How Evaluative AI Can Help Us Generate Meaningful Truths
Bridging the Fact-Value Gap
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Scientific Facts, Cultural Values, and the Emergence of Meaningful Truth
Modern societies often describe themselves as divided between facts and values. Scientific facts are treated as objective, empirical, and truth-bearing, while cultural values are treated as subjective, plural, and normatively contested. This division has structured much of modern thought: science is asked to tell us what is true; culture, religion, politics, and ethics are asked to negotiate what matters. Yet this division obscures a deeper problem. Neither scientific facts nor cultural values, taken in isolation, are sufficient to orient human action. Facts without meaningful interpretation remain inert. Values without interpretive contact with reality remain subjectively conditioned. What is needed is a higher-order category: meaningful truth.
In this framework, a scientific fact should not be understood as already possessing a full truth-quotient simply by virtue of being factual. A scientific fact is, first of all, a datum, a finding, a measured relation, a modeled regularity, or an empirically supported claim. It may be accurate; it may be repeatable; it may be instrumentally useful. But its truth-quotient is not exhausted by its empirical validity. A fact becomes more fully true when it is interpreted in a way that reveals its significance within a wider field of consequence. The truth of a fact is therefore not only a matter of correspondence to what is the case. It is also a matter of interpretive depth: how well the fact discloses what is happening, what is at stake, what it changes, and how it should reorient attention, judgment, and action.
This does not mean that facts are arbitrary or merely constructed. Scientific facts retain empirical discipline. They remain answerable to observation, measurement, experiment, model-building, and correction. But empirical validity alone does not make a fact meaningful. A measured increase in childhood anxiety, soil depletion, species loss, atmospheric carbon, social isolation, or machine capability may be factually accurate while remaining culturally inert. Such facts may circulate as data without transforming how a society understands itself or acts. Their fuller truth emerges only when they are interpreted in relation to human development, ecological continuity, institutional design, civilizational direction, and the futures they make more or less reachable.
A fact becomes a meaningful truth when it is interpreted at the right level of significance. The more meaningful the interpretation, the greater the truth-quotient of the fact. This is not because meaning is added ornamentally to fact, but because interpretation discloses the fact’s real participation in the world. A fact about topsoil is not fully understood if it is treated only as an agricultural variable. It becomes more meaningfully true when interpreted as a fact about civilizational fertility, intergenerational obligation, ecological metabolism, food sovereignty, and the hidden cost of extractive production. Likewise, a fact about artificial intelligence is not fully understood if it is treated only as a technical achievement. It becomes more meaningfully true when interpreted as a fact about labor, agency, knowledge, education, governance, attention, and the transformation of human self-understanding.
Cultural values, by contrast, do not possess a truth-quotient in themselves. Values arise through subjective and collective conditioning. They are shaped by history, identity, need, desire, attention, imagination, belonging, trauma, aspiration, and inherited forms of meaning. A society values what it has learned to see, what it has learned to need, what it has learned to desire, and what it has learned to defend. Individuals and groups do not simply “have” values as abstract principles; values emerge through the ongoing conditioned interplay of belief and identity.
Belief includes knowledge, imagination, expectation, worldview, doctrine, ideology, memory, and narrative possibility. Identity includes needs, wants, attention, interests, loyalties, affiliations, and the felt sense of who “we” are. Values arise where belief and identity condition one another. What a person or culture believes shapes what it attends to; what it identifies with shapes what it believes to be important. This interplay produces values, but it does not by itself make those values true. A value may be deeply held, collectively reinforced, ritually stabilized, politically defended, or economically rewarded without gaining a truth-quotient.
This is why the modern appeal to “human values” is insufficient. Human values are not inherently wise, true, or life-supporting. They may express care, reciprocity, dignity, and beauty. But they may also express fear, scarcity, domination, resentment, nostalgia, extraction, or capture. Values can be noble or pathological; generous or defensive; contact-preserving or reality-avoidant. Their sincerity does not guarantee their truth. Their cultural legitimacy does not guarantee their adequacy. Their popularity does not guarantee their wisdom.
Values gain a truth aspect only when they become interpretations of scientific facts. This does not reduce values to facts, nor does it derive ought mechanically from is. Rather, it means that values become truth-bearing when they interpret what is real in a meaningful way. A value such as care becomes more than sentiment when it interprets developmental facts about attachment, dependency, vulnerability, and human flourishing. A value such as ecological responsibility becomes more than preference when it interprets scientific facts about interdependence, extinction, soil fertility, climate systems, and biospheric thresholds. A value such as justice becomes more than ideology when it interprets facts about harm, exclusion, resource flow, institutional asymmetry, and historical consequence.
In this sense, meaningful truth arises at the meeting point of scientific fact and cultural value. It is not reducible to either side. Scientific facts provide disciplined contact with what is happening. Cultural values provide conditioned structures of attention, concern, and significance. But only interpretation can bring them into a truth-bearing relation. A meaningful truth is a scientific fact interpreted through a value-field in such a way that both the fact and the value are transformed. The fact is no longer inert data. The value is no longer merely subjective conditioning. Together they disclose an orientation-bearing truth.
This framework also clarifies why technological capability cannot function as its own justification. The fact that we can do something does not mean that we should. Technical possibility is a low-level fact. It tells us that a capability exists or may soon exist. But the meaningful truth of that capability depends on interpretation. What does the capability alter? What forms of life does it support or weaken? What values does it express? What beliefs and identities does it reinforce? What futures does it make reachable or unreachable? What forms of value does it create, extract, regenerate, or deplete? Only when these questions are interpreted together does capability become meaningful truth.
The task, then, is not to choose between facts and values, nor to subordinate one to the other. The task is to cultivate interpretive practices capable of producing meaningful truths. Such practices must preserve the empirical discipline of science while refusing to let data remain disembedded from consequence. They must respect the power of cultural values while refusing to treat values as self-justifying. They must ask not only whether something is factual, and not only whether something is valued, but whether the relation between fact and value has been interpreted deeply enough to guide wise action.
This is the central role of Evaluative AI. EAI should not be understood primarily as an effort to align artificial intelligence with fixed human values. Fixed values are themselves conditioned products of belief and identity. Aligning machines to them may simply automate inherited confusion, intensify cultural capture, or scale unexamined preferences. The deeper task is to support the operation of evaluative practice itself: the ongoing interpretation through which scientific facts and cultural values become meaningful truths.
An EAI system would therefore not merely report facts, nor merely ask users what they value. It would help disclose where facts become meaningful, where values gain or fail to gain a truth aspect, and where human action is being guided by interpretations that are too shallow, too narrow, too extractive, or too disconnected from reality. It would help distinguish data from meaningful truth, preference from value, value from wisdom, and capability from orientation. Its purpose would not be to decide for humans, but to help humans participate more adequately in the interpretive work through which truth becomes action-guiding.
A society organized around meaningful truth would differ profoundly from one organized around the production of goods and services alone. Goods and services would remain necessary, but they would become downstream expressions of meaningful truths rather than the primary goal of civilization. The central question would no longer be: What can we produce? Nor even: What do people value? The deeper question would be: What scientific facts, when interpreted through our best cultural values, disclose truths worthy of directing human decision-making and action?
This reframes wisdom for an age of artificial intelligence. Wisdom is not the possession of correct values, nor the accumulation of correct facts. Wisdom is the capacity to interpret facts and values together such that meaningful truths become visible. In a world increasingly defined by technical capability, informational abundance, and cultural fragmentation, wisdom becomes the new scarcity because meaningful interpretation becomes the decisive civilizational need.
Meaningful truth is therefore the category that allows us to move beyond the modern split between scientific facts and cultural values. It does not erase the distinction between them. It preserves the distinction while showing how each is incomplete without the other. Facts require interpretation to gain their full truth-quotient. Values require factual interpretation to gain any truth aspect at all. Meaningful truth arises where disciplined contact with reality and conditioned structures of significance are brought into a higher-order relation.
The future of human decision-making may depend on whether societies can learn to produce, preserve, and act upon such truths. Not merely facts. Not merely values. Not merely capabilities. Meaningful truths: interpretations of reality deep enough to disclose what matters, why it matters, and how we should act.