Overcoming Bias: Building Inclusive AI. With Saiph Savage and Lili Savage

Artificial intelligence (AI) has become a daily companion for many—summarizing texts, providing quick answers, or finding the right image for a presentation. What often goes unnoticed, however, is that AI systems are far from neutral. Distortions in training data, the concentration of AI development in the Global North, dominant cultural perspectives, and the lack of material in less widely used languages all contribute to biases that algorithms reproduce and even amplify. In their ifa study “Inclusive and Secure Artificial Intelligence: A Global Perspective on Policy and Technical Developments”, researchers Dr Saiph Savage and Lili Savage examine how these distortions arise and explore ways to address them. In this episode of ‘Die Kulturmittler:innen’, they join host Amira El Ahl to discuss inclusive AI design, the role of cultural institutions and international NGOs, and how we can work toward more ethical and inclusive AI systems.

Shownotes: Find the ifa study „Inclusive and Secure Artificial Intelligence” under: https://culturalrelations.ifa.de/en/research/results/inclusive-and-secure-artificial-intelligence/ More on the topic of inclusive Artificial Intelligence: https://culturalrelations.ifa.de/en/research/results/democratising-ai-through-culture/ Podcast episode with Octavio Kulesz on Navigating AI in the Cultural Sector: https://www.ifa.de/deep-dive-navigating-ai-in-the-cultural-sector-with-octavio-kulesz-ifa-podcast/

For all other information visit our website: https://culturalrelations.ifa.de/en/ To learn more about ifa: https://www.ifa.de/en/

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