Khoja, Adam

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Li, N., Pan, A., Gopal, A., Yue, S., Berrios, D., Gatti, A., Li, J. D., Dombrowski, A.-K., Goel, S., Phan, L., et al. (2024) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 90

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

Remote Labor Index: Measuring AI Automation of Remote Work

Mazeika, M., Gatti, A., Menghini, C., Sehwag, U. M., Singhal, S., Orlovskiy, Y., Basart, S., Sharma, M., Peskoff, D., Lau, E., et al. (2025) · arXiv

Artificial Intelligence ApplicationsLabor market dynamics and wage inequality

Cited by 44

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

Ren, R., Basart, S., Khoja, A., Gatti, A., Phan, L., Yin, X., Mazeika, M., Pan, A., Mukobi, G., Kim, R. H., et al. (2024) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 10

A Definition of AGI

Hendrycks, D., Song, D., Szegedy, C., Lee, H., Gal, Y., Brynjolfsson, E., Li, S., Zou, A., Levine, L., Han, B., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 3