Ashton Anderson
Associate Professor
Analyzes large-scale social and behavioral data, including human-like chess AI (Maia) and online community dynamics.
Ashton Anderson's lab at Toronto works on social computing & responsible AI and computational social science. 26 papers since 2023, 13 at top venues, mostly CHI and ICWSM. 5 PhD students. 22 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 50%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 22
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 6 · collecting
- 6 papers2025 · T1 4
- 4 papers2024 · T1 2
- 4 papers2023 · T1 1
T1 venuesOtherVenues: CHI, ICWSM, AAAI/ACM AIES, ACL, ICLR
Research focuspaper titles that use each topic's words
- Social computing & responsible AI1 paper
- Computational social science1 paper
- community0 papers
- behavioral data0 papers
- behavioral0 papers
Paper list
From the lab homepage.
202612 papers
- AAAI/ACM AIESA Taxonomy of Value Alignment Problems: Subproblems and Solutions
- ICLR (T1)Chessformer: A Unified Architecture for Chess Modeling
- CACMFrom Model Training to Model Raising
- CHI (T1)Invisible Saboteurs: Sycophantic LLMs Mislead Novices in Problem-Solving Tasks
- IASEAILanguage Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human Experts
- FAccTLarge Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship
- TMLR (T1)Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
- ACL (T1)LLM Safety From Within: Detecting Harmful Content with Internal Representations
- ICML (T1)Position: We Need Large Language Models Optimized For Our Well-Being
- AAAI/ACM AIESStudying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics
- EACLTandem Training for Language Models
- CHI (T1)When AI Gives Advice: Evaluating AI and Human Responses to Online Advice-Seeking for Well-Being
20256 papers
- ICWSMCapturing Dynamics in Online Public Discourse: A Case Study of Universal Basic Income Discussions on Reddit
- ACL (T1)ChatBench: From Static Benchmarks to Human-AI Evaluation
- CHI (T1)Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking
- COLMSEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models
- WWW (T1)The Agenda-Setting Function of Social Media
- CHI (T1)To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models
20244 papers
- HCOMPDisclosures & Disclaimers: Investigating the Impact of Transparency Disclosures and Reliability Disclaimers on Learner-LLM Interactions
- NeurIPS (T1)Maia-2: A Unified Model for Human-AI Alignment in Chess
- ICLR (T1)pdf
- Findings of ACLSPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
20234 papers
- ICWSMEcho Tunnels: Polarized News Sharing Online Runs Narrow but Deep
- NeurIPS: R0-FoMo WorkshopICL-Markup: Structuring In-Context Learning using Soft-Token Tags
- CSCW (T1)People Perceive Algorithmic Assessments as Less Fair and Trustworthy Than Identical Human Assessments
- ICWSMReddit in the Time of COVID
Where alumni went22 listed
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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