Developing Ethical, Inclusive and Accountable Artificial Intelligence Systems for a Human-Centred Society

In an era where Artificial Intelligence (AI) systems increasingly influence multiple critical aspects of human life, the imperative to develop solutions that are ethical, inclusive, and accountable has never been greater. This talk will explore the evolving landscape of AI development, focusing on actionable strategies for ensuring that AI systems serve the needs of a diverse global society. Drawing from real world use cases, peer-reviewed research, and industry best practices, I will share the key challenges and opportunities in developing responsible AI at scale. We will delve into the technical underpinnings of bias in development, bias detection and mitigation, inclusive data curation, transparent model interpretability, and robust governance structures. Emphasis will be placed on the integration of human-centered design and development principles throughout the AI system design lifecycle, from ideation to deployment and monitoring. Attendees will leave with a deeper understanding of how to architect AI systems that not only focus on technological innovation but also uphold human dignity, foster societal trust, and drive equitable outcomes.