May 2024

Improving Cross-Lingual Retrieval of Previously Fact-Checked Claims

Róbert Móro Researcher at Kempelen Institute of Intelligent Technologies To mitigate disinformation with AI in a trustworthy way, it should prioritize human agency and control, transparency, and accountability including the means for redress. This can be achieved by using AI to support rather than to replace media professionals, such as fact-checkers, in their efforts to […]

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Enhancing Reliability and Trustworthiness in IoT Applications through Deep Learning-Based Data Imputation Techniques

Hakob Grigoryan PhD at NVISION With the evolution of intelligent sensing devices and the Internet of Things (IoT), a vast amount of data is generated from various sources, including sensors, cameras, and network infrastructures, and is transmitted to servers for analysis. Data streaming from sensors in IoT systems might face quality issues like incompleteness due

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Exploring Intrusion Detection Knowledge Transfer Between Network Environments

Patrik Goldschmidt PhD candidate at Kempelen Institute of Intelligent Technologies With the rise of information technology and the Internet, the number of cybersecurity incidents has grown immensely. As a response, the research area of Intrusion Detection Systems (IDSs), aiming to detect and mitigate cyber threats, has gained significant attention. Our research focuses on Network IDSs

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Keynote by Rao

Subbarao “Rao” Kambhampati, professor of computer science at Arizona State University, will give a keynote lecture at the 4th TAILOR conference “Trustworthy AI from Lab to market”, 4-5 June 2024, Lisbon. His talk will be about the role of LLM:s in planning tasks.

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Keynote by Carles Sierra

Carles Sierra, Research Professor and the Director of the Artificial Intelligence Research Institute (IIIA) of the Spanish National Research Counci and president of EurAI, will give a keynote at the opening session of the 4th TAILOR conference “Trustworthy AI from Lab to market”, 4-5 June 2024, Lisbon. His talk will be about enineering moral values in autonomous agents.

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Keynote by Wendy Ju

Wendy Ju, associated professor at Cornell University, will give a keynote lecture at the opening session of the 4th TAILOR conference “Trustworthy AI from Lab to market”, 4-5 June 2024, Lisbon. Her talk will be about interaction intelligence.

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Enhancing Trustworthiness in Healthcare Large Language Models

Muhammad Waseem Postdoctoral Researcher at Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland Large Language Models (LLMs) are advanced AI tools capable of understanding and generating human-like text, advancing various sectors, including healthcare. This project aims to enhance healthcare services using LLMs, focusing on improving their trustworthiness for clinical applications. Trustworthiness encompasses reliability, fairness,

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