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AI Safety
Research
Landscape
2026

A comprehensive survey of alignment techniques, governance frameworks, and emerging risks in advanced AI systems. Mapping the territory between capability and safety.

Key Findings
  • Scalable oversight methods have shown measurable improvements in catching subtle misalignment in large language models, with debate-based protocols outperforming RLHF baselines by 34%.
  • Mechanistic interpretability research has identified reliable circuits for deception detection in transformer architectures up to 70B parameters.
  • International governance coordination remains fragmented, with only 12 of 38 major AI-producing nations adopting binding safety evaluation standards.
  • Compute governance proposals face implementation challenges, but hardware-level safety mechanisms are gaining traction among chip manufacturers.
847
Published Alignment Papers
$2.1B
Safety Funding
38
Active Research Labs
12
Nations with Binding Standards

Research Areas

Scalable Oversight

Developing methods for humans to supervise AI systems that may exceed human-level performance on specific tasks. Includes debate, recursive reward modeling, and market-based approaches.

Alignment

Mechanistic Interpretability

Reverse-engineering neural network computations to understand learned algorithms. Circuit-level analysis reveals how models represent and process information.

Interpretability

Governance Frameworks

Designing institutional structures and policy mechanisms for responsible AI development. International coordination, compute governance, and liability regimes.

Policy

Robustness & Adversarial Safety

Ensuring AI systems behave reliably under distribution shift and adversarial attack. Formal verification methods and red-teaming protocols.

Security

Eval Design

Benchmarks for dangerous capabilities.

Measurement

Agent Foundations & Decision Theory

Theoretical work on the fundamental nature of goal-directed systems. Logical uncertainty, embedded agency, and value learning as formal problems.

Theory
AI Safety Research Project
2026 Survey Data Back to Gallery