Gender Bias in AI

References:

basics – Bias and Fairness in AI. (2022, September 14). Bias-And-Fairness-In-Ai-Systems.de. https://bias-and-fairness-in-ai-systems.de/en/basics
Baraniuk, C. (2022). Why your voice assistant might be sexist. www.bbc.com. https://www.bbc.com/future/article/20220614-why-your-voice-assistant-might-be-sexist
Bryant, D., Borenstein, J. and Howard, A. (2020). Why Should We Gender? Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. https://doi.org/10.1145/3319502.3374778
builtin.com. (n.d.). Do AI Voice Assistants Reinforce Gender Bias? | Built In. https://builtin.com/artificial-intelligence/ai-voice-assistant-bias
Cambridge Dictionary. (2022, February 23). data. CambridgeWords. https://dictionary.cambridge.org/de/worterbuch/englisch/data
Cirillo, D., Catuara-Solarz, S., Morey, C., Guney, E., Subirats, L., Mellino, S., Gigante, A., Valencia, A., Rementeria, M. J., Chadha, A. S., & Mavridis, N. (2020). Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare. Npj Digital Medicine, 3(1). https://doi.org/10.1038/s41746-020-0288-5
Hitron, T., Megidish, B., Todress, E., Morag, N. and Erel, H. (2022). AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots. IEEE Xplore. https://doi.org/10.1109/RO-MAN53752.2022.9900673
Liang, P., Wu, C., Morency, L.-P., & Salakhutdinov, R. (n.d.). Towards Understanding and Mitigating Social Biases in Language Models. http://proceedings.mlr.press/v139/liang21a/liang21a.pdf
Nadeem, M., Bethke, A., & Reddy, S. (n.d.). StereoSet: Measuring stereotypical bias in pretrained language models. https://arxiv.org/pdf/2004.09456
Nomura, T. (2019). A possibility of inappropriate use of gender studies in human-robot Interaction. AI & SOCIETY. https://doi.org/10.1007/s00146-019-00913-y
Robison, C.C. and M. (2020). How AI bots and voice assistants reinforce gender bias. Brookings. https://www.brookings.edu/research/how-ai-bots-and-voice-assistants-reinforce-gender-bias/
Sun, T., Gaut, A., Tang, S., Huang, Y., ElSherief, M., Zhao, J., Mirza, D., Belding, E., Chang, K.-W. and Wang, W.Y. (2019). Mitigating Gender Bias in Natural Language Processing: Literature Review. https://arxiv.org/abs/1906.08976.