Consciousness and Artificial Intelligence

6.

The Problem of Verification: Testing for Machine Consciousness

6.1.

Limitations of Behavioral Tests

6.1.1.

Beyond the Turing Test

6.1.1.1.

Alternative Approaches

6.1.1.2.

Consciousness-Specific Tests

6.1.1.3.

Multi-Modal Assessment

6.1.2.

The Problem of Deception and Mimicry

6.1.2.1.

Superficial vs. Genuine Responses

6.1.2.2.

Clever Hans Effect

6.1.2.3.

Gaming the System

6.1.3.

The "Philosophical Zombie" AI

6.1.3.1.

Behavioral Indistinguishability

6.1.3.2.

Functional Equivalence

6.1.3.3.

6.2.

Proposed Tests and Metrics

6.2.1.

Consciousness-Specific Turing Tests

6.2.1.1.

Phenomenal vs. Functional Testing

6.2.1.2.

Qualia-Based Questions

6.2.1.3.

Subjective Report Assessment

6.2.2.

Probing for Phenomenal Reports

6.2.2.1.

Self-Report Mechanisms

6.2.2.2.

Introspective Accuracy

6.2.2.3.

Consistency Checks

6.2.3.

Measuring Information Integration (Phi)

6.2.3.1.

Quantitative Assessment

6.2.3.2.

Network Analysis

6.2.3.3.

Dynamic Measurements

6.2.4.

Neurophenomenology for AI

6.2.4.1.

Bridging First-Person and Third-Person Data

6.2.4.2.

Phenomenological Methods

6.2.4.3.

Micro-Phenomenology

6.2.5.

Mirror Self-Recognition Tests

6.2.5.1.

Artificial Mirror Tests

6.2.5.2.

Self-Recognition Protocols

6.2.5.3.

6.2.6.

Metacognitive Tests

6.2.6.1.

Confidence Judgments

6.2.6.2.

Error Monitoring

6.2.6.3.

Strategy Awareness

6.3.

The "Other Minds" Problem in AI

6.3.1.

Epistemological Barriers

6.3.1.1.

Limits of Inference

6.3.1.2.

Asymmetry of Access

6.3.1.3.

Verification Challenges

6.3.2.

The Inaccessibility of First-Person Experience

6.3.2.1.

Private vs. Public Data

6.3.2.2.

Subjective vs. Objective

6.3.2.3.

Phenomenological Irreducibility

6.3.3.

The Leap of Faith

6.3.3.1.

Pragmatic Approaches

6.3.3.2.

Charitable Interpretation

6.3.3.3.

Functional Equivalence

6.3.4.

Analogical Reasoning

6.3.4.1.

Similarity Arguments

6.3.4.2.

Evolutionary Continuity

6.3.4.3.

Structural Correspondence

6.4.

Empirical Approaches

6.4.1.

Neural Signature Detection

6.4.1.1.

6.4.1.2.

fMRI Correlates

6.4.1.3.

Neuromorphic Measurements

6.4.2.

Behavioral Markers

6.4.2.1.

Attention Patterns

6.4.2.2.

Learning Characteristics

6.4.2.3.

Adaptive Responses

6.4.3.

Computational Markers

6.4.3.1.

Information Processing Patterns

6.4.3.2.

Network Dynamics

6.4.3.3.

Emergence Indicators

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