AI series part 2: Unveiling the Black Box: Introduction to XAI
Unveil the black box of Artificial Intelligence with XAI.
In today's world, AI models are becoming increasingly complex and powerful which can make it difficult to understand why and how a decision was made. The remarkable success of language models, GPT variants in particular, gives rise to several concerns about their trustworthiness, ethics, and accountability. In this view, Explainable AI (XAI) is an emerging field in which researchers are working towards supporting automated decisions with human-understandable evidence to engender user trust and encourage wider adoption.
Whether you are a machine learning practitioner, a business leader, or simply interested in the future of AI, this event will provide valuable insights into the importance of XAI and its application to existing state-of-the-art models and AI systems.
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- Starts 27 March 2023 04:00 PM UTC
- Ends 29 March 2023 05:00 PM UTC
- No Admission Charge
Speakers
Julia
Artificial Intelligence with XAI
Our esteemed speaker, Dr. Julia El Zini, will discuss the concept of Explainable AI (XAI), and its terminology, and will demonstrate how transparency could be achieved in classifiers and language models. Julia is an AI Specialist with a passion for developing responsible AI algorithms and solutions.
Biography:
Dr. Julia El Zini is an AI Specialist with a passion for developing responsible AI algorithms and solutions. She earned her M.S. in computer science and Ph.D. in Electrical and Computer Engineering from the American University of Beirut (AUB) in 2017 and 2022, respectively. With over 6 years of experience in the field of Machine Learning, Julia has developed expertise in NLP, Reinforcement Learning, and XAI from theoretical and empirical perspectives. Throughout her career, Julia has published over 12 papers in various fields of AI and commercialized several research prototypes.