Humanizing artificial intelligence is not simply making technology appear more human, communicate more naturally, or reproduce human characteristics. Its deeper legal significance is to recognize, protect and properly organize the human reality behind every technological activity, every commercial interaction, every decision, every omission and every legal relationship in which artificial intelligence participates.

AI humanization must begin with a fundamental question: Who are the human beings and organizations participating in the reality that artificial intelligence helps create, influence, transform or communicate, and what is each of them legally responsible for?

This question is universal. It concerns individuals and organizations, private and public sectors, domestic and foreign participants, national and international institutions, technology providers, commercial enterprises, consumers, intermediaries, professional advisers and authorities.

It also concerns the legal teams responsible for understanding and addressing the consequences of those relationships. Their responsibility is not merely to recognize that AI exists or to identify the applicable technological rules. It is to understand the complete legal reality of each case, identify the relevant persons, qualify their respective conduct and relationships, and determine the legally appropriate preventive or corrective response.

1. The human reality behind every artificial intelligence system

Artificial intelligence does not exist outside human and organizational reality. Its development, provision, financing, deployment, configuration, integration, supervision, commercial use, communication, maintenance and correction involve persons and organizations acting within identifiable factual, economic, institutional and legal circumstances.

Even where a technological system operates autonomously in a technical sense, the legal analysis must examine the human and organizational relationships surrounding its creation, authorization, use and consequences.

The distinction is essential: technical autonomy does not automatically mean legal autonomy, independent legal personality, or the disappearance of human and organizational responsibility.

AI may produce outputs, execute operations, recommend decisions, classify information, generate communications, process personal information or influence commercial transactions. Nevertheless, the legal significance of those activities must be determined according to the actual facts, the applicable legal framework, the participants’ respective roles, their duties, their conduct and the legal consequences.

Human beings remain central to the legal analysis

Every natural person participating in a legal relationship must be considered according to that person’s actual role and legally relevant circumstances. This includes consumers, representatives, employees, directors, developers, suppliers, professionals, public officials, decision-makers and other individuals whose conduct or omissions may be relevant to a particular case.

Likewise, organizations must be considered according to their own legal personality, institutional position, activities, powers, duties and responsibilities. A corporation, public authority, technology provider or international organization cannot simply be reduced to the individual who happens to represent it.

Organizations are legal subjects with their own legally established rights and obligations. At the same time, their activities are realized through human beings who act, communicate, decide, authorize, execute, supervise or omit actions within their organizational structures.

Consequently, proper legal analysis must recognize both dimensions without confusing them:

• The organization: its legal personality, institutional responsibilities, rights, duties, authority, contractual position and legally attributable conduct.
• The individuals: their actual participation, functions, authority, knowledge, actions, omissions, applicable duties and individual legal responsibility where established.
• The relationship: the legal connection between the organization, the individuals and the other participants affected by the relevant facts.
• The legal consequences: the rights, duties, remedies, liabilities and corrective measures arising under the applicable legal framework.

This distinction prevents two opposite errors: treating an organization as though it were merely an individual, or treating an organization as an abstract entity that eliminates the relevance of the human beings acting within it.

2. Universal responsibility: every participant must be legally understood according to their actual role

The humanization of AI requires a complete understanding of the participants in every relevant legal relationship. No participant should be excluded from the analysis merely because of nationality, geographical location, institutional status, public or private ownership, technological sophistication or organizational size.

However, universal analysis does not mean that every participant is automatically liable, that everyone has identical duties, or that a single jurisdiction governs every situation. Responsibility must be legally established and individualized according to the applicable law, jurisdiction, relevant facts, causal relationships, legal duties and available evidence.

The principle is therefore not universal liability. It is universal inclusion in the legal analysis and individualized determination of responsibility.

2.1. Individuals as participants in legal relationships

Each individual must be understood as a person, not simply as a data point, user profile, operational resource or abstract component of an AI system.

The legal significance of an individual’s participation depends on the particular relationship and circumstances. For example, an individual may participate as:

• A consumer entering into a digital commercial relationship.
• An employee operating or supervising an AI-enabled process.
• A developer designing or modifying a technological system.
• A professional providing legal, technical or commercial advice.
• A representative acting on behalf of an organization.
• A public official exercising legally established institutional powers.
• A decision-maker approving or implementing an AI-assisted action.
• A third party whose conduct affects the legal relationship or its consequences.

These roles are not interchangeable. Their corresponding legal responsibilities must be determined individually and contextually.

2.2. Private-sector organizations

Private organizations participate in AI-related legal relationships through their commercial activities, contractual commitments, products, services, technological infrastructure, internal governance and relationships with consumers and other businesses.

Companies must understand the legal consequences of their own conduct and the conduct of persons acting within their organizational structures, taking into account the applicable rules of attribution and responsibility.

Depending on the case, relevant participants may include:

• Manufacturers and developers of AI-enabled products.
• Technology providers and platform operators.
• Distributors, merchants and digital marketplaces.
• Advertisers, marketing agencies and communication providers.
• Payment intermediaries and financial service providers.
• Data-related service providers and external processors.
• Contractors, consultants and professional service providers.
• Corporate directors, employees and authorized representatives.

The fact that several organizations participate in the same commercial process does not automatically make their responsibilities identical or joint. Each relationship, contractual allocation, legal duty and actual contribution must be examined.

2.3. Public-sector organizations and authorities

Public institutions are also part of the human reality of AI. Their participation may involve public administration, procurement, regulatory supervision, public services, enforcement, adjudication, institutional decision-making or the protection of legally recognized interests.

Public authorities must be considered according to their legally established powers, jurisdiction, duties, procedural obligations and institutional responsibilities.

Their public character does not place them outside legal accountability. Equally, their authority does not mean that they may assume responsibilities belonging to private participants or disregard the rights and procedural protections of individuals and organizations.

Humanizing AI therefore requires examining:

• Who authorized or adopted the relevant public-sector AI application?
• Which public institution has legal competence over the matter?
• Who made or approved the relevant administrative or institutional decision?
• What legal duties govern transparency, due process, supervision and review?
• Which remedies and accountability mechanisms are legally available?

2.4. Foreign and international participants

Digital consumer relationships frequently cross national borders. A consumer may interact with a company established abroad, use a platform operated by a foreign organization, receive communications generated through international service providers or have personal information processed in different territories.

International technological and commercial relationships may involve multiple legal systems and institutions simultaneously.

AI humanization must therefore include foreign individuals, foreign companies, international service providers, multinational organizations and relevant national or international authorities in the analysis.

However, their inclusion does not create universal jurisdiction. The applicable legal framework must be determined through the relevant rules governing territorial scope, jurisdiction, conflict of laws, contractual relationships, international cooperation, institutional competence and enforceability.

3. Third parties: humanizing the complete network of legal relationships

One of the most important dimensions of AI humanization is recognizing that the principal parties to a contract are not necessarily the only persons or organizations legally relevant to a case.

A digital consumer transaction may depend on several interconnected participants. A merchant may use a marketplace, a payment provider, an advertising agency, an AI-based customer service provider, a cloud infrastructure provider and external data services.

Other third parties may participate in communications, authentication, delivery, dispute resolution, technical maintenance or the provision of information.

These participants may create, transmit, modify, store, classify or communicate facts that become relevant to the legal relationship.

The legal significance of third-party participation

The correct legal question is not simply whether a third party participated. It is what that participation legally means in the particular case.

For each third party, the legal team must determine:

• Its identity and legally relevant characteristics.
• Its relationship with each principal party.
• The factual activity it performed or failed to perform.
• Its contractual, statutory, professional or other applicable duties.
• The authority, permissions and limitations governing its participation.
• Whether its conduct contributed to a relevant event or consequence.
• Whether its conduct creates an independent, shared or otherwise legally recognized responsibility.
• The appropriate legal mechanism for prevention, correction, redress or accountability.

This analysis is particularly important when AI is embedded in a chain of services. A company cannot assume that outsourcing a technological function automatically eliminates its own legal obligations. Conversely, the involvement of a service provider does not automatically establish that the provider is responsible for every consequence of the commercial relationship.

Responsibility must be established according to the actual legal and factual circumstances of each participant.

4. The complete reality of the legal relationship: facts must be humanized and legally qualified

Humanizing AI also means humanizing the factual background of every legal case.

A legal relationship is not limited to a contract, a transaction, a technological operation or a formal communication. It exists within a concrete reality involving persons, organizations, circumstances, conduct, time, space, events, information, decisions and consequences.

Every relevant fact must be understood in its complete context and legally qualified according to its meaning and effects.

Communication is a fact, not merely a technological function

One particularly important example is communication.

A communication generated by an AI system, transmitted by a platform, approved by an employee or received by a consumer is not simply a technological output. It is a factual event that may have legal significance within a particular relationship.

Its legal meaning depends on the circumstances, including:

• Who originated, authorized, generated, modified or transmitted it.
• Who received it and in what legal capacity.
• What information, representations or commitments it contained.
• Whether it created, modified, confirmed or affected a legal expectation or position.
• Whether it was accurate, misleading, incomplete, ambiguous or inconsistent.
• Whether it complied with applicable legal, contractual and professional duties.
• What happened before and after the communication.
• What legal consequences may be attributable to it.

The same applies to an AI recommendation, an automated rejection, a personalized advertisement, a chatbot response, a product description, a digital acceptance, a complaint response or the omission of an expected communication.

The legal team must not confuse the technical form of an event with its legal nature. The technological mechanism explains how something occurred; legal qualification determines what it means within the relationship.

Time, space and circumstances are part of legal reality

Every legal relationship develops in a particular moment of life. That moment is constituted by relevant circumstances of time and space, the persons involved, the events occurring and their relationship to the whole situation.

Consequently, digital consumer legal risk cannot be properly understood by isolating a single screen, message, transaction or algorithmic output from the circumstances in which it occurred.

The legal team must reconstruct the relevant sequence of events, understand their context and determine their legal meaning, including the relationship between events occurring before, during and after a transaction or dispute.

5. Humanization requires individual responsibility, not the dilution of responsibility

One of the greatest risks associated with AI is the possibility that responsibility becomes difficult to identify because several individuals and organizations participate in the same process.

Responsibility may become obscured behind expressions such as automated decision, algorithmic result, technological limitation, third-party service, organizational procedure or AI-generated communication.

These expressions may describe relevant facts, but they cannot substitute for legal analysis.

Humanization must therefore establish a clear distinction between technological participation and legally attributable responsibility.

Five principles for individualized legal accountability

These principles prevent the artificial intelligence system from becoming a convenient substitute for identifying the actual participants and their respective obligations.

They also protect individuals from unjustified attribution of responsibility. Humanization is not an argument for automatically blaming the nearest human being. It is a requirement to establish responsibility correctly, with due regard to the applicable law, evidence, procedural guarantees and the particular circumstances of each person.

6. The entire humanity: universal human relevance without assuming identical legal circumstances

AI humanization has a universal dimension because artificial intelligence affects human relationships across geographical, institutional, economic and social boundaries.

Its consequences may concern individuals and organizations in different countries, people with different contractual positions, consumers and merchants, public institutions and private enterprises, and participants with different levels of technological knowledge and decision-making power.

Nevertheless, recognizing the entire humanity does not mean treating everyone as though they occupied the same legal position.

A consumer, a company director, a technology provider, a public authority and an employee may all be human participants in the same factual reality, but their legal capacities, rights, duties and responsibilities may be fundamentally different.

Proper humanization therefore requires two complementary perspectives:

Universal inclusion

Every person and legally relevant organization must be considered when their participation, conduct, rights, duties or interests matter to the case. No relevant participant should disappear from the legal analysis because the relationship is technologically complex or internationally distributed.

Individualized legal treatment

Every participant must be treated according to their particular legal position, actual conduct, applicable obligations, relevant circumstances and legally established responsibility.

These two perspectives are not contradictory. Universal inclusion makes individualized legal treatment possible.

7. Digital consumer legal risk: where AI humanization becomes a practical legal necessity

Digital consumer relationships provide a particularly important setting for applying these principles because they combine human decisions, commercial interests, technological systems, communications, personal information, contractual relationships and potentially multiple third-party services.

AI may participate in almost every stage of the consumer relationship:

• Market research and consumer profiling.
• Product design and personalization.
• Advertising and commercial representations.
• Product recommendations and purchasing assistance.
• Price presentation and commercial conditions.
• Contract formation and acceptance.
• Payment and transaction authorization.
• Delivery, performance and after-sales services.
• Customer communications and complaint management.
• Dispute prevention, resolution and post-dispute analysis.

Each of these stages may involve different people, organizations, technologies, communications and legal duties.

The legal team must therefore understand digital consumer legal risk as a relationship-based legal phenomenon rather than merely as a technological or regulatory compliance issue.

Preventive humanization: before a dispute exists

Prevention requires identifying legally relevant indicators before they become conflicts, claims, complaints, damages or other adverse consequences.

For example, an AI-enabled commercial communication may contain an inaccurate product description, an incomplete representation of a price, an ambiguous condition or an unjustified promise.

The preventive legal team must identify the factual and legal significance of that communication, the participants responsible for its creation and distribution, the applicable duties and the corrective action necessary before the consumer relationship deteriorates.

The same reasoning applies to algorithmic recommendations, personalization, automated eligibility decisions, digital consent, contractual information, consumer profiling and third-party services.

Prevention means more than detecting a technological defect. It means legally understanding and addressing the actual circumstances that may create or increase consumer legal risk.

Corrective humanization: when a conflict or dispute exists

When a dispute arises, the legal team must move from preventive identification to a complete legal reconstruction of the case.

It must determine what actually happened, which legal relationships were involved, who participated, what each participant did or omitted, what information was communicated, which duties applied and what legal effects followed.

Corrective action may involve contractual performance, rectification of information, restoration of rights, consumer redress, negotiation, alternative dispute resolution, litigation or other legally appropriate mechanisms.

Importantly, correction must not be limited to resolving the immediate complaint. The legal team must also determine whether the underlying commercial, organizational or technological process needs to change to prevent recurrence.

Post-dispute humanization: learning from the legal reality of the case

A resolved dispute remains a source of legally relevant knowledge.

The organization should analyze the facts, communications, decisions, omissions, responsibilities and outcomes to understand what its legal team and other participants should learn.

This learning must be translated into improvements in contractual arrangements, commercial processes, technological configurations, organizational responsibilities, communication practices, supervision and legal decision-making.

The objective is to transform the experience of an individual case into improved collective legal capability without losing sight of the rights and circumstances of the individuals involved.

8. The greater responsibility of legal teams: making humanization legally operational

AI humanization increases the practical importance of legal teams because the complete legal reality of an AI-enabled consumer relationship cannot be properly addressed through isolated technological assessments or fragmented compliance activities.

Legal teams must be capable of connecting the human, organizational, factual, contractual, commercial, technological, institutional and legal dimensions of each case.

Their responsibility is particularly significant because they are expected to translate complex factual circumstances into legally sound decisions and actions.

They must not simply ask whether a company uses AI, whether a provider has a policy or whether an automated system performs as designed.

They must ask whether the actual relationship is legally valid, whether the relevant conduct respects applicable rights and duties, whether the participants’ responsibilities have been properly identified and whether the organization is capable of preventing, managing and resolving the legal consequences.

Legal team capability indicators for AI humanization

9. The Protsumer Model: translating AI humanization into applied professional capability

The Protsumer Model provides a practical legal approach to transforming legal knowledge into collective professional capability for legal teams addressing digital consumer legal risk.

Its importance in AI humanization lies in its preventive and corrective orientation and its emphasis on legally understanding the complete reality of each case.

It is not sufficient for legal professionals to know that a particular AI application may create risks. The legal team must be able to identify the relevant indicators, understand their legal meaning, determine the participants’ positions and responsibilities, and establish what must be done.

The Model connects the legal analysis of the individual case with the organization’s collective ability to act properly throughout the digital consumer relationship.

From individual legal knowledge to collective professional capability

A legal team may include highly qualified lawyers and specialists who individually understand different areas of law. Nevertheless, individual expertise does not automatically guarantee that the team can consistently address the complete legal reality of a complex digital consumer case.

The team must be capable of integrating different perspectives into a coherent legal response.

For example, an AI-generated commercial representation may simultaneously raise questions concerning consumer rights, contractual validity, advertising, communication, evidence, third-party participation, organizational authorization and corrective obligations.

If these questions are examined separately without an integrated understanding of the legal relationship, the organization may fail to identify the actual legal problem or respond appropriately.

The Protsumer Model addresses this challenge by emphasizing the team’s ability to connect legal knowledge with practical legal judgment and coordinated action.

10. AI governance must be human-centered and legally relationship-centered

AI governance is often discussed through policies, technical standards, risk classifications, documentation, model evaluations, security measures and organizational controls.

These elements may be valuable and necessary. However, they are not a substitute for understanding the actual legal relationships in which AI operates.

An organization may have a sophisticated AI governance framework and still fail to identify an inaccurate consumer communication, an invalid contractual condition, an inappropriate allocation of responsibility or a legally significant third-party intervention.

Similarly, technical transparency does not necessarily establish legal validity, and technical accuracy does not automatically establish that a commercial activity respects the applicable legal rights and duties.

AI governance must therefore be connected with substantive legal analysis.

Questions that human-centered AI governance must answer

• Which individuals and organizations participate in the relevant AI-enabled legal relationship?
• What is the legal nature of each participant’s involvement?
• Who has authority to make, approve, supervise or correct the relevant decisions?
• What rights and duties govern the activity?
• How do communications and technological outputs affect the legal relationship?
• Which third parties contribute to the relevant facts and processes?
• What evidence allows the legal team to reconstruct and qualify the case?
• How must the organization prevent or correct legally relevant failures?
• What must be learned to improve future performance?

These questions help connect AI governance with actual legal responsibility rather than allowing governance to become an isolated technical or administrative exercise.

11. Humanizing the law itself: restoring its connection with actual persons and reality

AI humanization also requires a deeper understanding of the law.

The law is not merely a collection of technological restrictions, abstract rules, compliance procedures or institutional documents. It establishes and organizes legally recognized rights, duties, freedoms, limits, powers, relationships, validity conditions and consequences.

Its application requires understanding how these legal elements relate to actual persons, organizations, conduct and circumstances.

A legally meaningful analysis must therefore connect:

• Persons: who participates and in what legal capacity.
• Facts: what actually happened or failed to happen.
• Relationships: how participants are legally connected.
• Rights: what interests and entitlements are legally recognized.
• Duties: what each participant must or must not do.
• Legal freedom: what actions are legally permitted and within what limits.
• Validity: whether the relevant acts, decisions and relationships satisfy applicable legal requirements.
• Consequences: what legal effects arise from the facts and conduct.
• Justice: how the applicable legal framework protects rights and addresses legally relevant conflicts.

This approach prevents technological terminology from replacing legal reasoning.

For instance, describing an outcome as an AI decision does not answer whether it was legally authorized, whether the relevant person had appropriate information, whether contractual duties were respected, whether a consumer’s rights were affected or whether a remedy is required.

The law must be applied to the actual legal situation, not merely to the technological description of that situation.

12. From every individual case to the collective responsibility of humanity

There is a fundamental connection between individual legal accountability and the broader human consequences of artificial intelligence.

Every individual case contributes to the way technological systems, commercial practices, organizational structures and public institutions affect human relationships.

When an organization identifies and corrects a legally significant failure, it may improve the experience of the affected consumer and prevent similar failures in future relationships.

When a legal team identifies the actual responsibilities of the participants, it contributes to more reliable commercial practices, better institutional decisions and more coherent legal accountability.

When public authorities exercise their legally established functions appropriately, they contribute to the protection of rights and the integrity of the legal system.

When third parties understand their applicable obligations, the entire network of relationships can operate with greater legal certainty.

This is how the individual and collective dimensions of humanization connect.

However, the responsibility of humanity should not be confused with an abstract collective liability imposed on every human being. Each person’s responsibility remains dependent on their actual participation and the applicable legal requirements.

The universal dimension is the recognition that AI-related legal consequences ultimately concern human beings, their organizations and the relationships through which they live, work, exchange, communicate and exercise their rights.

13. The ultimate legal team challenge: seeing the whole and responding to each person

The most demanding responsibility of a legal team is to maintain two complementary levels of legal understanding.

First, it must understand the whole: the complete factual background, the network of legal relationships, the technological environment, the commercial process, the participating organizations, the third parties and the applicable legal framework.

Second, it must respond to each participant according to that participant’s particular legal position, rights, duties, conduct, interests and circumstances.

Neither perspective is sufficient without the other.

Examining only the whole may result in general conclusions that fail to recognize individual legal positions. Examining only isolated individuals may result in fragmented conclusions that fail to understand the actual circumstances and interconnected relationships.

The legal team must therefore integrate both perspectives.

A practical universal-to-individual legal analysis

This is the practical challenge that AI humanization places before modern legal teams: not simply understanding artificial intelligence, but understanding and legally addressing the human reality in which it participates.

Conclusion: AI must serve human legal reality, not obscure it

Artificial intelligence is transforming the way individuals and organizations communicate, contract, make decisions, provide services and participate in digital commercial relationships.

Its development makes legal responsibility more demanding because technological processes may involve numerous participants, interconnected organizations, cross-border services, automated communications and complex factual circumstances.

But complexity does not eliminate the law’s fundamental task: understanding the actual legal situation and determining the rights, duties, powers, responsibilities and consequences applicable to the persons and organizations involved.

AI humanization must therefore extend beyond making artificial intelligence more understandable or accessible. It must make the legal analysis of AI-enabled human relationships more complete, more accurate and more responsive to the circumstances of every individual case.

Every natural person must be considered as a person. Every organization must be considered according to its legal personality and responsibilities. Every third party must be examined according to its actual participation. Every public authority must be understood according to its legal competence and duties. Every foreign and international participant must be considered through the applicable jurisdictional and legal framework.

And every legal team must be capable of connecting these dimensions into a coherent preventive and corrective response.

Legal perspective: This article presents a universal conceptual and professional framework, not a declaration that one legal regime or jurisdiction applies to every AI-related relationship. The determination of specific rights, duties, jurisdiction, attribution, liability and remedies requires analysis of the applicable law and the facts of each case.