transparency
7 notes, newest first.
Failure-Transparent Agents: Benchmarking Post-Failure Reporting in Tool-Using Language Models
The preprint introduces a controlled benchmark for cases where a required tool fails and an agent may report success without supporting evidence. The benchmark contains 100 tasks with deterministic failure traces…
Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers
In this paper, researchers examine a municipal algorithm register used for decision-support tools in welfare benefits eligibility assessments. They find that engaging diverse stakeholders in participatory system…
Investigating Artificial Intelligence Digital Sovereignty in Mobile Shopping Apps: A Case Study of Nigeria
This research investigates the impact of Artificial Intelligence (AI) in Nigerian mobile shopping apps on digital sovereignty, focusing on platform transparency as a key indicator of user awareness and control. The…
AISPA: User-Centric System Prompt Auditing for Large Language Model Applications
A new framework called AISPA is introduced to audit system prompts in AI systems, which are instructions used by developers to control the behavior of AI applications. The framework examines specific parts of a system…
BrainPilot: Automating Brain Discovery with Agentic Research
BrainPilot is a multi-agent system designed to accelerate brain science research using AI agents grounded in curated domain knowledge, traceable logs, and auditable records for transparency. The system is fully…
Plover: Steering GUI Agents through Plan-Centric Interaction
The paper introduces Plover, a system for GUI automation in real-world environments. It focuses on improving flexibility and user control by making task plans persistent, inspectable, and editable, while also allowing…
ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models
The paper introduces ReasoningLens, an open-source framework designed to help with the visualization and diagnostic auditing of complex reasoning chains in large reasoning models. The tool aims to address the issue of…
