Main Article Content

Abstract

This article investigates how cyberfeminism and technofeminism intersect with the AI industry, particularly in addressing the complex ethical and social challenges that accompany AI’s rapid growth across various sectors. By analyzing scholarly research, industry insights, and practical case studies, this study outlines how feminist frameworks can meaningfully influence and reshape AI development. Central to this discussion is the role of cyberfeminism and technofeminism in exposing and countering biases and ethical issues embedded within AI technologies. These feminist movements advocate for transparency, inclusivity, and responsible AI, supporting a technology landscape that values equity and human well-being. Additionally, the article provides real-world examples of feminist-led initiatives within the AI field, showcasing their potential to drive positive transformation. Through an intersectional lens, this study emphasizes the need for AI systems that are sensitive to diverse community needs and experiences. The article calls on industry stakeholders to adopt feminist principles and intersectional methods to foster a more equitable, just, and accountable AI ecosystem.

Keywords

Cyberfeminism Technofeminism Ethical AI Inclusivity in Technology Intersectional AI

Article Details

How to Cite
Lubis, A. Y. ., Badry, A. I. ., & Yuliatiningtyas, S. . (2025). Integrating Cyberfeminism and Technofeminism to Address AI Industry Challenges. Golden Ratio of Data in Summary, 5(1), 10–23. https://doi.org/10.52970/grdis.v5i1.813

References

  1. AI Now Institute, 2018. AI Now Report 2018. Available at: https://ainowinstitute.org/.
  2. AI Now Institute, 2019. AI Now Report 2019. Available at: https://ainowinstitute.org/.
  3. Algorithmic Justice League, 2020. Algorithmic Accountability and Ethics in AI.
  4. Available at: https://www.ajl.org/.
  5. Amazon, 2018. Amazon scraps secret AI recruiting tool that showed bias against women.
  6. Reuters.
  7. Angwin, J., Larson, J., Mattu, S. & Kirchner, L., 2016. Machine bias. ProPublica.
  8. Benjamin, R., 2019. Race After Technology: Abolitionist Tools for the New Jim Code. John Wiley & Sons.
  9. Black Girls Code, 2020. Black Girls Code: Empowering Girls of Color in Technology.
  10. Buolamwini, J. & Gebru, T., 2018. Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research.
  11. Crawford, K., 2016. Artificial Intelligence’s white guy problem. The New York Times.
  12. [Accessed 5 November 2024].
  13. Crenshaw, K., 1989. Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory, and antiracist politics. University of Chicago Legal Forum, 1989(1), pp. 139–167.
  14. Dewi, N.K., Suhendra, S. & Sari, D.P., 2020. Gender bias in facial recognition systems in Indonesia: An empirical study. Journal of Information Technology & Software Engineering, 10(2), pp.1-10.
  15. Floridi, L., 2020. The Logic of Information: A Theory of Philosophy as Conceptual Design. Oxford University Press.
  16. Halberstam, J., 2018. The Queer Art of Failure. Duke University Press.
  17. Haraway, D., 1991. Simians, Cyborgs, and Women: The Reinvention of Nature. Routledge.
  18. Irani, L., 2015. Difference and dependence among digital workers. South Atlantic Quarterly, 114(1), pp.225-234.
  19. Ko, D., 2018. Cyberfeminism and AI development: Addressing gender inequalities. Feminist Media Studies.
  20. Ko, K., 2018. Racism in the machine: The problem of bias in artificial intelligence. Feminist AI. Available at: https://feministai.medium.com/racism-in-the-machine-the-problem-of-bias-in-artificial-intelligence-ae3b3aeb0e60.
  21. McKinsey & Company, 2020. Women in the Workplace 2020. Available at: https://www.mckinsey.com/.
  22. McKinsey & Company, 2021. Women in the Workplace 2021: Indonesia. Available at: https://www.mckinsey.com/.
  23. McKinsey & Company, 2024. Women in the Workplace 2024: The 10th-anniversary report. Available at: https://www.mckinsey.com/featured-insights/diversity-and-inclusion/women-in-the-workplace.
  24. MIT Technology Review, 2018. Amazon ditched AI recruitment software because it was biased against women. Available at: https://www.technologyreview.com/2018/10/10/139858/amazon-ditched-ai-recruitment-software-because-it-was-biased-against-women/.
  25. Murray, S., 2019. Making Whiteness: The Culture of Segregation in the South, 1890-1940. Vintage.
  26. Nakamura, L., 2002. Cybertypes: Race, Ethnicity, and Identity on the Internet. Routledge.
  27. Nakamura, L., 2002. Technofeminism in the Digital Age. The Digital Divide Journal.
  28. Noble, S.U., 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press.
  29. Nugroho, Y., 2021. Algorithmic bias in recruitment: Implications for gender equality in Indonesia. Indonesian Journal of Gender Studies, 5(1), pp.45-60.
  30. O'Neil, C., 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group.
  31. Partnership on AI, 2020. AI Ethics and Diversity Guidelines. [Accessed 5 November 2024].
  32. Partnership on AI, 2020. Partnership on AI: Best practices in AI. Available at: https://partnershiponai.org/.
  33. Plant, S., 2000. Cyberfeminism and the Representation of Women in Technology. University of Minnesota Press.
  34. Plant, S., 2000. Zeros + Ones: Digital Women and the New Technoculture. Doubleday.
  35. Project Include, 2018. Project Include: Diversity and inclusion in tech. Available at: https://projectinclude.org/.
  36. Project Include, 2018. The Business Case for Diversity in Tech. [Accessed 5 November 2024].
  37. Sari, D.P., 2021. Women in AI: Data and statistics. Artsmart AI. Available at: https://artsmart.ai/blog/women-in-ai-statistics/#:~:text=Women%20represent%2022%25%20of%20AI%20professionals%20globally.%20According,need%20for%20continued%20efforts%20to%20promote%20gender%20diversity.
  38. Wajcman, J., 2004. TechnoFeminism. Polity Press.
  39. Wajcman, J., 2019. TechnoFeminism. Polity Press.
  40. World Economic Forum, 2020. Global Gender Gap Report 2020. Available at: https://www.weforum.org/reports/.
  41. World Economic Forum, 2020. The Future of Jobs Report 2020. Available at: https://www.weforum.org/reports/.

Similar Articles

<< < 1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.