Yash Akbari
Final year BEng Computer Science student focusing in embedded systems and cloud technologies. I have developed practical
skills through projects involving IoT, systems engineering, and data processing. My experience includes working with generative AI,
network management, and information security. These projects have provided me with a solid foundation in real-world technological
challenges and prepared me to tackle complex issues in the field.
Session
As IoT devices increasingly rely on real-time decision-making, generative AI offers immense potential to enhance these processes by predicting complex data patterns. However, this raises important questions about trust: Can AI be relied upon to make autonomous decisions, and how can we ensure its transparency and ethical integrity? This talk will explore the trustworthiness of generative AI in real-time IoT, covering technical challenges, best practices for ensuring accuracy and reliability, and the role of explainable AI (XAI). We will also address ethical and privacy concerns, providing insights on balancing innovation with responsible AI development.