Petitioning and Creating Rights: Judicialization in Argentina
Courts and the law are playing an increasingly important political role. Courts are redefining public policies decided by representative authorities, and citizens are using the law and rights-framed discourses as political tools to address private and social demands, as well...
Undergraduate Research at Vanderbilt
Upcoming Events MORE » Recent News Louisiana v. Callais and the Future of the Voting Rights Act Vanderbilt Kennedy Center announces 2025–26 Nicholas Hobbs Discovery Award recipients Vanderbilt engineers debut breakthrough wearable that reduces body armor burden Innovative drug delivery...
Clinics & Experiential Learning
At Vanderbilt Law School, we firmly believe that a comprehensive legal education extends beyond textbooks and lecture halls. Our dynamic legal clinics, enriching experiential learning programs, and open-ended externships
Ethical Considerations in Cloud AI: Addressing Bias and Fairness in Algorithmic Systems
Artificial intelligence systems deployed through cloud infrastructure have transformed numerous sectors while simultaneously raising critical ethical concerns regarding bias and fairness. This article examines the multifaceted nature of algorithmic bias in cloud AI systems, presenting quantitative evidence of disparities across...
How Can the Law Address the Effects of Algorithmic Bias in the Healthcare Context?
This paper examines how UK ‘hard laws’ can adapt to regulate algorithmic bias in the healthcare context. I explore the causes of algorithmic bias which sets the foundation for how the law will address this issue. I critically analyse elements...
The International Conference on Web and Social Media (ICWSM) - AAAI
ICWSM brings together researchers in the broad field of social media analysis to foster discussions about research.
Membership in AAAI
AAAI membership supports efforts to encourage and facilitate research, education, and development in artificial intelligence.
AAAI Chapter Program - AAAI
AAAI chapters are organized and operated for charitable, educational, and scientific purposes to promote the nonprofit mission of AAAI.
AAAI Spring Symposia - AAAI
The AAAI Spring Symposium series affords participants an intimate setting where they can share ideas and artificial intelligence research.
Call for Proposals: “AIx” Pop-Up Events
We are now accepting proposals for AAAI-sponsored “AIx” Pop-Up Events — TEDx-style talks, panels, or public forums
To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models
arXiv:2602.12566v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) plays a key role in stimulating the explicit reasoning capability of Large Language Models (LLMs). We can achieve expert-level performance in some specific domains via RLVR, such as coding...
X-SYS: A Reference Architecture for Interactive Explanation Systems
arXiv:2602.12748v1 Announce Type: new Abstract: The explainable AI (XAI) research community has proposed numerous technical methods, yet deploying explainability as systems remains challenging: Interactive explanation systems require both suitable algorithms and system capabilities that maintain explanation usability across repeated queries,...
Optimal Take-off under Fuzzy Clearances
arXiv:2602.13166v1 Announce Type: new Abstract: This paper presents a hybrid obstacle avoidance architecture that integrates Optimal Control under clearance with a Fuzzy Rule Based System (FRBS) to enable adaptive constraint handling for unmanned aircraft. Motivated by the limitations of classical...
OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model
arXiv:2602.12304v1 Announce Type: cross Abstract: Existing mainstream video customization methods focus on generating identity-consistent videos based on given reference images and textual prompts. Benefiting from the rapid advancement of joint audio-video generation, this paper proposes a more compelling new task:...
Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
arXiv:2602.12373v1 Announce Type: cross Abstract: The opioid epidemic remains one of the most severe public health crises in the United States, yet evaluating policy interventions before implementation is difficult: multiple policies interact within a dynamic system where targeting one risk...
Designing RNAs with Language Models
arXiv:2602.12470v1 Announce Type: cross Abstract: RNA design, the task of finding a sequence that folds into a target secondary structure, has broad biological and biomedical impact but remains computationally challenging due to the exponentially large sequence space and exponentially many...
RAT-Bench: A Comprehensive Benchmark for Text Anonymization
arXiv:2602.12806v1 Announce Type: new Abstract: Data containing personal information is increasingly used to train, fine-tune, or query Large Language Models (LLMs). Text is typically scrubbed of identifying information prior to use, often with tools such as Microsoft's Presidio or Anthropic's...
Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
arXiv:2602.12379v1 Announce Type: new Abstract: Estimating longitudinal treatment effects is essential for sequential decision-making but is challenging due to treatment-confounder feedback. While Iterative Conditional Expectation (ICE) G-computation offers a principled approach, its recursive structure suffers from error propagation, corrupting the...
Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
arXiv:2602.12517v1 Announce Type: new Abstract: The intersection of Mean Field Games (MFGs) and Reinforcement Learning (RL) has fostered a growing family of algorithms designed to solve large-scale multi-agent systems. However, the field currently lacks a standardized evaluation protocol, forcing researchers...
Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection
arXiv:2602.12622v1 Announce Type: new Abstract: Internet of things (IoT) networks face increasing security threats due to their distributed nature and resource constraints. Although federated learning (FL) has gained prominence as a privacy-preserving framework for distributed IoT environments, current federated principal...