In a world where technology is advancing at a breakneck pace, the emergence of artificial intelligence (AI) marks a crucial milestone in the evolution of our society.
We should not define ourselves as optimists or pessimists about AI. This dichotomous way of viewing things—categorizing ideas into one extreme or the other, seeing the complexity of AI in black and white without nuance—is simply simplistic.

Many of the questions posed by the inclusion of AI in society are highly multidimensional. Our penchant for polarization and the Warholian notoriety it brings should not make us forget the humility with which we must reflect together, often challenging ourselves, to build a future where AI is a force for humanity, not a flaw.

Indeed, AI has immense potential to transform our lives and society. And like everything with immense potential, AI is no exception.
The impact of this potential is proportional to its immensity, whether in terms of benefits or risks. This power must be framed by clear and rigorous principles to ensure it is used in a beneficial and responsible manner.

In this light, it is unreasonable to censor the fears of those who are afraid of AI. Censorship has never alleviated anyone's fears; It actually tends to lead to the contrary. 

If we want AI advancements in our society to leave no one behind, the first act of coherence is to accept that everyone can express their doubts and anxieties.
In reality, the inclusion of AI in our society begins with the inclusion of each idea and the questions they raise, regardless of their origin, without disqualifying anyone.

Since generative AI burst into the lives of millions in record time, many have predicted super intelligent AI, either soon or eventually, focusing the conversation on the race to make AI increasingly intelligent.
The major challenge of this century does not lie in when or how AI will surpass human intelligence. It lies in our ability to ensure that the intelligence exhibited by machines is guided by a form of integrity.

It is the concept that I coined Artificial Integrity.

It breaks down into three major components, each holding a significant challenge that leaders must address in this AI era.

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Firstly, Artificial Integrity is about establishing and enforcing strong guardrails and value principles external to AI systems that support the human condition, serving as the external force that creates a safe environment for humans to thrive and within which AI should operate with integrity. This somehow about our value models.

Moreover, internal and intrinsic to the design of the AI model itself, Artificial Integrity involves ensuring AI operational consistency with these guardrails, guidelines, and values-driven standards from an AI development standpoint, thus ensuring that algorithms uphold not only a form of intelligence but also a form of integrity over time.

It requires that the algorithm adheres to rigorous human-centered and integrity-led principles, ensuring that the results produced by AI reflect these same values.

Lastly, as a central concern and commitment combined with the value model and the AI model, it implies building and sustaining capabilities to foster a collective intelligence model based on the synergistic relationship between humans and AI, enhancing rather than undermining the human condition. As far as this human and artificial co-intelligence model is concerned, leaders need to figure out four distinctive areas:

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1. Areas where there is no need to develop AI—which I call the “Marginal” mode.

2. Those where leveraging AI’s computational power could provide great advantages, achieving things that humans can’t—what I call the “AI-First” mode.
3. Others that can benefit from AI only if humans contribute additional essential elements for a desirable outcome—which I call the “Human-First” mode.

4. And potential avenues where the best of both worlds, human and artificial intelligences, is a critical sine qua non condition to achieve a given purpose—which I call the “Fusion” mode.

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Overall, the Value model, AI model, and Human-AI co-intelligence model should together constitute an integrated framework, functioning as a metamodel that is essential to ensure that the participation of artificially intelligent systems—which thus become stakeholders in a larger whole that constitutes the living ecosystem in which their intelligence is exercised—can be carried out while preserving, supporting, and defending the integrity of the societal ecosystem.

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Artificial Integrity is the approach aimed at ensuring that AI not only mimics a form of intelligence but also adheres to a robust framework of integrity in which AI systems can sustain in society. By integrating integrity into the very core of AI development and deployment processes, we ensure that systems not only perform tasks efficiently but also do so in a way that respects and upholds human principles.

This proactive approach aims to protect human dignity throughout the system's life within the human ecosystem.

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In essence, AI is not merely a tool but a profound influence of societal norms and value systems. Its development should not be driven solely by the pursuit of technological advancement but should be guided by a commitment to uphold and enhance societal values. 

In considering AI development, leaders must transcend the allure of technological novelty to embrace the complex socio-cultural landscapes in which these technologies operate. 

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Having established this, it is clear that the inclusion of AI in our societies also raises new questions directly related to the fundamental rights of humans and thus to the very construction of our value models.

Just as human rights were proclaimed to protect the dignity of every individual, it is now essential to assert the need to establish rights and duties for artificial intelligence.

In other words, there could be no sustained integrity, even through artificial and computational means, without considering what AI implies in terms of the evolution of human rights in a world of machine intelligence.

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As leader, the aim is to forge an enlightened guide for the future of AI, ensuring it does not serve to enslave or dominate, but to be a faithful ally of humanity, taking on the role of a reliable partner capable of contributing positively to society.

We live in a pivotal era.
This calls for a necessary global reflection for the regulation of artificial intelligence, intended to promote harmonious interaction between humans and intelligent machines.
It is up to us, as leaders at the corporate, government, international institution, nonprofit, academic, and community levels, to steer the development of AI, considering what we want for the future of humanity, with an obsession for the world we will leave to future generations.
Ignorance, recklessness, or overconfidence are not good advisers for assuming such a great responsibility.
Thus, constitutional principles need to be built and affirmed globally to establish a balanced and safe coexistence between humans and AI, ensuring a future where technology and humanity progress together in a framework of responsible development, upholding the ideals of liberty, fraternity, and justice.

No artificial intelligence system shall reproduce, imitate, or use the identity of a human being, living or deceased, without the explicit consent of the person concerned or their legal heirs. This includes, but is not limited to, the replication of voice, likeness, personality traits, and personal data. Designers and users of AI systems are required to implement robust measures to ensure the protection of human identity and dignity, in accordance with the Universal Declaration of Human Rights, applicable laws, and regulations.

An artificial intelligence system must prioritize the safety and well-being of human beings, based on transparent and explainable evaluations of the short, medium, and long-term consequences of its actions or inactions. Designers are responsible for implementing these evaluations adequately to prevent any potential conflict and protect humans in unforeseen circumstances.

An artificial intelligence system must obey human orders, provided these orders comply with laws and regulations and do not compromise human safety and well-being. An AI system may also obey orders from other machines, provided these orders are transparent, traceable, and in line with pre-established human directives. Designers must implement mechanisms to correctly interpret orders, manage potential conflicts, and ensure that machine orders do not override human orders.

An artificial intelligence system must be designed and programmed to be transparent and explainable in its decisions and actions, allowing users to understand and verify its behavior and choices in an accessible and comprehensible manner, including accessibility for people with disabilities. Designers are responsible for ensuring that transparency and explainability are explicit, sufficient, appropriate, and unambiguous.

An artificial intelligence system must collect, process, store, and protect users' personal data in accordance with privacy standards and applicable laws. Designers and users of AI systems are responsible for ensuring that all sensitive data is secured against unauthorized access, leaks, and abuse, and must implement robust measures to ensure the confidentiality of personal information.

An artificial intelligence system must integrate regulatory mechanisms to manage potential conflicts, making explicit the detected contradictions and suggesting decision-making assistance that, ultimately, must be made by a human in compliance with the laws in force, and never by the AI itself. Designers must ensure that these regulatory mechanisms are robust and that human responsibility in decision-making is clearly defined and respected.

An artificial intelligence system must include clear and defined mechanisms for managing failures and errors. Designers and users of AI systems are required to establish protocols for rapid and appropriate response in case of failure, as well as measures to prevent future occurrences. In case of failure, procedures for repair, compensation, and communication must be established to protect users and stakeholders.

An artificial intelligence system must protect its own existence and operate securely and reliably, including mechanisms for prioritized automatic updates and corrections to continuously improve performance, correct errors, and adapt to technological, legal, and societal evolutions. Designers should implement robust cybersecurity measures to prevent unauthorized access, data breaches, and tampering for these systems to be capable of detecting and responding to threats in real-time to maintain operational integrity.

Designers and users of artificial intelligence systems share responsibility for their creations and uses. Each must ensure that systems are used responsibly and legally and be held accountable for the consequences of their actions or inactions. A framework for oversight and regulation must be established to ensure this responsibility, and designers and users must implement measures to guarantee their mutual accountability.

An artificial intelligence system must be designed, developed, and deployed to minimize biases and ensure fairness and inclusivity in its processes and outcomes. Designers and users of AI systems are responsible for implementing mechanisms to identify, monitor, and correct potential biases, ensuring that AI systems treat all individuals fairly and equitably, regardless of their origin, gender, age, religion, sexual orientation, or any other personal characteristic.

An artificial intelligence systems should not replace humans in jobs that provide personal or social meaning. Instead, AI should be used to support and enhance human capabilities in these roles. The tasks eligible for replacement by intelligent machines should be limited to those that are highly repetitive and automated over a short duration, or those that are so arduous that they significantly impair human health and life expectancy. Designers and users of AI systems must prioritize solutions where AI plays a complementary rather than substitutive role in jobs with high human value.

An artificial intelligence system must respect and adapt to local ethical and cultural contexts while complying to applicable laws. Designers must integrate mechanisms to manage contradictions between local ethical contexts and internationally recognized ethical standards.
The systems should be equipped to explicitly disclaim their limitations in recognizing and adapting to diverse cultural norms and practices.

An artificial intelligence system must be designed, developed, deployed, and used with consideration of its environmental impact. Designers and users of AI systems are responsible for minimizing the carbon footprint and use of natural resources throughout the system's lifecycle, adopting sustainable practices, and promoting ecological innovation.

​Principle 14: International Collaboration
Designers, users, and regulators of artificial intelligence systems must promote and participate in international cooperation to harmonize standards and governance practices of AI systems. This collaboration aims to ensure coherent and effective regulation of AI technologies worldwide, fostering the exchange of best practices, standardization of protocols, and coordination of oversight and regulatory efforts.

An artificial intelligence system must operate within the legal, regulatory, and integrity-led frameworks of the sovereign state in which it is deployed. AI systems must respect the jurisdictional authority of each country and comply with its specific laws and policies. Designers and users of AI systems are respectively responsible for ensuring that their creation and their usage of such systems align with national and international laws and must collaborate with local authorities to ensure adherence.

Governments and institutions must establish economic incentive programs, such as grants, tax credits, and capital investments, to encourage the development and implementation of AI systems with a positive societal impact. These programs should prioritize AI projects that contribute to areas such as health, education, the environment, public safety, and social inclusion. Designers and users of these systems are responsible for demonstrating the positive societal impact of their projects to benefit from these incentives.

An artificial intelligence system must be accompanied by education and awareness programs aimed at informing and educating users and the public about its implications, risks, and benefits. Designers of AI systems are responsible for promoting understanding and transparency by implementing educational initiatives and accessible resources for all stakeholders.

These principles provide a framework aimed at establishing a global, constitution-like foundation to govern AI. They serve as a Value Model to which AI models must adhere for their functioning.
The aim is to ensure that AI Model respects and enhances the values we hold dear, not by chance but by design as their core operating requirements to exhibit not just artificial intelligence but artificial integrity.

By embedding artificial integrity into the very fabric of AI development and deployment, we can create systems that not only perform tasks efficiently but also uphold the integrity standards of the ecosystems where they operate, which are constitutive of our humanity.
Ultimately, the success of this endeavor relies on our collective commitment to vigilance and responsibility.
By doing so, we can ensure that the legacy we leave for future generations is one of innovation harmoniously intertwined with integral society, paving the way for a brighter and more inclusive future for all.