The integration of coding and Artificial Intelligence (AI) into vocational education is essential for equipping students with 21st-century digital competencies, yet implementation in remote and island regions like Bangka Belitung archipelago province remains fragmented and unsustainable. This study employs Developmenta...
Peitrik Iwan, Nikmarijal, Suparta· LENTERNAL Learning and Teach...· 0 citations
What if judges already behave like algorithms? As artificial intelligence and algorithms are deployed in many settings, including the judicial system, many have debated whether judges should be allowed to rely on them. We suggest this debate about the role of algorithms in the justice system tracks a longstanding debat...
Riya Manchanda, Eric Chen, Chloe Zhu et al.· Proceedings of the AAAI/ACM...· 0 citations
As artificial intelligence (AI) systems are integrated into diverse interfaces and applications, model-centric audits are insufficient to address risks arising from their deployment. In safety-critical domains such as aerospace, system integration has long been a focal point for technical system audits. Yet, its role i...
Leah Davis, Dominic Martin, AJung Moon· Proceedings of the AAAI/ACM...· 0 citations
Artificial intelligence (AI) can reproduce and amplify the structural inequities faced by minoritized communities. Participatory AI has been proposed as a response, but participation typically starts after problem definitions and success criteria have been set, leaving limited room for minoritized communities to reshap...
Tijs Portegies, Laureanne Willems, Maaike Harbers et al.· Proceedings of the AAAI/ACM...· 0 citations
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Machine learning systems increasingly make life-changing decisions about individuals, such as loan approvals, hiring, and cheating detection, raising a pressing question: how can individuals respond to negative decisions made by these opaque systems? While explainable artificial intelligence (XAI) has largely focused o...
Timo Freiesleben, Kristof Meding, Gunnar König· Proceedings of the AAAI/ACM...· 0 citations
This review summarizes contemporary evidence, evolving indications, technical innovations, and future directions in wrist arthroscopy, highlighting its growing role as a central component of modern hand and wrist surgery.
Parker H. Johnsen, A. B. Chhabra, Brent R. DeGeorge· Journal of Hand Surgery Glob...· 0 citations
Incident response planning is critical for restoring compromised software systems. Existing AIOps methods automate fault diagnosis and remediation and adapt response using feedback, but lack a unified decision basis across planning and execution. This limits their ability to maintain incident state and align actions wi...
Hanlin Jiang, Jionghao Huang, Shaofei Li et al.· 0 citations
Increases in photovoltaic generation, charging of electric vehicles and heat-pump demand challenge operating limits in low-voltage distribution grids. This requires curative curtailment methods that can operate under sparse observability, noisy measurements, and imperfect grid models. Unlike prior end-to-end reinforcem...
Josef Hoppe, Sarra Bouchkati, Farah Nasr et al.· 0 citations
Certified training aims to produce models whose predictions can be formally verified against adversarial perturbations, typically by optimising upper bounds on the worst-case loss over an allowed perturbation set. For neural networks, certified training methods based purely on tight relaxation bounds produce networks t...
Matteo Melis, Jesus Martinez Del Rincon, Vishal Sharma· 0 citations
The Spec Growth Engine is presented, a lightweight framework that addresses both failure modes through a machine-readable spec graph whose nodes carry explicit contract/design separation, a Spine context assembler that scopes agent context to an ownership path, a vertical-slice growth protocol that enforces hardest-fir...
Machine unlearning (MU) is commonly judged by output forgetting, such as low forget-set accuracy or reduced membership inference. But if output-level success can coexist with retraining-inconsistent residuals in representation space, what kind of forgetting are current evaluations actually certifying? We study this que...
Teresa Pui Yee Yong, Win Kent Ong, Chee Seng Chan· 0 citations
Robots deployed in realistic settings will accumulate experience across many sessions and tasks over their deployment. The robot's tasks may often require it to remember information from multiple sessions ago, making long-context robot memory important for real-world deployments. However, most robot-memory benchmarks t...
