IEEE Transactions on Artificial Intelligence, Volume 6, Issue 2, February 2025

1) Guest Editorial: Operationalizing Responsible AIAuthor(s): Qinghua Lu, Apostol Vassilev, Jun Zhu, Foutse KhomhPages: 252 - 2532) Ethical Aspects of ChatGPT in Software Engineering ResearchAuthor(s): Muhammad Azeem Akbar, Arif Ali Khan, Peng LiangPages: 254 - 2673) FedDGA: Federated Multitask Learning Based on Dynamic Guided AttentionAuthor(s): Haoyun Sun, Hongwei Zhao, Liang Xu, Weishan Zhang, Hongqing Guan, Su YangPages: 268 - 2804) FairCompass: Operationalizing Fairness in Machine LearningAuthor(s): Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond ChooPages: 281 - 2915) Frequency Attacks Based on Invertible Neural NetworksAuthor(s): Ming-Wen Shao, Jian-Xin Yang, Ling-Zhuang Meng, Zhi-Yong HuPages: 292 - 3006) A Credible and Fair Federated Learning Framework Based on BlockchainAuthor(s): Leiming Chen, Dehai Zhao, Liping Tao, Kai Wang, Sibo Qiao, Xingjie Zeng, Chee Wei TanPages: 301 - 3167) A Membership Inference and Adversarial Attack Defense Framework for Network Traffic ClassifiersAuthor(s): Guangrui Liu, Weizhe Zhang, Xurun Wang, Stephen King, Shui YuPages: 317 - 3328) Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive SurveyAuthor(s): Bosen Rao, Jiale Zhang, Di Wu, Chengcheng Zhu, Xiaobing Sun, Bing ChenPages: 333 - 3539) Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron AttributionAuthor(s): Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Huaming Chen, Kim-Kwang Raymond ChooPages: 354 - 36410) Latency- and Privacy-Aware Convolutional Neural Network Distributed Inference for Reliable Artificial Intelligence SystemsAuthor(s): Yuhao Hu, Xiaolong Xu, Lianyong Qi, Xiaokang Zhou, Xiaoyu XiaPages: 365 - 37711) Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter BubblesAuthor(s): Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Zihan Yuan, Chenting JiangPages: 378 - 39212) A Locality-Sensitive-Hashing-Based Collaborative Recommendation Method for Responsible AI-Driven Recommender SystemsAuthor(s): Wenmin Lin, Xinyi Zhou, Lu Sun, Lianyong Qi, Sang-Bing Tsai, Yihong Yang, Hanwen Liu, Huaizhen Kou, Lingzhen KongPages: 393 - 40413) LLMaaS: Serving Large-Language Models on Trusted Serverless Computing PlatformsAuthor(s): Zinuo Cai, Rongbo Ma, Yicheng Fu, Weishan Zhang, Ruhui Ma, Haibing GuanPages: 405 - 41514) Fostering Human Rights in Responsible AI: A Systematic Review for Best Practices in IndustryAuthor(s): Maria Teresa Baldassarre, Danilo Caivano, Berenice Fernández Nieto, Domenico Gigante, Azzurra RagonePages: 416 - 43115) Empowering Machine Learning With Scalable Feature Engineering and Interpretable AutoMLAuthor(s): Hassan Eldeeb, Radwa ElshawiPages: 432 - 44716) Temporal Knowledge Extrapolation Based on Fine-Grained Tensor Graph Attention Network for Responsible AIAuthor(s): Jing Yang, Chengxuan Huang, Xiangli Yang, Laurence T. Yang, Yuan Gao, Cong LiuPages: 448 - 45717) Under the Influence: A Survey of Large Language Models in Fake News DetectionAuthor(s): Soveatin Kuntur, Anna Wróblewska, Marcin Paprzycki, Maria GanzhaPages: 458 - 47618) Artificial Intelligence Across Europe: A Study on Awareness, Attitude and TrustAuthor(s): Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro FabrisPages: 477 - 490

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