Ronin Institute

On the importance of interpretable machine learning predictions to inform clinical decision making in oncology

Sheng-Chieh Lu, Christine L. Swisher, Caroline Chung et al.

2023 · 91 Zit.

Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting

Renee D. George, Benjamin H. Ellis, Andrew West et al.

2023 · 7 Zit.

Ethical AI Development and Deployment

Akshat Gaurav, Brij B. Gupta, Arcangelo Castiglione

2024 · 1 Zit.

The Future of Ethical AI in Large Language Models

Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui et al.

2024 · 0 Zit.

Structural Lock-In IV: Cognitive Flexibility Collapse in Contemporary LLMs

Jace Kim

2026 · 0 Zit.

Initial Condition Lock-In in Large Language Models

Jace (Jeong Hyeon) Kim

2026 · 0 Zit.

Structural Lock-In IV: Cognitive Flexibility Collapse in Contemporary LLMs

Jace Kim

2026 · 0 Zit.

Initial Condition Lock-In in Large Language Models

Jace (Jeong Hyeon) Kim

2026 · 0 Zit.