Christopher Mouton
Biographic Data
| ID | 5123554 |
|---|---|
| NAME | Christopher Mouton |
| GIVEN NAMES | Christopher |
| FAMILY NAME | Mouton |
| SIGNATURE | MOUTON C |
| AFFILIATIONS | RAND Corporation |
| ORCID | 0000-0002-1449-2187 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
How to identify and address the real-world risks of large language models
The Operational Risks of AI in Large-Scale Biological Attacks
In this report, the authors address the emerging issue of identifying and mitigating the risks posed by the misuse of artificial intelligence (AI)—specifically, large language models—in the context of biological attacks and present preliminary findings of their research. They find that while AI can generate concerning text, the operational impact is a subject for future research
Racial Discrimination and Breast Cancer Incidence in US Black Women
Perceived discrimination may contribute to somatic disease. The association between perceived discrimination and breast cancer incidence was assessed in the Black Women's Health Study. In 1997, participants completed questions on perceived discrimination in two domains: "everyday" discrimination (e.g., being treated as dishonest) and major experiences of unfair treatment due to race (job, housing, and police). Cox proportional hazards models were…
Menthol cigarette smoking in African Americans and whites
No prominent works on this page.
Menthol cigarette smoking in African Americans and whites
Racial Discrimination and Breast Cancer Incidence in US Black Women
Perceived discrimination may contribute to somatic disease. The association between perceived discrimination and breast cancer incidence was assessed in the Black Women's Health Study. In 1997, participants completed questions on perceived discrimination in two domains: "everyday" discrimination (e.g., being treated as dishonest) and major experiences of unfair treatment due to race (job, housing, and police). Cox proportional hazards models were…
The Operational Risks of AI in Large-Scale Biological Attacks
In this report, the authors address the emerging issue of identifying and mitigating the risks posed by the misuse of artificial intelligence (AI)—specifically, large language models—in the context of biological attacks and present preliminary findings of their research. They find that while AI can generate concerning text, the operational impact is a subject for future research
How to identify and address the real-world risks of large language models
Business (2 works) · Computer Science (2 works) · Data science (2 works) · Medicine (2 works) · Advertising (1 work) · Archaeology (1 work) · Art (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Breast cancer (1 work)