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@article{einstein, | ||
author = "Albert Einstein", | ||
title = "On the Electrodynamics of Moving Bodies", | ||
journal = "Annalen der Physik", | ||
year = "1905", | ||
volume = "322", | ||
pages = "891--921" | ||
} | ||
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||
@article{konidena2024ethical, | ||
title={Ethical Considerations in the Development and Deployment of AI Systems}, | ||
author={Konidena, Bhargav Kumar and Malaiyappan, Jesu Narkarunai Arasu and Tadimarri, Anish}, | ||
journal={European Journal of Technology}, | ||
volume={8}, | ||
number={2}, | ||
pages={41--53}, | ||
year={2024} | ||
} | ||
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||
@article{peng2024securing, | ||
title={Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks}, | ||
author={Peng, Benji and Chen, Keyu and Li, Ming and Feng, Pohsun and Bi, Ziqian and Liu, Junyu and Niu, Qian}, | ||
journal={arXiv preprint arXiv:2409.08087}, | ||
year={2024} | ||
} | ||
|
||
@article{boix2022machine, | ||
title={Can machine-learning models overcome biased datasets?}, | ||
author={Boix, Xavier and Tenenbaum, Joshua B. and Torralba, Antonio}, | ||
journal={MIT News}, | ||
year={2022}, | ||
url={https://news.mit.edu/2022/machine-learning-biased-data-0221} | ||
} | ||
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||
@misc{pymetrics2022audit, | ||
title={audit-AI: Open Sourced Bias Testing for Generalized Machine Learning Applications}, | ||
author={pymetrics}, | ||
year={2022}, | ||
howpublished={\url{https://github.com/pymetrics/audit-ai}}, | ||
note={GitHub repository} | ||
} | ||
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||
@inproceedings{kim2024domain, | ||
title={Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability}, | ||
author={Seokhyeon Ha, Sunbeom Jung, Jungwoo Lee}, | ||
booktitle={Proceedings of the 38th AAAI Conference on Artificial Intelligence}, | ||
year={2024} | ||
} | ||
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||
@article{zhang2023mitigating, | ||
title={Bias-Aware Low-Rank Adaptation: Mitigating Catastrophic Inheritance of Large Language Models}, | ||
author={Zhang, Xingchen and Ren, Zhuosheng and Jiang, Yihong and Zhao, Dongyan and Zhang, Rui}, | ||
journal={arXiv preprint arXiv:2408.04556}, | ||
year={2023} | ||
} | ||
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@article{aquino2023practical, | ||
title={Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives}, | ||
author={Aquino, Yves Saint James and Carter, Stacy M and Houssami, Nehmat and Braunack-Mayer, Annette and Win, Khin Than and Degeling, Chris and Wang, Lei and Rogers, Wendy A}, | ||
journal={Journal of Medical Ethics}, | ||
year={2023}, | ||
publisher={Institute of Medical Ethics} | ||
} | ||
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||
@article{he2024emerged, | ||
title={The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies}, | ||
author={He, Feng and Zhu, Tianqing and Ye, Dayong and Liu, Bo and Zhou, Wanlei and Yu, Philip S}, | ||
journal={arXiv preprint arXiv:2407.19354}, | ||
year={2024} | ||
} | ||
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@article{friha2024llm, | ||
title={LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness}, | ||
author={Friha, Othmane and Ferrag, Mohamed Amine and Kantarci, Burak and Cakmak, Burak and Ozgun, Arda and Ghoualmi-Zine, Nassira}, | ||
journal={IEEE Open Journal of the Communications Society}, | ||
year={2024}, | ||
publisher={IEEE} | ||
} | ||
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@article{mccoy2023ethical, | ||
title={Ethical responsibilities for companies that process personal data}, | ||
author={McCoy, Matthew S and Allen, Anita L and Kopp, Katharina and Mello, Michelle M and Patil, DJ and Ossorio, Pilar and Joffe, Steven and Emanuel, Ezekiel J}, | ||
journal={The American Journal of Bioethics}, | ||
volume={23}, | ||
number={11}, | ||
pages={11--23}, | ||
year={2023}, | ||
publisher={Taylor \& Francis} | ||
} | ||
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@article{chen2024trustworthy, | ||
title={Trustworthy, Responsible, and Safe AI: A Comprehensive Architectural Framework for AI Safety with Challenges and Mitigations}, | ||
author={Chen, Chen and Liu, Ziyao and Jiang, Weifeng and Qi, Goh Si and Lam, KwoK-Yan}, | ||
journal={arXiv preprint arXiv:2408.12935}, | ||
year={2024} | ||
} | ||
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@article{ray2023chatgpt, | ||
title={ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope}, | ||
author={Ray, Partha Pratim}, | ||
journal={Internet of Things and Cyber-Physical Systems}, | ||
volume={3}, | ||
pages={121--154}, | ||
year={2023}, | ||
publisher={Elsevier} | ||
} | ||
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@incollection{rosenstrauch2023artificial, | ||
title={Artificial Intelligence and Ethics}, | ||
author={Rosenstrauch, Doreen and Mangla, Utpal and Gupta, Atul and Masau, Costansia Taikwa}, | ||
booktitle={Digital Health Entrepreneurship}, | ||
pages={225--239}, | ||
year={2023}, | ||
publisher={Springer} | ||
} |