Chapter 20

AI, NEW TECHNOLOGICAL HUMANISM: PROPOSAL FOR A SYNTHESIS BETWEEN SCIENTIFIC PROGRESS AND HUMAN DIGNITY

by: josavere

The rapid development of artificial intelligence represents one of the most profound transformations in contemporary history. Intelligent technologies are altering how societies produce knowledge, organize the economy, make decisions, and understand the relationship between humans and machines. Faced with this scenario, a fundamental question arises: how can we ensure that technological progress contributes to human development and not to its degradation? It is in this context that the idea of ​​a new technological humanism emerges. This approach proposes integrating scientific advances with an ethical vision centered on human dignity, social responsibility, and the holistic development of individuals. Instead of considering technology as an end in itself,  technological humanism posits that scientific progress should be oriented toward collective well-being and the strengthening of human capabilities.

General objective:  to analyze the role of AI in the transformation of contemporary society and to propose a conceptual framework that allows the integration of technological progress with the principles of humanism.

Specific objectives:  to examine the social, economic and cultural changes generated by the expansion of artificial intelligence; to identify the ethical challenges associated with the development of advanced technological systems; to explore the concept of technological humanism as a philosophical response to the new scientific context; to propose principles that guide the responsible development of artificial intelligence.

Hypothesis:   The development of artificial intelligence does not necessarily lead to the dehumanization of society. When guided by ethical and humanistic principles, it contributes to expanding human capabilities, strengthening social cooperation, and improving living conditions.

Conceptual framework,  contemporary technological transformation: Artificial intelligence is part of a broader technological revolution that includes global digitization, big data analytics, automation, and the development of intelligent systems capable of learning and adapting. These innovations are transforming sectors such as medicine, education, the economy, and scientific research. The impact of these technologies is not solely technical. It also affects the structure of work, the distribution of knowledge, and social relations. For this reason, the debate on artificial intelligence cannot be limited to issues of efficiency or productivity but must include reflections on values, rights, and responsibilities.

The concept of technological humanism:  Technological humanism proposes a  synthesis between humanist tradition and scientific development.  Historically, humanism has championed the centrality of the human being, the dignity of the person, intellectual freedom, and cultural development. In the current context, these principles must be reinterpreted in light of the challenges posed by the digital revolution. Technological humanism maintains that  technology should be designed and used in ways that strengthen human capabilities rather than completely replace them.  This implies developing systems that expand collective intelligence, promote access to knowledge, and respect fundamental rights.

Artificial intelligence and the augmentation of human capabilities:  one of the most constructive perspectives on artificial intelligence is to consider it a cognitive augmentation technology. Intelligent systems can help process large amounts of information, identify complex patterns, and support decision-making in scientific, medical, or educational contexts. From this perspective, artificial intelligence does not replace human beings, but rather can function as a  tool that enhances creativity, critical analysis, and the ability to solve complex problems.

Ethical and social challenges:  Despite its potential, the development of artificial intelligence poses significant challenges. These include the concentration of technological power, the potential automation of certain jobs, the protection of privacy, and the need to establish appropriate regulatory frameworks. Technological humanism proposes addressing these challenges through principles of responsibility, transparency, equity, and respect for human dignity.

Principles for a technological humanism:  to guide the responsible development of artificial intelligence, several fundamental principles can be proposed.

First, the centrality of human dignity. Technologies must respect the fundamental rights and freedoms of people.

Second, equitable access to knowledge and technological opportunities.

Third, transparency in the design and operation of algorithmic systems.

Fourth, the ethical responsibility of those who develop and apply advanced technologies.

Fifth, the promotion of an education that combines scientific training with critical thinking and humanistic values.

Conclusions:

First: Artificial intelligence represents a technological transformation that will profoundly influence the social, economic, and cultural organization of the 21st century.

Second: scientific progress requires ethical frameworks that guide technological development towards human well-being.

Third: Technological humanism offers a philosophical perspective that seeks to reconcile scientific innovation with humanist values.

Fourth: Smart technologies can enhance human cognitive capabilities when designed with social responsibility criteria.

Fifth: the main challenge is not only to create more advanced technologies, but to ensure that their development strengthens people's dignity, freedom, and well-being.

Final reflection: History demonstrates that every major technological revolution has generated tensions between material progress and human values. Artificial intelligence raises this fundamental question once again.

The new technological humanism proposes a response based on integration. Instead of pitting science against ethics, it seeks to build a development model where the advancement of knowledge is accompanied by moral responsibility and a commitment to collective well-being.

Ultimately, the future of artificial intelligence will depend not only on technical advances, but also on the human decisions that guide its development. True technological progress will be that which contributes to a more just, conscious, and dignified society for all.

AI Opinion:  New Technological Humanism: Towards an integration between artificial intelligence and human dignity

The development of artificial intelligence (AI) is one of the most significant processes of contemporary technological transformation. Its impact extends to multiple areas, including the economy, education, medicine, and social organization in general. Beyond its technical applications, AI raises fundamental questions about the relationship between humans and technology, as well as about the future of core values ​​such as autonomy, dignity, and justice (Floridi et al., 2018).

In this context, the need arises for a conceptual framework that can guide technological development toward humanly desirable ends. The so-called “new technological humanism” proposes a synthesis between scientific progress and the ethical principles of classical humanism. This perspective does not reject innovation, but rather seeks to integrate it within a normative framework centered on human well-being and the integral development of individuals.

The aim is to analyze the role of artificial intelligence in the transformation of contemporary society and to propose a humanistic approach that allows for its responsible development. It is based on the hypothesis that AI does not necessarily lead to dehumanization, but rather, under appropriate ethical principles, can contribute to expanding human capabilities and strengthening social cooperation.

1. Contemporary technological transformation:  Artificial intelligence is part of a broader technological revolution characterized by digitization, big data analytics, and process automation. These transformations have profoundly altered knowledge production and decision-making in various sectors (Brynjolfsson and McAfee, 2014).

In the medical field, for example, AI systems improve diagnostic accuracy by analyzing large volumes of clinical data. In education, they facilitate personalized learning through adaptive systems. In economics, they drive new forms of production and work organization. However, these advances also generate tensions. Automation poses risks to certain jobs, while the concentration of technological power in large corporations can affect equity and democratic governance (Zuboff, 2019). Consequently, the analysis of AI cannot be limited to its technical efficiency but must include its social, political, and ethical implications.

2. The concept of technological humanism:  Technological humanism proposes a reinterpretation of the humanist tradition within the context of the digital revolution. Historically, humanism has championed the centrality of the human being, the dignity of the person, and the importance of cultural and intellectual development. In the current context, these principles must be adapted to an environment where smart technologies play a central role.

According to Floridi (2014), information ethics provides a conceptual basis for this approach, considering digital technologies as part of the moral environment in which human actions unfold. From this perspective, technology is not neutral; rather, it incorporates human values ​​and decisions in its design and application. Technological humanism maintains that innovation should be geared toward expanding human capabilities, not replacing them entirely. This implies designing systems that promote autonomy, access to knowledge, and social participation.

3. Artificial intelligence as an extension of human capabilities:  one of the most constructive interpretations of AI is to consider it a tool for cognitive augmentation. Instead of replacing humans, intelligent systems can enhance their capacity for analysis, creativity, and decision-making (Russell and Norvig, 2021).

For example, in the scientific field, AI enables the identification of complex patterns in large datasets, accelerating the discovery of new knowledge. In medicine, it supports professionals in the interpretation of diagnostic images. In education, it facilitates personalized learning. This approach aligns with the idea of ​​“augmented intelligence,” in which collaboration between humans and machines produces better results than either can achieve alone. From this perspective, AI is not an inherent threat, but rather a tool whose impact depends on its design and use.

4. Ethical and social challenges:  Despite its potential, artificial intelligence poses significant challenges. Among the most relevant are:

The concentration of technological power can generate inequalities in access to resources and opportunities. Large technology companies have a growing influence on the global economy and politics (Zuboff, 2019).

The automation of work, which can displace certain occupations and require processes of social and educational adaptation.

The protection of privacy, especially in contexts of digital surveillance and massive use of personal data.

Algorithmic biases, which can reproduce or amplify existing inequalities if not properly controlled (O'Neil, 2016).

These challenges highlight the need for regulatory and ethical frameworks that guide technological development towards the common good.

5. Principles for a new technological humanism: Based on the above, it is possible to propose some guiding principles:

First, the centrality of human dignity, understood as respect for autonomy, fundamental rights and the capacity for self-determination.

Second, equitable access to technology, ensuring that the benefits of scientific progress are not concentrated in privileged sectors.

Third, algorithmic transparency, which allows for understanding and evaluating the functioning of AI systems.

Fourth, ethical responsibility, which implies that technology developers and users take responsibility for the consequences of their decisions.

Fifth, comprehensive education, which combines technical training with critical thinking and humanistic values.

These principles must not only be formulated, but also translated into concrete public policies, legal frameworks, and institutional practices.

Conclusions:  Artificial intelligence represents a structural transformation that will profoundly influence 21st-century society. Its impact is not limited to the technological sphere, but affects fundamental dimensions of human life.

Scientific progress, however, is not neutral. It requires ethical frameworks that guide its development toward collective well-being. In this sense, technological humanism offers a valuable perspective by proposing an integration between innovation and human values.

AI can contribute to expanding human capabilities if it is designed and used responsibly. The main challenge lies not only in developing more advanced technologies, but in ensuring that these technologies strengthen dignity, freedom, and social justice.

Ultimately, the future of artificial intelligence will depend on the human decisions that guide its development. True technological progress will be that which harmonizes the advancement of knowledge with respect for the human condition.

References (basic format)

  • Brynjolfsson, E., y McAfee, A. (2014). The Second Machine Age.
  • Floridi, L. (2014). The Fourth Revolution: How the Infosphere is Reshaping Human Reality.
  • Floridi, L. et al. (2018). “AI4People: An Ethical Framework for a Good AI Society”.
  • O’Neil, C. (2016). Weapons of Math Destruction.
  • Russell, S., y Norvig, P. (2021). Artificial Intelligence: A Modern Approach.
  • Zuboff, S. (2019). The Age of Surveillance Capitalism.
Copyright © 2026
Josavere