[{"OA_type":"green","abstract":[{"text":"Modern AI systems increasingly rely on opaque, highly complex models whose inner workings remain inaccessible even to experts. This opacity creates challenges for trust, accountability, and compliance with\r\nemerging regulatory expectations such as the “right to an explanation”. While traditional explainability methods—feature attributions, counterfactuals, surrogate models—and interpretable model classes provide valuable insights for engineers, they often fall short of delivering the contextual, conversational explanations that\r\nreal users expect. Large Language Models (LLMs) offer a promising new avenue for explanation due to their\r\nability to engage interactively, adapt to user needs, and translate technical outputs into more accessible reasoning. However, their tendencies toward hallucination, conflict avoidance, and oversimplification introduce\r\nserious risks when used as explanatory agents. This paper analyzes these opportunities and limitations, examines verification strategies for ensuring explanation fidelity, and situates LLM-generated explanations within\r\nbroader concerns about public trust. The paper concludes by outlining best practices and future research directions for building robust, verifiable, and human-aligned explanation systems.","lang":"eng"}],"oa":1,"researchdata_availability":"no","_id":"22103","language":[{"iso":"eng"}],"OA_place":"repository","day":"01","oa_version":"Accepted Version","das_tickbox":"0","publication_status":"published","main_file_link":[{"open_access":"1","url":"https://filipcano.org/files/icaart26llm.pdf"}],"doi":"10.5220/0014483200004052","page":"4689-4696","article_processing_charge":"No","corr_author":"1","date_created":"2026-06-21T22:03:00Z","department":[{"_id":"ToHe"}],"title":"Explaining decisions one conversation at a time: Opportunities and risks of LLMs as explainability assistants","status":"public","conference":{"name":"ICAART: International Conference on Agents and Artificial Intelligence","start_date":"2026-03-05","location":"Marbella, Spain","end_date":"2026-03-08"},"ec_funded":1,"publisher":"Science and Technology Publications","citation":{"short":"F. Cano Cordoba, in:, Proceedings of the 18th International Conference on Agents and Artificial Intelligence, Science and Technology Publications, 2026, pp. 4689–4696.","apa":"Cano Cordoba, F. (2026). Explaining decisions one conversation at a time: Opportunities and risks of LLMs as explainability assistants. In <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i> (Vol. 5, pp. 4689–4696). Marbella, Spain: Science and Technology Publications. <a href=\"https://doi.org/10.5220/0014483200004052\">https://doi.org/10.5220/0014483200004052</a>","chicago":"Cano Cordoba, Filip. “Explaining Decisions One Conversation at a Time: Opportunities and Risks of LLMs as Explainability Assistants.” In <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>, 5:4689–96. Science and Technology Publications, 2026. <a href=\"https://doi.org/10.5220/0014483200004052\">https://doi.org/10.5220/0014483200004052</a>.","ieee":"F. Cano Cordoba, “Explaining decisions one conversation at a time: Opportunities and risks of LLMs as explainability assistants,” in <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>, Marbella, Spain, 2026, vol. 5, pp. 4689–4696.","ista":"Cano Cordoba F. 2026. Explaining decisions one conversation at a time: Opportunities and risks of LLMs as explainability assistants. Proceedings of the 18th International Conference on Agents and Artificial Intelligence. ICAART: International Conference on Agents and Artificial Intelligence vol. 5, 4689–4696.","mla":"Cano Cordoba, Filip. “Explaining Decisions One Conversation at a Time: Opportunities and Risks of LLMs as Explainability Assistants.” <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>, vol. 5, Science and Technology Publications, 2026, pp. 4689–96, doi:<a href=\"https://doi.org/10.5220/0014483200004052\">10.5220/0014483200004052</a>.","ama":"Cano Cordoba F. Explaining decisions one conversation at a time: Opportunities and risks of LLMs as explainability assistants. In: <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>. Vol 5. Science and Technology Publications; 2026:4689-4696. doi:<a href=\"https://doi.org/10.5220/0014483200004052\">10.5220/0014483200004052</a>"},"date_updated":"2026-06-24T08:37:00Z","type":"conference","year":"2026","keyword":["Explainable AI","Large Language Models","Trust in AI"],"scopus_import":"1","acknowledgement":"This work has been supported by the European Research Council under Grant No.: ERC-2020-AdG\r\n101020093. LLM–based tools have been used as\r\nwriting assistance to help improve presentation.\r\n","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","month":"04","date_published":"2026-04-01T00:00:00Z","author":[{"first_name":"Filip","id":"708cad98-e86a-11ef-8098-bdae2d7c6af1","last_name":"Cano Cordoba","full_name":"Cano Cordoba, Filip","orcid":"0000-0002-0783-904X"}],"volume":5,"intvolume":"         5","project":[{"call_identifier":"H2020","_id":"62781420-2b32-11ec-9570-8d9b63373d4d","name":"Vigilant Algorithmic Monitoring of Software","grant_number":"101020093"}],"supplementarymaterial":"no","publication":"Proceedings of the 18th International Conference on Agents and Artificial Intelligence","publication_identifier":{"isbn":["9789897587962"],"eissn":["2184-433X"],"issn":["2184-3589"]}},{"oa_version":"Preprint","das_tickbox":"1","day":"30","language":[{"iso":"eng"}],"OA_place":"repository","_id":"22294","oa":1,"abstract":[{"text":"Modern computer systems store vast amounts of personal data, enabling advances in AI and ML but risking user privacy and trust. For privacy reasons, it is sometimes desired for an ML model to forget part of the data it was trained on. In this paper, we introduce a novel unlearning approach based on Forgetting Neural Networks (FNNs), a neuroscience-inspired architecture that explicitly encodes forgetting through multiplicative decay factors. While FNNs had previously been studied as a theoretical construct, we provide the first concrete implementation and demonstrate their effectiveness for targeted unlearning. We propose several variants with per-neuron forgetting factors, including rank-based assignments guided by activation levels, and evaluate them on MNIST and Fashion-MNIST benchmarks. Our method systematically removes information associated with forget sets while preserving performance on retained data. Membership inference attacks confirm the effectiveness of FNN-based unlearning in erasing information about the training data from the neural network. These results establish FNNs as a promising foundation for efficient and interpretable unlearning. ","lang":"eng"}],"OA_type":"green","doi":"10.5220/0014326500004052","publication_status":"published","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2410.22374","open_access":"1"}],"article_processing_charge":"No","page":"1536-1546","conference":{"end_date":"2026-03-08","location":"Marbella, Spain","start_date":"2026-03-05","name":"ICAART: International Conference on Agents and Artificial Intelligence"},"title":"Machine unlearning using forgetting neural networks","department":[{"_id":"ToHe"}],"status":"public","date_created":"2026-07-13T09:46:46Z","year":"2026","type":"conference","citation":{"apa":"Hatua, A., Nguyen, T., Cano Cordoba, F., &#38; Sung, A. (2026). Machine unlearning using forgetting neural networks. In <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i> (Vol. 2, pp. 1536–1546). Marbella, Spain: SciTePress. <a href=\"https://doi.org/10.5220/0014326500004052\">https://doi.org/10.5220/0014326500004052</a>","short":"A. Hatua, T. Nguyen, F. Cano Cordoba, A. Sung, in:, Proceedings of the 18th International Conference on Agents and Artificial Intelligence, SciTePress, 2026, pp. 1536–1546.","ama":"Hatua A, Nguyen T, Cano Cordoba F, Sung A. Machine unlearning using forgetting neural networks. In: <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>. Vol 2. SciTePress; 2026:1536-1546. doi:<a href=\"https://doi.org/10.5220/0014326500004052\">10.5220/0014326500004052</a>","mla":"Hatua, Amartya, et al. “Machine Unlearning Using Forgetting Neural Networks.” <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>, vol. 2, SciTePress, 2026, pp. 1536–46, doi:<a href=\"https://doi.org/10.5220/0014326500004052\">10.5220/0014326500004052</a>.","ieee":"A. Hatua, T. Nguyen, F. Cano Cordoba, and A. Sung, “Machine unlearning using forgetting neural networks,” in <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>, Marbella, Spain, 2026, vol. 2, pp. 1536–1546.","ista":"Hatua A, Nguyen T, Cano Cordoba F, Sung A. 2026. Machine unlearning using forgetting neural networks. Proceedings of the 18th International Conference on Agents and Artificial Intelligence. ICAART: International Conference on Agents and Artificial Intelligence vol. 2, 1536–1546.","chicago":"Hatua, Amartya, Trung Nguyen, Filip Cano Cordoba, and Andrew Sung. “Machine Unlearning Using Forgetting Neural Networks.” In <i>Proceedings of the 18th International Conference on Agents and Artificial Intelligence</i>, 2:1536–46. SciTePress, 2026. <a href=\"https://doi.org/10.5220/0014326500004052\">https://doi.org/10.5220/0014326500004052</a>."},"external_id":{"arxiv":["2410.22374"]},"date_updated":"2026-07-16T09:02:53Z","arxiv":1,"publisher":"SciTePress","month":"06","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","scopus_import":"1","keyword":["Machine Unlearning","Neuroscience-Inspired Machine Learning","Membership Inference Attacks"],"intvolume":"         2","volume":2,"author":[{"last_name":"Hatua","full_name":"Hatua, Amartya","first_name":"Amartya"},{"first_name":"Trung","full_name":"Nguyen, Trung","last_name":"Nguyen"},{"orcid":"0000-0002-0783-904X","full_name":"Cano Cordoba, Filip","last_name":"Cano Cordoba","id":"708cad98-e86a-11ef-8098-bdae2d7c6af1","first_name":"Filip"},{"last_name":"Sung","full_name":"Sung, Andrew","first_name":"Andrew"}],"date_published":"2026-06-30T00:00:00Z","publication_identifier":{"isbn":["9789897587962"],"eissn":["2184-433X"]},"publication":"Proceedings of the 18th International Conference on Agents and Artificial Intelligence"}]