RESEARCH BASE
Search 3,721 documents across 34 fields — every claim tier-rated by evidence
3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.
176 results for "artificial intelligence" — page 1 of 9
ZD_2_02 — Artificial Intelligence Foundations
Artificial intelligence (AI) — the field devoted to creating machines that exhibit intelligent behavior — was formally founded at the Dartmouth Conference (1956) organized by John McCarthy, Marvin Minsky, Nathaniel Roche
ZD_2_07 — Artificial General Intelligence — Architectures and Challenges
Artificial General Intelligence (AGI) — a hypothetical AI system capable of performing any intellectual task that a human can, with the same flexibility, generality, and ability to learn and transfer knowledge across dom
P_1_17 — Artificial Intelligence and the Consciousness Question
The question of whether artificial systems can possess consciousness — genuine subjective experience, phenomenal awareness, or "something it is like" to be that system (Thomas Nagel, 1974) — has moved from philosophical
ZE_3_09 — Ethics of Artificial Intelligence and Machine Consciousness
AI ethics examines the moral dimensions of creating systems that can reason, learn, and act autonomously. The field emerged from theoretical foundations (Turing's "Computing Machinery and Intelligence," 1950) but became
S_1_01 — Artificial General Intelligence and Existential Risk
Artificial General Intelligence — a system with human-level or greater cognitive capabilities across ALL domains — may be the most consequential invention in human history. Current foundational AI systems (GPT-4, Claude,
ZD_5_06 — Knowledge Representation: Ontologies, Semantic Web, and Knowledge Graphs
Knowledge representation (KR) is the field of artificial intelligence concerned with how to formally encode information about the world — facts, relationships, concepts, rules, and constraints — in formats that computer
R_5_01 — Artificial Life, Emergence, and Digital Evolution
Artificial life (ALife) is an interdisciplinary field studying life-as-it-could-be through computational, chemical, and robotic systems that exhibit lifelike behaviors — self-replication, evolution, emergence, and adapta
S_1_11 — Machine Learning and Deep Learning
Machine learning (ML) is the subfield of AI in which systems learn patterns from data rather than being explicitly programmed. Deep learning uses artificial neural networks with many layers (hence "deep") to learn hierar
ZE_5_20 — Ethics of Artificial Intelligence
The ethics of artificial intelligence addresses the moral, social, and existential challenges arising from the development and deployment of increasingly powerful AI systems. [KEY FINDING] Core issues span three horizons
K_3_01 — Machine Consciousness — Can AI Be Aware?
The question of machine consciousness — whether artificial systems can be genuinely aware rather than merely simulating awareness — stands at the intersection of philosophy of mind, neuroscience, and computer science. Jo
K_4_17 — Plant and Fungal Consciousness: Intelligence without Neurons
The question of whether plants and fungi possess forms of consciousness, intelligence, or cognition has moved from philosophical speculation to active scientific investigation. Plants exhibit sophisticated information pr
INTERDOC_32 — AI, Consciousness, and the Ethical Frontier
[KEY FINDING] The alignment problem — ensuring that artificial intelligence systems pursue goals aligned with human values — has moved from science fiction to mainstream AI safety research. Stuart Russell (Human Compatib
ZB_2_23 — Cephalopod Intelligence and Distributed Cognition
Cephalopods — octopuses, cuttlefish, squid, and nautiluses — represent one of evolution's most extraordinary experiments in intelligence, having diverged from the vertebrate lineage approximately 530 million years ago ye
ZC_3_22 — Fourth Industrial Revolution
The Fourth Industrial Revolution (4IR) is a framework articulated by Klaus Schwab (founder and executive chairman of the World Economic Forum) in his 2016 book The Fourth Industrial Revolution, describing a new phase of
G_1_08 — Machine Learning in Archaeology — Pattern Recognition in the Past
Machine learning (ML) — the subset of artificial intelligence in which algorithms learn patterns from data rather than being explicitly programmed — is transforming archaeological practice across every stage of research:
ZD_2_08 — Penrose and Computation: Non-Computability, Consciousness, and Gödel's Theorem
Roger Penrose (b. 1931), Nobel laureate in physics (2020, for demonstrating that black hole formation is a robust prediction of general relativity), has advanced an influential and controversial argument that human mathe
P_1_16 — AI Consciousness Philosophy: Can Machines Think, Feel, and Be Aware?
The question of whether artificial intelligence systems can be conscious — whether machines can genuinely think, have subjective experiences, or possess phenomenal awareness — is one of the deepest unsolved problems at t
P_1_10 — Philosophy of Technology
Philosophy of technology examines the nature, meaning, and ethical implications of technology — not merely as a collection of tools but as a fundamental mode of human existence that shapes perception, values, social rela
P_1_15 — Philosophy of Information: Floridi, Digital Ethics, and the Infosphere
The philosophy of information (PI) is a relatively young branch of philosophy that investigates the conceptual nature and basic principles of information, including its dynamics (computation, information flow), its utili
N_5_10 — Intelligence Agencies and Occult Interest: Documented Cases
The intersection of intelligence agencies and occult or paranormal phenomena is one of the most extensively documented — yet still controversial — chapters in 20th-century intelligence history. Declassified documents (pr
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