Stuart Russell
Biographic Data
| ID | 3941504 |
|---|---|
| NAME | Stuart Russell |
| GIVEN NAMES | Stuart |
| FAMILY NAME | Russell |
| SIGNATURE | RUSSELL S |
| AFFILIATIONS | Berkeley College |
| ORCID | 0000-0003-0282-4970 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 14 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Predicting human decisions with behavioural theories and machine learning
AI content detection in the emerging information ecosystem
The world is about to be swamped by an unprecedented wave of AI-generated content. We need reliable ways of identifying such content, to supplement the many existing social institutions that enable trust between people and organisations and ensure social resilience. In this paper, we begin by highlighting an important new development: providers of AI content generators have new obligations to support the creation of reliable detectors for the con…
Generative AI models should include detection mechanisms as a condition for public release
The new wave of ‘foundation models’—general-purpose generative AI models, for production of text (e.g., ChatGPT) or images (e.g., MidJourney)—represent a dramatic advance in the state of the art for AI. But their use also introduces a range of new risks, which has prompted an ongoing conversation about possible regulatory mechanisms. Here we propose a specific principle that should be incorporated into legislation: that any organization developin…
If We Succeed
Since its inception, AI has operated within a standard model whereby systems are designed to optimize a fixed, known objective. This model has been increasingly successful. I briefly summarize the state of the art and its likely evolution over the next decade. Substantial breakthroughs leading to general-purpose AI are much harder to predict, but they will have an enormous impact on society. At the same time, the standard model will become progre…
It is a complicated thing
Students as partners (SaP) is gaining momentum as both a practice and as a subject of analytic inquiry. This study draws on interviews to explore how formal, senior leaders responsible for teaching and learning conceptualise and imagine the implementation of SaP. While leaders saw SaP as occurring within a range of activities, the concept was typically discussed in terms of quality assurance activities, seldom conceived outside of a neoliberal di…
Attacks on Lawyers
Globalisation, Lawyers and the State
The Continuing Relevance of Marxism to Critical Criminology
The failure of postmodern criminology
The Continuing Relevance of Marxism to Critical Criminology
It is a complicated thing
Students as partners (SaP) is gaining momentum as both a practice and as a subject of analytic inquiry. This study draws on interviews to explore how formal, senior leaders responsible for teaching and learning conceptualise and imagine the implementation of SaP. While leaders saw SaP as occurring within a range of activities, the concept was typically discussed in terms of quality assurance activities, seldom conceived outside of a neoliberal di…
The failure of postmodern criminology
The failure of postmodern criminology
The Continuing Relevance of Marxism to Critical Criminology
Globalisation, Lawyers and the State
Attacks on Lawyers
It is a complicated thing
Students as partners (SaP) is gaining momentum as both a practice and as a subject of analytic inquiry. This study draws on interviews to explore how formal, senior leaders responsible for teaching and learning conceptualise and imagine the implementation of SaP. While leaders saw SaP as occurring within a range of activities, the concept was typically discussed in terms of quality assurance activities, seldom conceived outside of a neoliberal di…
If We Succeed
Since its inception, AI has operated within a standard model whereby systems are designed to optimize a fixed, known objective. This model has been increasingly successful. I briefly summarize the state of the art and its likely evolution over the next decade. Substantial breakthroughs leading to general-purpose AI are much harder to predict, but they will have an enormous impact on society. At the same time, the standard model will become progre…
Generative AI models should include detection mechanisms as a condition for public release
The new wave of ‘foundation models’—general-purpose generative AI models, for production of text (e.g., ChatGPT) or images (e.g., MidJourney)—represent a dramatic advance in the state of the art for AI. But their use also introduces a range of new risks, which has prompted an ongoing conversation about possible regulatory mechanisms. Here we propose a specific principle that should be incorporated into legislation: that any organization developin…
AI content detection in the emerging information ecosystem
The world is about to be swamped by an unprecedented wave of AI-generated content. We need reliable ways of identifying such content, to supplement the many existing social institutions that enable trust between people and organisations and ensure social resilience. In this paper, we begin by highlighting an important new development: providers of AI content generators have new obligations to support the creation of reliable detectors for the con…
Predicting human decisions with behavioural theories and machine learning
Computer Science (5 works) · Political science (5 works) · Sociology (5 works) · Law (4 works) · Artificial Intelligence (3 works) · Data science (3 works) · Epistemology (3 works) · Business (2 works) · Criminal Justice and Corrections Analysis (2 works) · Ethics and Social Impacts of AI (2 works)