Updates¶

Full list of recent papers, releases, and news.

UnBias-Plus — Toolkit for bias detection and debiasing in text (segmentation, severity, reasoning, replacements, full rewrite). Project page · Code · PyPI.
FairSense-AgentiX — Agentic fairness and AI-risk platform for text, images, and datasets (FastAPI, WebSocket, React UI, Python API). Project page · Code · PyPI.
HAICON26 — Shaina Raza, PhD presenting at the Helmholtz AI Conference 2026: AI for Science (8–11 June 2026, Munich, Germany).
Toronto Machine Learning Summit — Ahmed Y. Radwan presenting SONIC-O1 at the Toronto Machine Learning Summit (16–19 June 2026). Project page · Code · Dataset · Leaderboard.
Evaluating and Regulating Agentic AI — Forthcoming in Information Fusion (journal page to follow). Evaluating and Regulating Agentic AI: A Study of Benchmarks, Metrics and Regulation (arXiv). Project page · Code.
EU cluster webinar — AI in public services — We contributed to the webinar AI-Enabled Public Services: Building Resilience and Accountability (20 April 2026, 10:00 CEST). The session was the second joint online event organized by the EU-funded projects TANGO, AI4REALNET, HumAIne, THEMIS 5.0, and Peer AI, bringing together speakers on how these initiatives use AI in public-service settings, with emphasis on resilience and accountability. Registration was open to the general public, researchers, and policy makers; registered participants received the detailed agenda in the weeks before the event.
Model immunization (AI vaccine) — Accepted at WCCI 2026 (IJCNN). Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods (arXiv). Project page · Code.
F-DPO — ACL 2026 Findings. Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning (arXiv). Project page · Code · Dataset.
TRiSM for Agentic AI accepted — Paper accepted at AI Open, Elsevier 2026. A review of trust, risk, and security management in LLM-based agentic multi-agent systems.
Remarkable 2026 — We presented AIXpert projects at Remarkable 2026.

SONIC-O1 Multi-Agent — We released a compound multi-agent system for audio-video understanding. Code.
From Features to Actions — Paper: Explainability in Traditional and Agentic AI Systems (arXiv). Code and project page.
Transparency in Agentic AI — Survey: A Survey of Interpretability, Explainability, and Governance (arXiv). Project page.
AIXpert news — Our work was highlighted on the AIXpert project website: Advancing Trustworthy, Explainable, and Responsible AI at NeurIPS 2025 (Bias in the Picture, HumaniBench, Carbon Literacy, and more).
SONIC-O1 — Paper: A Real-World Benchmark for Evaluating MLLMs on Audio-Video Understanding (arXiv).
SONIC-O1 — Dataset on Hugging Face (231 videos, ~60h, 4,958 QAs, 13 domains, demographic metadata).
SONIC-O1 — Code and evaluation pipeline (summarization, MCQ, temporal localization).
SONIC-O1 — Leaderboard for model comparisons and fairness analysis.
F-DPO — Factuality-aware preference dataset on Hugging Face.
F-DPO — Code and project page (factuality-aware DPO, no reward model).
Released data generation pipeline (multimodal, configurable, agent-orchestrated).
Single-agent pipeline prototype for rapid dataset bootstrapping.
Paper: Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment (NeurIPS 2025 LLM-eval Workshop)
Paper: TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems
Paper: Responsible Agentic Reasoning and AI Agents—A Critical Survey (arXiv)
Paper: Single-Agent TRiSM (Poster, NeurIPS LAW)