Biased AI=Biased society : Uncovering gender and racial discrimination in AI-based systems

While AI systems are rapidly transforming human life, there has been a growing concern for a decade on prejudices and systematic discrimination caused by those sociotechnical systems embedded in critical domains and education, criminal justice, healthcare, and social security/support. While society tries to proceed with the capabilities and limitations of AI to mirror societal biases into the monopolistic systems, the question is no longer "How to develop AI systems that are unbiased" but "Who decides about AI systems and data embodied into those models.". This speech will enlighten the critical questions around GenAI applications from a socio-technical perspective, debating about the data economy created in past decade, challenging the status quo, and the way next generations will be effected by it.