Culturally Responsive Artificial Intelligence – Problems, Challenges and Solutions

Authors

DOI:

https://doi.org/10.12797/RM.02.2023.14.07

Keywords:

cultural responsibility, cultural responsiveness, AI systems, AI algorithms

Abstract

In the contemporary interconnected world, the concept of cultural responsibility occupies paramount importance. As the lines between nations become less distinct, it is incumbent upon individuals, communities, and institutions to assume the responsibility of safeguarding and valuing the landscape of diverse cultures that constitute our global society. This paper explores the socio-cultural and ethical challenges stemming from the implementation of AI algorithms and highlights the necessity for their culturally responsive development. It also offers recommendations on essential elements required to enhance AI systems’ adaptability to meet the demands of contemporary multicultural societies. The paper highlights the need for further multidisciplinary research to create AI models that effectively address these challenges. It also advocates the significance of AI enculturation and underlines the importance of regulatory measures to promote cultural responsibility in AI systems.

References

Adams, S. T. 1986. Artificial Intelligence, Culture, and Individual Responsibility, Technology in Society, 8(4), 251–257, https://doi.org/10.1016/0160-791X(86)90014-X. DOI: https://doi.org/10.1016/0160-791X(86)90014-X

Al Mansoori, S., Salloum, S. A., & Shaalan, K. 2021. The Impact of Artificial Intelligence and Information Technologies on the Efficiency of Knowledge Management at Modern Organizations: A Systematic Review. In M. Al-Emran, K. Shaalan, A. Hassanien (eds), Studies in

Systems, Decision and Control, Cham: Springer, 163–182, https://doi.org/10.1007/978-3-030-47411-9_9. DOI: https://doi.org/10.1007/978-3-030-47411-9_9

Asimov, I. 1942. Runaround. In J. W. Campbell, Jr. (ed.), Astounding Science Fiction, New York: Street & Smith Publications, Inc.

Biddle, S. 2022. December 8. The Internet’s New Favorite AI Proposes Torturing Iranians and Surveilling Mosques, The Intercept. Retrieved from https://theintercept.com/2022/12/08/openai-chatgpt-ai-bias-ethics/.

Buolamwini, J., & Gebru, T. 2018. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency, 77–91.

Cao, Y., Zhou, L., Lee, S., Cabello, L., Chen, M., & Hershcovich, D. 2023. Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study, arXiv:2303.17466, https://doi.org/10.48550/arXiv.2303.17466. DOI: https://doi.org/10.18653/v1/2023.c3nlp-1.7

Castells, M. 2008. Społeczeństwo sieci. M. Marody et al. (przeł). Warszawa: Wydawnictwo Naukowe PWN.

Cyberspace Administration of China. 2023. Interim Measures for Generative Artificial Intelligence Service Management. Retrieved from http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm.

Doueihi, M. 2011. Digital Cultures. Cambridge: Harvard University Press.

Eberhard, D. M., Simons, G. F., & Fennig, C. D. 2023. Ethnologue: Languages of the World (26th ed.), Dallas: SIL International.

European Commission. 2023. Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/uri=CELEX:52021PC0206.

European Parliament. 2023. EU AI Act: First Regulation on Artificial Intelligence. Retrieved from https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence.

Golka, M. 2010. Imiona wielokulturowości, Warszawa: Warszawskie Wydawnictwo Literackie Muza.

Haenlein, M., & Kaplan, A. 2019. A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence, California Management Review, 61(4), 5–14, https://doi.org/10.1177/0008125619864925. DOI: https://doi.org/10.1177/0008125619864925

Huang, J., Galal, G., Etemadi, M., & Vaidyanathan, M. 2022. Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review, JMIR Medical Informatics, 10(5), 1–13, https://doi.org/10.2196/36388. DOI: https://doi.org/10.2196/36388

Kayser-Bril, N. 2020. April 7. Google Apologizes after Its Vision AI Produced Racist Results, Algorithm Watch. Retrieved from https://algorithmwatch.org/en/google-vision-racism/.

Kordzadeh, N., & Ghasemaghaei, M. 2022. Algorithmic Bias: Review, Synthesis, and Future Research Directions, European Journal of Information Systems, 31(3), 388–409, https://doi.org/10.1080/0960085X.2021.1927212. DOI: https://doi.org/10.1080/0960085X.2021.1927212

Kroeber, A. L. 2007. Istota kultury. In M. Nowicka, M. Głowacka-Grajper (eds), Świat człowieka – świat kultury. Antologia tekstów klasycznej antropologii, Warszawa: Wydawnictwo Naukowe PWN, 279–289.

Kumar, R. S. 2023. September 7. Forget Problem-Solving. In the Age of AI, It’s Problem-Finding That Counts, World Economic Forum. Retrieved from https://www.weforum.org/agenda/2023/09/forget-problem-solving-in-the-age-of-ai-its-problem-finding-that-matters/.

Kwiatkowska, A. 2019. Wielokulturowość w ujęciu interdyscyplinarnym, Warszawa: Wydawnictwo Naukowe PWN.

Kymlicka, W. 1995. Multicultural Citizenship, Oxford: Oxford University Press, https://doi.org/10.1093/0198290918.001.0001. DOI: https://doi.org/10.1093/0198290918.001.0001

Little, J. C., Granger, M., Adams, E. S., Holvikivi, J., Lippert, S. K., Walker, H. M., & Young, A. 2001. Integrating Cultural Issues into the Computer and Information Technology Curriculum, ACM SIGCSE Bulletin, 33(2), 136–154, https://doi.org/10.1145/571922.571967. DOI: https://doi.org/10.1145/571922.571967

Messner, W. 2022. Improving the Cross-Cultural Functioning of Deep Artificial Neural Networks through Machine Enculturation, International Journal of Information Management Data Insights, 2(2), 1–9, https://doi.org/10.1016/j.jjimei.2022.100118. DOI: https://doi.org/10.1016/j.jjimei.2022.100118

Miller, K. L., Cruz, A. R., & Alai’i-Rosales, S. 2019. Inherent Tensions and Possibilities: Behavior Analysis and Cultural Responsiveness, Behavior and Social Issues, 28, 16–26, https://doi.org/10.1007/s42822-019-00010-1. DOI: https://doi.org/10.1007/s42822-019-00010-1

Neri, H. 2020. The Risk Perception of Artificial Intelligence, Lanham: Lexington Books.

Nikitorowicz, J. 2015. Wielokulturowość w procesie. Ku wielowymiarowej tożsamości społeczno-kulturowej. In M. Bieńkowska, W. Żelazny (eds), Pogranicza. Księga Jubileuszowa Profesora Andrzeja Sadowskiego, Białystok: Wydawnictwo Uniwersytetu w Białymstoku, 13–32.

Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., Kompatsiaris, I., Kinder-Kurlanda, K., Wagner, C., Karimi, F., Fernandez, M., Alani, H., Berendt, B., Kruegel, T., Heinze, Ch., Broelemann, K., Kasneci, G., Tiropanis, T., & Staab, S. 2020. Bias in Data-Driven Artificial Intelligence Systems—An Introductory Survey, WIREs Data Mining and Knowledge Discovery, 10(3), 1–14, https://doi.org/10.1002/widm.1356. DOI: https://doi.org/10.1002/widm.1356

Obermeyer, Z., Powers, B., Vogeli, Ch., & Mullainathan, S. 2019. Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations, Science, 366(6464), 447–453, https://doi.org/10.1126/science.aax2342. DOI: https://doi.org/10.1126/science.aax2342

OpenAI. 2023. GPT-4 Technical Report, arXiv:2303.08774, 1–100, https://doi.org/10.48550/arXiv.2303.08774.

Paleczny, T. 2019. Krytyka ujęć modelowych wielokulturowości, Politeja, 4(61), 19–39, https://doi.org/10.12797/Politeja.16.2019.61.02. DOI: https://doi.org/10.12797/Politeja.16.2019.61.02

Penn, J. 2021. Inventing Intelligence: On the History of Complex Information Processing and Artificial Intelligence in the United States in the Mid-Twentieth Century. PhD thesis, University of Cambridge, Cambridge, https://doi.org/10.17863/CAM.63087.

Ramdurai, B., & Adhithya, P. 2023. The Impact, Advancements and Applications of Generative AI, International Journal of Computer Science and Engineering, 10(6), 1–8, https://doi.org/10.14445/23488387/IJCSE-V10I6P101. DOI: https://doi.org/10.14445/23488387/IJCSE-V10I6P101

Rico-García, M., & Fielden Burns, L. V. 2020. Intercultural Communication in Engineering Studies: A Key Competence in Global Labour Markets, European Journal of Engineering Education, 45(6), 833–853, https://doi.org/10.1080/03043797.2019.1654980. DOI: https://doi.org/10.1080/03043797.2019.1654980

Sarker, I. H. 2021. Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions, SN Computer Science 2, 1–20, https://doi.org/10.1007/s42979-021-00815-1. DOI: https://doi.org/10.1007/s42979-021-00815-1

Thorpe, Q., & Williams-York, B. 2012. Incorporating Cultural Competency into a Physical Therapist Assistant Curriculum, Journal of Best Practices in Health Professions Diversity: Education, Research & Policy, 5(2), 810–819.

Vitali-Rosati, M., Sinatra M. (eds.) 2014. Pratiques de l’édition numérique. Presses de l’Université de Montréal. DOI: https://doi.org/10.4000/books.pum.306

White House. 2023. Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People, The White House. Retrieved from https://www.whitehouse.gov/ostp/aibill-of-rights/.

Zaino, G., Recchiuto, C. T., & Sgorbissa, A. 2022. Culture-to-Culture Image Translation and User Evaluation, arXiv:2201.01565, 1–41, https://doi.org/10.48550/arXiv.2201.01565.

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Published

2023-12-28

How to Cite

Ożegalska-Łukasik, N., & Łukasik, S. (2023). Culturally Responsive Artificial Intelligence – Problems, Challenges and Solutions. Intercultural Relations, 7(2(14), 106–119. https://doi.org/10.12797/RM.02.2023.14.07