Reconciling Legal and Technical Approaches to Algorithmic Bias
In recent years, there has been a proliferation of papers in the algorithmic fairness literature proposing various technical definitions of algorithmic bias and methods to mitigate bias. Whether these algorithmic bias mitigation methods would be permissible from a legal perspective...
Generative artificial intelligence empowers educational reform: current status, issues, and prospects
The emergence of Chat GPT has once again sparked a wave of information revolution in generative artificial intelligence. This article provides a detailed overview of the development and technical support of generative artificial intelligence. It conducts an in-depth analysis of...
The risks of machine learning models in judicial decision making
Machine learning models, as tools of artificial intelligence, have an increasingly strong potential to become an integral part of judicial decision-making. However, the technical limitations of AI systems—often overlooked by legal scholarship—raise fundamental questions, particularly regarding the preservation of the...
Wisconsin Law Review’s 2025 Symposium
The Wisconsin Law Review presents: The Shadow Carceral State Registration available here.Date and Time Friday, September 26 9:00am – 5:30pm CDT Location Madison Museum of Contemporary Art 227 State Street Madison, WI 53703 CLE for this event is pending.Summary On...
Human-AI collaboration in legal services: empirical insights on task-technology fit and generative AI adoption by legal professionals
Purpose This study aims to investigate the use of generative artificial intelligence (GenAI) in the legal profession, focusing on its fit with tasks performed by legal practitioners and its impact on performance and adoption. Design/methodology/approach This study uses a mixed...
Public Perceptions of Algorithmic Bias and Fairness in Cloud-Based Decision Systems
Cloud-based machine learning systems are increasingly used in sectors such as healthcare, finance, and public services, where they influence decisions with significant social consequences. While these technologies offer scalability and efficiency, they raise significant concerns regarding security, privacy, and compliance....
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AAAI Conference and Symposium Proceedings
Browse the AAAI Library containing several high-quality AAAI Conference proceedings in artificial intelligence.
AAAI 2026 Spring Symposium Series - AAAI
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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...