Nov 2026· ACM International Conference on Information and Knowledge Management (CIKM)· 0 citations
Misinformation and Its Impacts
Abstract
The rapid growth of generative multimodal processing and dissemination technologies has enabled the creation of an unprecedented amount of realistic synthetic media. As a result, methods for assessing the integrity and authenticity of digital media play a crucial role across scientific, industrial, and societal contexts, as the realism of altered digital content continues to challenge forensic models. In this context, multimedia forensic systems must address factors such as social media preprocessing, heterogeneous data sources, distribution shifts, adversarial perturbations, and the trustworthiness of information, as well as disinformation detection. These conditions underscore the challenges of deploying digital content integrity tools that remain effective, robust, and explainable. Therefore, this workshop will highlight research advancements in multimedia forensics, deepfake detection, adversarial machine learning, and AI-generated media attribution. Particular focus will be on the deployment of autonomous AI agents for media verification, as well as lifelong media authentication, a forward-looking perspective on AI's role in safeguarding media integrity. The workshop gathers interdisciplinary contributions that advance the foundations and practice of robust and trustworthy multimedia forensics across different modalities, such as images, text, and audio, encouraging research that challenges existing assumptions and proposes forward-looking solutions across multimedia analysis.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
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