grant shared responsibility in all the previous levels.

Global Data commons

Governments, companies and citizens must share the data that brings prosperity to society respecting data sovereignty. Accessible & understandable AI to limit inequalities in data sharing.

Social impact

Positive impact on all stakeholders (citizens, governments, companies and the planet). Every stakeholder is responsible of their actions and decisions independently on the system used.


As forerunners of Ethical AI, we also put these principles into action together with our partners and customers.