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Canada, Japan, and New York tighten AI rules

19 items · 5 desks · 10 min read
Policy Highlights5
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Liberals introduce privacy reform bill amid concerns over AI, data use - Global News

A Canadian Liberal government has introduced a privacy reform bill amid concerns about AI and data use. The record does not specify the bill name, text, or any formal regulatory details.

POLICY HIGHLIGHTS

Vietnam’s AI law now in force - www.hoganlovells.com

A report states that Vietnam’s AI law has entered into force. The source is a secondary legal-news item and does not provide the official instrument details.

POLICY HIGHLIGHTS

Canada unveils AI strategy with plans for widespread adoption, data centres - Global News

Global News reports Canada has unveiled an AI strategy including plans for widespread adoption and data centres. The underlying government instrument and its legal status are not provided in the record.

POLICY HIGHLIGHTS

Realistic AI-created content to require labels during Japan’s election campaigns - The Japan Times

Japan will require labeling of realistic AI-created content during election campaigns, according to The Japan Times. The measure is expected to be implemented through election-related rules overseen by Japan’s communications ministry.

POLICY HIGHLIGHTS

New York Bill Goes Into Effect Requiring Advertisements To Be Transparent When AI-Generated Performers Are Featured - afrotech.com

A New York bill has gone into effect requiring advertisements to be transparent when AI-generated performers are featured. The record is sourced from afrotech.com via a news RSS item.

POLICY HIGHLIGHTS

PVminerLLM2: Improving Structured Extraction of Patient Voice via Preference Optimization

Motivation: Patient-generated text contains critical information on patients' lived experiences, social context, and care engagement, but remains largely unstructured, limiting its use in patient-centered outcomes research. Prior work introduced the PV-Miner benchmark and PVMinerLLM models for structured extraction. However, supervised fine-tuning (SFT) alone struggles with rare, fine-grained, and

RESEARCH

InvDesMobility: a reliability-gated first-principles feedback framework for closed-loop materials discovery

Inverse materials design starts from target functionality and searches for structures that can realize it. Its value in closed-loop discovery depends not only on prediction performance, but also on whether expensive first-principles results are independently validated, provenance-recorded, and admitted as feedback only when evidence is sufficient. This is especially important for composite propert

RESEARCH

ActiveSAM: Image-Conditional Class Pruning for Fast and Accurate Open-Vocabulary Segmentation

Segment Anything Model 3 (SAM 3) provides a strong frozen backbone for concept-prompted segmentation, but applying it directly to open-vocabulary semantic segmentation (OVSS) is inefficient: full-resolution decoding is typically run over the entire dataset vocabulary, whereas each image contains only a small active subset of classes. We introduce ActiveSAM, a training-free, zero-shot inference fra

RESEARCH

SLU-2K: A Question-Based Benchmark for Semantic Evaluation of Sign Language Translation

Sign Language Translation (SLT) is typically evaluated with surface-form metrics such as BLEU and ROUGE, which reward lexical overlap but do not directly measure whether a translation preserves the meaning of the source sign sequence. This is in contrast with the final objective of integrating SLT in assistive technology. In this work, we shift the focus from Sign Language Translation (SLT) to Sig

RESEARCH

A Multi-Center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

Multiphasic contrast-enhanced CT (CECT) is widely used for abdominal lesion characterization, yet it carries inherent risks of contrast-induced nephropathy, escalates acquisition burden, and heavily contributes to radiologist workload. To address these challenges, we introduce a novel multi-center benchmark for multi-organ abdominal disease diagnosis and automated radiology report generation, whic

RESEARCH