Research Category
AI Safety & Alignment
Specification, robustness, interpretability, and governance of advanced AI systems.
Papers in this category
Concrete Problems in AI Safety
2016 · arXivAmodei, Olah, Steinhardt, Christiano, Schulman, Mané
Foundational taxonomy of practical safety problems in modern ML systems.
Training Language Models to Follow Instructions with Human Feedback
2022 · OpenAI / NeurIPSOuyang et al.
Introduced InstructGPT and the now-standard RLHF pipeline for aligning LLMs with human intent.
Constitutional AI: Harmlessness from AI Feedback
2022 · AnthropicBai et al.
Trained a helpful, harmless assistant using AI-generated critiques guided by a written constitution.
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Artificial Intelligence
Architectures, training paradigms, and capabilities of modern machine-learning systems.
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Artificial General Intelligence
Theoretical foundations and empirical progress toward systems with broad cognitive competence.
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Cognitive Neuroscience
How the brain encodes perception, memory, prediction, and decision-making.
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Neurotechnology
Brain-computer interfaces, neural decoding, and devices that read or modulate the nervous system.
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Neurodivergence
Cognitive variation, atypical processing styles, and the neurobiology of difference.
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Human Intelligence
Psychometrics, learning, expertise, and the cognitive architecture of human thought.
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