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NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.29 no.3, 2023년, pp.125 - 144
이위 (경희대학교 경영학과) , 황경화 (경희대학교 빅데이터응용학과) , 최지애 (칼빈대학교 글로벌문화경영학과) , 권오병 (경희대학교 AI대학원)
Recently, the use of Large Language Models (LLMs) such as ChatGPT has been increasing in various fields such as interactive commerce and mobile financial services. However, LMMs, which are mainly created by learning existing documents, can also learn various human biases inherent in documents. Never...
김세형, 윤태영, 강주영. (2023). BERTopic과?소셜 네트워크 분석 기반 고령화 단계별?판례분석을 통한 분쟁 유형 도출에 관한?연구. 한국전자거래학회지, 28(1), 123-144.
이준식, 박도형. Are you a Machine or Human?:?소셜 로봇의 인간 유사성과 소비자 해석?수준이 의인화에 미치는 영향. 지능정보?연구, 2021, 27(1): 129-149.
이정선, 서보밀, 권영옥. 인공지능이 의사결정에?미치는 영향에 관한 연구: 인간과 인공지능의 협업 및 의사결정자의 성격 특성을 중심으로. 지능정보연구, 2021, 27(3): 231-252.
김회정, 권오병. (2023). 뉴스 기사 감성분석을?활용한 고령층 연령차별 양상 및 COVID-19?조절효과 연구. 한국전자거래학회지,?28(1), 55-76.?
Behnia, R., Ebrahimi, M. R., Pacheco, J., &?Padmanabhan, B. (2022, November). EW-Tune:?A Framework for Privately Fine-Tuning Large?Language Models with Differential Privacy.?In 2022 IEEE International Conference on?Data Mining Workshops (ICDMW) (pp. 560-566).?IEEE.
Belk, R. (2021). Ethical issues in service robotics?and artificial intelligence. The Service Industries?Journal, 41(13-14), 860-876
Bellegarda, J. R. (2004). Statistical language model?adaptation: review and perspectives. Speech?Communication, 42(1), 93-108.
Breidbach, C. F., & Maglio, P. (2020). Accountable?algorithms? The ethical implications of data-driven business models. Journal of Service?Management, 31(2), 163-185.
Chernyaeva, O., & Hong, T. (2022). The Detection of?Online Manipulated Reviews Using Machine?Learning and GPT-3. 지능정보연구, 28(4),?347-364.
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019).?Artificial intelligence for decision making in?the era of Big Data-evolution, challenges?and research agenda. International Journal of?Information Management, 48, 63-71.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E.?L., Jeyaraj, A., Kar, A. K., ... & Wright, R.?(2023). "So what if ChatGPT wrote it?"?Multidisciplinary perspectives on opportunities,?challenges and implications of generative?conversational AI for research, practice and?policy. International Journal of Information?Management, 71, 102642.
Guan, C., Wang, X., Zhang, Q., Chen, R., He, D.,?& Xie, X. (2019, May). Towards a deep and?unified understanding of deep neural models in?nlp. In International conference on machine?learning (pp. 2454-2463). PMLR.
Hall, P., & Ellis, D. (2023). A systematic review of?socio-technical gender bias in AI algorithms.?Online Information Review.
Khlaaf, H., Mishkin, P., Achiam, J., Krueger, G.,?& Brundage, M. (2022). A hazard analysis?framework for code synthesis large language?models. arXiv preprint arXiv:2207.14157.
Khowaja, S. A., Khuwaja, P., & Dev, K. (2023).?ChatGPT Needs SPADE (Sustainability, PrivAcy,?Digital divide, and Ethics) Evaluation: A Review. arXiv preprint arXiv:2305.03123.
Kushwaha, A. K., & Kar, A. K. (2021). MarkBot-a?language model-driven chatbot for interactive?marketing in post-modern world. Information?Systems Frontiers, 1-18.
Li, H., Moon, J. T., Purkayastha, S., Celi, L. A.,?Trivedi, H., & Gichoya, J. W. (2023). Ethics?of large language models in medicine and?medical research. The Lancet Digital Health.
Li, Y., Tan, Z., & Liu, Y. (2023). Privacy-Preserving?Prompt Tuning for Large Language Model?Services. arXiv preprint arXiv:2305.06212.
Livingston, M. (2020). Preventing racial bias in?federal ai. Journal of Science Policy and?Governance, 16.
Lokman, A. S., & Ameedeen, M. A. (2019).?Modern chatbot systems: A technical review.?In Proceedings of the Future Technologies?Conference (FTC) 2018: Volume 2 (pp. 1012-1023). Springer International Publishing.
Malik, T., Dwivedi, Y., Kshetri, N., Hughes, L.,?Slade, E. L., Jeyaraj, A., ... & Wright, R.?(2023). "So what if ChatGPT wrote it?"?Multidisciplinary perspectives on opportunities,?challenges and implications of generative?conversational AI for research, practice and?policy. International Journal of Information?Management, 71, 102642.
Marcus, G., & Davis, E. (2023). Large language?models like ChatGPT say the darnedest things.?The Road to AI We Can Trust.
McKinsey & Company (2023). What is generative?AI?
Melis, G., Dyer, C., & Blunsom, P. (2017). On the?state of the art of evaluation in neural language?models. arXiv preprint arXiv:1707.05589.
Oppy, G., & Dowe, D. (2021). The Turing Test. In?E. N. Zalta (Ed.), The Stanford Encyclopedia?of Philosophy. Winter Edition.
Parrish, Alicia et al. "BBQ: A hand-built bias?benchmark for question answering." Findings?(2021).
Radford, A., Narasimhan, K., Salimans, T., & Sutskever,?I. (2018). Improving language understanding?by generative pre-training.
Rotaru, V., Huang, Y., Li, T., Evans, J., &?Chattopadhyay, I. (2022). Event-level prediction?of urban crime reveals a signature of enforcement?bias in US cities. Nature Human Behaviour,?6(8), 1056-1068.
Rozado, D. (2023). Danger in the Machine: The?Perils of Political and Demographic Biases?Embedded in AI Systems. Manhattan?Institute.
Rudinger, R., Naradowsky, J., Leonard, B. and?Van Durme, B. (2018). Gender bias in?coreference resolution. In Proceedings of the?2018 Conference of the North American?Chapter of the Association for Computational?Linguistics: Human Language Technologies,?Volume 2 (Short Papers), pages 8-14, New?Orleans, Louisiana. Associationfor Computational?Linguistics.
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT:?Bullshit spewer or the end of traditional?assessments in higher education? Journal of?Applied Learning and Teaching, 6(1), 342-363
Ruiz, E., & Sedeno, E. (2023). Gender Bias in?Artificial Intelligence. In Gender in AI and?Robotics: The Gender Challenges from an?Interdisciplinary Perspective (pp. 61-75). Cham:?Springer International Publishing.
Sheng, E., Chang, K., Natarajan, P. and Pengm N. 2019. The woman worked as a babysitter: On?biases in language generation. In Proceedings?of the 2019 Conference on Empirical Methods?in Natural Language Processing and the 9th?International Joint Conference on Natural?Language Processing (EMNLP-IJCNLP), pages?3407-3412, Hong Kong, China. Association?for Computational Linguistics.
Song, Z., Mellon, G., & Shen, Z. (2020). Relationship?between racial bias exposure, financial literacy,?and entrepreneurial intention: An empirical?investigation. Journal of Artificial Intelligence?and Machine Learning in Management, 4(1),?42-55.
Turing, A. M. (1950). Computing machinery and?intelligence. The Essential Turing: The Ideas?That Gave Birth to the Computer Age, 433-464.
Tyagi, N., & Bhushan, B. (2023). Demystifying the?role of natural language processing (NLP) in?smart city applications: Background, motivation,?recent advances, and future research directions.?Wireless Personal Communications, 130(2),?857-908.
Varaprasad, R., & Mahalaxmi, G. (2022). Applications?and techniques of natural language processing:?An overview. IUP Journal of Computer Sciences,?16(3), 7-21.
Varsha, P. S. (2023). How can we manage biases in?artificial intelligence systems-A systematic?literature review. International Journal of?Information Management Data Insights, 3(1), 100165.
Walkowiak, E. (2023). Digitalization and inclusiveness?of HRM practices: The example of neurodiversity?initiatives. Human Resource Management Journal.
Wirtz, J., & Zeithaml, V. (2018). Cost-effective service?excellence. Journal of the Academy of Marketing?Science, 46(1), 59-80.
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