Artificial Intelligence and Unencoded Values

Today, artificial intelligence is more than just a tool for data processing algorithmic computation and technical advancement; it is creating a multifaceted transformation that challenges fundamental aspects of human life culture ethical values and social relationships. In this context the phrase “unencoded values” emphasizes that human experiential emotional and social heritage cannot be captured by algorithms and digital models. A deep reflection on the limits and potential of artificial intelligence from both philosophical and social perspectives lays the groundwork for new paradigms that will shape the future.

In contemporary society artificial intelligence is opening up profound transformations in economic cultural and social domains. Within this transformation unencoded values emerges as the human being’s personal cultural and emotional heritage.

Unencoded Values

Cultural Norms and Social Relationships

Artificial intelligence applications reshape individual communication patterns and social interactions in areas such as social media automation and data analytics. However because algorithms operate solely within mathematical and logical frameworks they fail to fully reflect cultural richness emotional depth and subjectivity. In human relationships the importance of elements such as conscience and individuality points to the existence of unencoded values.

Economic and Political Transformation

Artificial intelligence’s impact on labor markets production processes and even political decision mechanisms leads to the reorganization of social power relations. As Andrew Feenberg notes technology not only enhances efficiency but also carries risks of deepening social inequality. This situation seeks to highlight the importance of unencoded values by arguing that human cultural and ethical values are not fully transferable to technological systems.

Individual and Collective Consciousness

Humans possess unique consciousness and subjectivity shaped by their experiences and social interactions. Artificial intelligence systems however can only simulate this profound human experience through superficial behaviors. At this point beyond Descartes’ concept of “thinking” the complexity and uniqueness of human consciousness emerge as unencoded values that cannot be programmed by artificial intelligence.

Philosophical Foundations: Classical and Contemporary Approaches

Descartes’ Inquiry into Subjectivity

René Descartes through the phrase “I think therefore I am” established the foundation of human consciousness while emphasizing the distinction between mind and body. Descartes’ approach reveals the difficulty of simulating the human inner experience emotions thoughts and free will through mechanical computation. While artificial intelligence systems can mimic external behaviors they struggle to capture the depth of subjectivity proposed by Descartes.

Spinoza’s Holistic Understanding

Baruch Spinoza argues that everything in the universe is part of a single whole. Spinoza’s perspective seeks to demonstrate that human existence is not merely a matter of reason execution and calculation but is also integrated with emotional aesthetic and ethical dimensions.

Kant’s Emphasis on Morality and Free Will

Immanuel Kant while discussing the limits of reason and the necessity of universal morality laws argues that human behavior is shaped not only by rational calculations but also by moral sentiment and ethical values. Kant’s ideas bring to the forefront the question of how human moral and ethical norms can be integrated into the design of artificial intelligence systems.

Don Ihde and Andrew Feenberg’s Critiques of Technology

Among the leading figures of contemporary philosophy of technology Don Ihde questions how technology shapes human experience and its interaction with the world. According to Ihde technological tools are not merely functional instruments but also value actors that shape how humans perceive the world form judgments and construct social relationships. Similarly Andrew Feenberg argues that technology involves dynamic processes that transform social structures and reorganize power relations. Feenberg’s critiques underscore the necessity of incorporating ethical and social norms in the development of artificial intelligence systems.

Hubert Dreyfus’ Phenomenological Critiques

Hubert Dreyfus contends that artificial intelligence remains confined to formal rules and cannot fully replicate human embodied experience and intuitive abilities. Dreyfus’ view argues that the common sense developed by humans through environmental interactions experiences and emotional contexts cannot be fully captured by artificial intelligence.

New Paradigms and Future Perspectives

In today’s rapidly changing world artificial intelligence must transcend its role as merely a technical vehicle and become an integrated building grounded in social and philosophical values. The essential steps required are as follows:

Interdisciplinary Approaches

At the intersection of Philosophy sociology ethics neuroscience and computer science new approaches must be developed to understand how artificial intelligence reshapes human experience. The perspectives of thinkers such as Don Ihde and Andrew Feenberg can serve as guiding frameworks for this integration process.

New Ethical and Social Frameworks

The social transformation brought about by artificial intelligence must be grounded not only in technical success but also in the preservation of fundamental ethical values such as justice equality and transparency. Kant’s universal moral law and Dreyfus’ embodied experience critiques highlight the necessity of implementing technology in a way that upholds human values.

Encoding Original Values

Human experience encompasses the richness of historical cultural and emotional heritage. Developing artificial intelligence systems capable of understanding and reflecting these “unencoded” values may enable the creation of technological models that preserve not only rational computation but also original creativity and subjectivity.

A continuous perspective stretching from Descartes’ notion of subjectivity to Spinoza’s holism from Kant’s universal morality to the critical approaches of contemporary thinkers such as Don Ihde Andrew Feenberg Peter-Paul Verbeek and Hubert Dreyfus helps us understand the limits and potential of artificial intelligence. The views of these great thinkers aim to demonstrate that the transformations brought by today’s technology cannot be limited to calculable data but require the integration of human experiential and social values into technological systems.