Christopher Summerfield
Biographic Data
| ID | 1809045 |
|---|---|
| NAME | Christopher Summerfield |
| GIVEN NAMES | Christopher |
| FAMILY NAME | Summerfield |
| SIGNATURE | SUMMERFIELD C |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0002-2941-2653 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
The impact of advanced AI systems on democracy
Using games to understand the mind
Human-centred mechanism design with Democratic AI
Building artificial intelligence (AI) that aligns with human values is an unsolved problem. Here we developed a human-in-the-loop research pipeline called Democratic AI, in which reinforcement learning is used to design a social mechanism that humans prefer by majority. A large group of humans played an online investment game that involved deciding whether to keep a monetary endowment or to share it with others for collective benefit. Shared reve…
How does value distract
Selective overweighting of larger magnitudes during noisy numerical comparison
Confidence matching in group decision-making
Metacognition in human decision-making: Confidence and error monitoring
People are capable of robust evaluations of their decisions: they are often aware of their mistakes even without explicit feedback, and report levels of confidence in their decisions that correlate with objective performance. These metacognitive abilities help people to avoid making the same mistakes twice, and to avoid overcommitting time or resources to decisions that are based on unreliable evidence. In this review, we consider progress in cha…
Expectation (and attention) in visual cognition
Human-centred mechanism design with Democratic AI
Building artificial intelligence (AI) that aligns with human values is an unsolved problem. Here we developed a human-in-the-loop research pipeline called Democratic AI, in which reinforcement learning is used to design a social mechanism that humans prefer by majority. A large group of humans played an online investment game that involved deciding whether to keep a monetary endowment or to share it with others for collective benefit. Shared reve…
Using games to understand the mind
Selective overweighting of larger magnitudes during noisy numerical comparison
Confidence matching in group decision-making
Expectation (and attention) in visual cognition
Metacognition in human decision-making: Confidence and error monitoring
People are capable of robust evaluations of their decisions: they are often aware of their mistakes even without explicit feedback, and report levels of confidence in their decisions that correlate with objective performance. These metacognitive abilities help people to avoid making the same mistakes twice, and to avoid overcommitting time or resources to decisions that are based on unreliable evidence. In this review, we consider progress in cha…
Selective overweighting of larger magnitudes during noisy numerical comparison
Confidence matching in group decision-making
How does value distract
Human-centred mechanism design with Democratic AI
Building artificial intelligence (AI) that aligns with human values is an unsolved problem. Here we developed a human-in-the-loop research pipeline called Democratic AI, in which reinforcement learning is used to design a social mechanism that humans prefer by majority. A large group of humans played an online investment game that involved deciding whether to keep a monetary endowment or to share it with others for collective benefit. Shared reve…
Using games to understand the mind
The impact of advanced AI systems on democracy
Psychology (6 works) · Computer Science (5 works) · Cognitive psychology (3 works) · Mathematics (3 works) · Statistics (3 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Cognitive science (2 works) · Decision-Making and Behavioral Economics (2 works) · Democracy (2 works)