Core capabilities
Hypothesis generation, relationship discovery, causal reasoning, theory-formation support and recursive knowledge evolution.
PROPOSED FRAMEWORK · SCHOLARLY RECORD 2026
SIXTH GENERATION OF DIGITAL TRANSFORMATION · 6GDT
What can be inferred, questioned or discovered from what is already known?
Inferential Intelligence is a proposed capability for AI-supported systems that connect evidence, reveal relationships, form and test hypotheses, question causality and help humans discover what is not yet obvious.
FORMAL DEFINITION
From generation toward inference.
The Sixth Generation of Digital Transformation is an organizational paradigm in which Human–AI systems convert evidence into hypotheses, validated inference, human judgment and sustainable value.
Central distinction: G5 primarily generates; G6 must be able to discover, explain, undergo validation and remain accountable for decision consequences.
SIX-LAYER ARCHITECTURE
A capability model for discovery and decision-making.
01Data & Reality
02Cognitive AI
03Inferential Intelligence
04Human–AI Collaboration
05Validation & Governance
06Knowledge Evolution & Value
Human role
Humans retain final judgment, ethical responsibility, purpose-setting, contextual interpretation and accountability.
Applications
Business Intelligence, universities, economy, transportation, climate, health and public governance.
Suggested citation
Khorami, S. (2026). Toward the Sixth Generation of Digital Transformation: From Generative Intelligence to Inferential Intelligence. Aposta. https://doi.org/10.23900/ra.v24i116.1500