CIRCLE: A Framework for Evaluating AI from a Real-World Lens | ScienceToStartup | ScienceToStartup

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References (53)

[1]

The AI Invisibility Effect: Understanding Human-AI Interaction When Users Don't Recognize Artificial Intelligence

2026Obada Kraishan

[2]

Simulating Psychological Risks in Human-AI Interactions: Real-Case Informed Modeling of AI-Induced Addiction, Anorexia, Depression, Homicide, Psychosis, and Suicide

2025Chayapatr Archiwaranguprok, Constanze Albrecht et al.

[3]

Founder's Pitch

"CIRCLE offers a new framework to evaluate AI in real-world contexts, enhancing decision-makers' ability to gauge AI technologies' real-world impacts beyond theoretical benchmarks."

AI Evaluation Framework•Score: 5•View PDF ↗

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Why It Matters

This research addresses critical challenges in its domain, enabling more effective and intelligent applications.

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Disruption

This approach could reduce reliance on expensive manual processes and replace less efficient generalized solutions.

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CIRCLE: A Framework for Evaluating AI from a Real-World Lens

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References (53)

Founder's Pitch

"CIRCLE offers a new framework to evaluate AI in real-world contexts, enhancing decision-makers' ability to gauge AI technologies' real-world impacts beyond theoretical benchmarks."

Commercial Viability Breakdown

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Why It Matters

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Disruption

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CIRCLE: A Framework for Evaluating AI from a Real-World Lens

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References (53)

Founder's Pitch

"CIRCLE offers a new framework to evaluate AI in real-world contexts, enhancing decision-makers' ability to gauge AI technologies' real-world impacts beyond theoretical benchmarks."

Commercial Viability Breakdown

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