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Large Language Models (LLMs) are increasingly being used for automated evaluations and explaining them.
A Typology of Communicative Strategies in Online Privacy Policies: Ethics, Power and Informed Consent
Irene Pollach. 2005 · 2005
Earlier work this paper cites.
Disagreeable privacy policies: Mismatches between meaning and users’ understanding
Joel R Reidenberg, Travis Breaux, Lorrie Faith Cranor, Brian French, Amanda Grannis, James T Graves, Fei Liu, Aleecia McDonald, Thomas B Norton, Rohan Ramanath, et al · 2015
Earlier work this paper cites.
REGULATION (EU) 2016/679 of the European Parliament AND OF THE Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)
European Union. 2016 · 2016
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“I agree to the terms and conditions”:(How) do users read privacy policies online? An eye-tracking experiment
Nili Steinfeld. 2016 · 2016
Earlier work this paper cites.
Designing effective privacy notices and controls
Florian Schaub, Rebecca Balebako, and Lorrie Faith Cranor. 2017 · 2017
Earlier work this paper cites.
Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda. In Proceedings of the 2018 CHI conference on human factors in computing systems . 1–18
Ashraf Abdul, Jo Vermeulen, Danding Wang, Brian Y Lim, and Mohan Kankanhalli. 2018 · 2018
Earlier work this paper cites.
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 5570–5581
Hui Liu, Qingyu Yin, and William Yang Wang. 2019 · 2019
Earlier work this paper cites.
Human-centered explainable ai: Towards a reflective sociotechnical approach. In HCI International 2020-Late Breaking Papers: Multimodality and Intelligence: 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings 22 . Springer, 449–466
Upol Ehsan and Mark O Riedl. 2020 · 2020
Earlier work this paper cites.
The Concept of Fairness in the GDPR: A Linguistic and Contextual Interpretation. In Proceedings of the 2020 Conference on fairness, accountability, and transparency . Association for Computing Machinery, New York, NY, USA, 154–166
Gianclaudio Malgieri. 2020 · 2020
Earlier work this paper cites.
On Faithfulness and Factuality in Abstractive Summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , Dan Jurafsky, Joyce Chai, Natalie Schluter, and Joel Tetreault (Eds.). Association for Computational Linguistics, Online, 1906–1919
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald. 2020 · 2020
Earlier work this paper cites.
Threats on the horizon: Understanding security threats in the era of cyber-physical systems
Steven Walker-Roberts, Mohammad Hammoudeh, Omar Aldabbas, Mehmet Aydin, and Ali Dehghantanha. 2020 · 2020
Earlier work this paper cites.
The Effect of the GDPR on Privacy Policies: Recent Progress and Future Promise
Razieh Nokhbeh Zaeem and K. Suzanne Barber. 2020 · 2020
Earlier work this paper cites.
Law in Books and Law in Action: The Readability of Privacy Policies and the GDPR. In Consumer law and economics . Springer International Publishing, Cham, 179–204
Shmuel I Becher and Uri Benoliel. 2021 · 2021
Earlier work this paper cites.
Human-centered explainable ai (xai): From algorithms to user experiences
Q Vera Liao and Kush R Varshney. 2021 · 2021
Earlier work this paper cites.
How to Facilitate Mental Model Building and Mitigate Overtrust Using HCXAI. In CHI’22 Workshop on Human-Centered Explainable AI
Lisa Graichen, Matthias Graichen, and Mareike Petrosjan. 2022 · 2022
Earlier work this paper cites.
On the effect of information asymmetry in human-AI teams
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, and Gerhard Satzger. 2022 · 2022
Earlier work this paper cites.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Cited alongside, same era.
Automating contextual privacy policies: Design and evaluation of a production tool for digital consumer privacy awareness. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery, New York, NY, USA, 1–18
Maximiliane Windl, Niels Henze, Albrecht Schmidt, and Sebastian S Feger. 2022 · 2022
Cited alongside, same era.
Understanding Website Privacy Policies—A Longitudinal Analysis Using Natural Language Processing
Veronika Belcheva, Tatiana Ermakova, and Benjamin Fabian. 2023 · 2023
Cited alongside, same era.
Who’s thinking? A push for human-centered evaluation of LLMs using the XAI playbook
Teresa Datta and John P Dickerson. 2023 · 2023
Cited alongside, same era.
GenAIPABench: A benchmark for generative AI-based privacy assistants
Human-centered evaluation of explainable AI applications: a systematic review
Jenia Kim, Henry Maathuis, and Danielle Sent. 2024 · 2024
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Properties and challenges of llm-generated explanations
Jenny Kunz and Marco Kuhlmann. 2024 · 2024
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Balancing Act: Improving Privacy in AI through Explainability
Rithika Lakshminarayanan and Sanjana Gautam. 2024 · 2024
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Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks. In Proceedings of the CHI Conference on Human Factors in Computing Systems . Association for Computing Machinery, New York, NY, USA, 1–19
Hao-Ping Lee, Yu-Ju Yang, Thomas Serban Von Davier, Jodi Forlizzi, and Sauvik Das. 2024 · 2024
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Exploring Personality-Driven Personalization in XAI: Enhancing User Trust in Gameplay
Zhaoxin Li, Sophie Yang, and Shijie Wang. 2024b · 2024
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Aamir Hamid, Hemanth Reddy Samidi, Tim Finin, Primal Pappachan, and Roberto Yus. 2023 · 2023
Cited alongside, same era.
Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models
Potsawee Manakul, Adian Liusie, and Mark JF Gales. 2023 · 2023
Cited alongside, same era.
Researchers’ experiences in analyzing privacy policies: Challenges and opportunities
Abraham Mhaidli, Selin Fidan, An Doan, Gina Herakovic, Mukund Srinath, Lee Matheson, Shomir Wilson, and Florian Schaub. 2023 · 2023
Cited alongside, same era.
Towards human-centered explainable ai: A survey of user studies for model explanations
Yao Rong, Tobias Leemann, Thai-Trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav Unhelkar, Tina Seidel, Gjergji Kasneci, and Enkelejda Kasneci. 2023 · 2023
Cited alongside, same era.
Neeraj Varshney, Wenlin Yao, Hongming Zhang, Jianshu Chen, and Dong Yu. 2023 · 2023
Cited alongside, same era.
Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Cited alongside, same era.
Transparency in Privacy Policies. In 12th International Conference on Building and Exploring Web Based Environments . IARIA Press, Online, 1–6
Bianca Bartelt and Erik Buchmann. 2024 · 2024
Cited alongside, same era.
Llms instead of human judges? a large scale empirical study across 20 nlp evaluation tasks
Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, et al · 2024
Cited alongside, same era.
Later among the works it cites.
Large language models: a new approach for privacy policy analysis at scale
David Rodriguez, Ian Yang, Jose M Del Alamo, and Norman Sadeh. 2024 · 2024
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AI Should Challenge, Not Obey
Advait Sarkar. 2024a · 2024
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Large Language Models Cannot Explain Themselves
Advait Sarkar. 2024b · 2024
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Fair balancing? Evaluating LLM-based privacy policy ethics assessments. In Proceedings of the Third European Workshop on Algorithmic Fairness (EWAF’24) . CEUR Workshop Proceedings, Aachen, Germany
Erik Buchmann Vincent Freiberger. 2024 · 2024
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Enhancing privacy policy comprehension through Privacify: A user-centric approach using advanced language models
Justin Woodring, Katherine Perez, and Aisha Ali-Gombe. 2024 · 2024
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Justice or prejudice? quantifying biases in llm-as-a-judge
Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, et al · 2024
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Llms for xai: Future directions for explaining explanations
Alexandra Zytek, Sara Pidò, and Kalyan Veeramachaneni. 2024 · 2024
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"You don’t need a university degree to comprehend data protection this way": LLM-Powered Interactive Privacy Policy Assessment. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Vincent Freiberger, Arthur Fleig, and Erik Buchmann. 2025 · 2025
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A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al · 2025
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Limitations of the LLM-as-a-Judge approach for evaluating LLM outputs in expert knowledge tasks. In Proceedings of the 30th International Conference on Intelligent User Interfaces . 952–966
Annalisa Szymanski, Noah Ziems, Heather A Eicher-Miller, Toby Jia-Jun Li, Meng Jiang, and Ronald A Metoyer. 2025 · 2025
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Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, and Shafiq Joty. 2025 · 2025
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