Language Modeling, Ethical Considerations of Generative AI, and Responsible AI


My session will focus on:

• Technological evolution in Artificial Intelligence and Natural Language Processing which led to Generative AI
• What is Generative AI
• How Generative AI differs from Machine Learning and Deep Learning
• How Large Language Models are built
• The difference between Statistical Language Models vs Neural Language Models
• Ethical considerations for Generative AI such as Bias, Privacy, Copyright, Intellectual Property Rights, Misinformation, and Environmental Impact
• Responsible AI and how we can play our part to ensure that Large Language Models are developed and used responsibly


Madiha Shakil Mirza is an AI Engineer with research background and consulting experience in Natural Language Processing (NLP), Generative AI, Machine Learning, and Deep Learning across various industries. She is currently part of the Artificial Intelligence Practice at Avanade. Madiha graduated from the University of Minnesota with a degree in Master of Science in Computer Science. She was a Graduate Research Assistant and Graduate Teaching Assistant in the Department of Computer Science at the University of Minnesota. Her graduate thesis, titled ""Language Models for Interpretation of English Puns,"" focused on building Language Models for Computational Humor to create computers and conversational agents (voice assistants, chat bots) with humorous personalities capable of engaging in human like conversations. Madiha is also a published researcher in NLP, with her work on “A Feature Engineering Approach to Irony Detection in English Tweets” published in the Proceedings of The 12th International Workshop on Semantic Evaluation (June 2018), Association for Computational Linguistics, New Orleans, Louisiana.

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