Bias

Evaluating the Cultural Relevance of AI Models and Products: Insights from the YUX Team

Evaluating the Cultural Relevance of AI Models and Products: Insights from the YUX Team

Drawing from their work fine-tuning an ASR model in Wolof and building a stereotype detection dataset, researchers from YUX share a practical toolbox for evaluating the cultural relevance of AI models and products. The session covers methods for data collection, model benchmarking, user testing, and introduces LOOKA, a platform for scalable human evaluation in the African context.

Ethics in AI: Biases & Responsibilities • Michelle Frost & Hannes Lowette

Ethics in AI: Biases & Responsibilities • Michelle Frost & Hannes Lowette

AI advocate Michelle Frost and consultant Hannes Lowette discuss the complex ethical landscape of AI development. They cover the value alignment problem, balancing competing values like accuracy versus fairness, the impact of recent US regulatory changes, and market disruptions from innovations like Deep Seek, ultimately calling for individual and corporate accountability to develop AI responsibly.