Judicial AI Depends on Human Algorithm Interaction Design
In courts, AI outcomes hinge less on model accuracy than on judge uptake, override patterns, accountability, and TEVV.
843 articles · Page 4 / 36
In courts, AI outcomes hinge less on model accuracy than on judge uptake, override patterns, accountability, and TEVV.
In medical AI robotics, governance, validation, and monitoring matter more than performance demos alone.
Analyzes how segmentation signals in MLLMs weaken in the adapter and recover through LLM attention across the pipeline.
Speaker diarization is moving from meetings to film and TV, where off-screen speech, noise, and subtitle drift matter.
Examines why structured exploration and verifiable workflows may matter more than longer reasoning in LLM binary analysis.
A curated link roundup from recently collected official updates and tech news.
Why agent governance is moving from static rules to execution paths, runtime logs, and timing-aware intervention.
Examines AI exposure in clerical work, automation pressure, and why task redesign and human accountability matter.
How LLMs can guide neural architecture search using only trial summaries while sensitive time-series data stays on-premises.
Models with identical predictions can still produce different feature attributions, challenging XAI reliability, audits, and governance.
How combining LLMs with computational argumentation could shift AI from making decisions for us to reasoning with us.
A curated link roundup from recently collected official updates and tech news.
A paper argues educational AI performance may depend less on model size and more on roles, skills, tools, runtime, and educator expertise.
Examines how LLMs should handle harmful user-provided text in harmless tasks like summarization, translation, and classification.
A curated link roundup from recently collected official updates and tech news.
ARROW extends DreamerV3 with dual buffers and distribution-matching replay to reduce forgetting under memory limits.
A minimal theory of multi-agent coordination through environmental memory, incentive fields, and feedback loops.
Examines how far automated evaluation can match human judgment in Mandarin-to-English LLM translation and where bias may distort results.
A low-cost teleoperation approach using a single RGB-D camera for hand tracking, 3D reconstruction, and robot retargeting.
A new estimator for stable dependence analysis across autoencoder inputs, latents, and reconstructions, beyond mutual information pitfalls.
A concise look at Stable Spike, dual consistency optimization, and bitwise AND for more stable low-latency SNN inference.
A transformer-based offline multi-task MARL approach targeting variable agent counts and generalization to unseen scenarios.
A practical guide to turning AI ideas into patents through university invention rules, prototype planning, and claim-ready differentiation.
A look at UAV-MARL, which treats medical drone delivery as multi-agent collaborative decision-making, not just routing.