AI Ethics and Hate Speech
By Maha Jouini This module explores the intersection between AI and hate speech in the context of the MENA region. Maha Jouini discusses how algorithms have exacerbated the challenge of hate speech, highlighting the role of social media platforms like Facebook and Twitter in further spreading harmful content. She goes on to explain the far reaching consequences of hate speech in the region, drawing on her years of work as an activist. The module concludes with an overview of potential solutions to the challenge, which offer lessons for actors engaged in building ethical AI systems across the world.
Read, Watch, and Listen
- Improving Hate Speech Detection with Deep Learning Ensembles, Zimmerman, Steven, Chris Fox and Udo Kruschwitz. "Improving Hate Speech Detection with Deep Learning Ensembles." Paper presented at the Language Resources and Evaluation Conference, Miyazaki, Japan, May 2018.
- HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection, Cao, Rui and Roy Ka-Wei Lee. "HateGAN: Adversial Generative-Based Data Augmentation for Hate Speech Detection." Paper presented at the 28th International Conference on Computational Linguistics, Barcelona, Spain, January 2020.
- No amount of “AI” in content moderation will solve filtering’s prior-restraint problem, Llansó, Emma J.. "No amount of 'AI' in content moderation will solve filtering’s prior-restraint problem." Big Data & Society, vol. 7, no. 1, 2020.