by Madiha Shakil Mirza | at Minnebar 17
A session about technological evolution leading to Generative AI models, how Generative AI models are built, ethical considerations for Generative AI such as Bias, Privacy, Copyright, Intellectual Property Rights, Misinformation, Environmental Impact and how we can play our part to ensure that these models are developed and used responsibly.
Madiha Shakil Mirza 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 and research are in the field of Natural Language Processing (NLP), a sub-field of Artificial Intelligence. Her thesis “Language Models for Interpretation of English Puns” focuses on Computational Humor, a branch of NLP which uses Machine Learning and Deep Learning algorithms to create computers and conversational agents (voice assistants, chat bots) that have amusing personalities.
Her research on “A Feature Engineering Approach to Irony Detection in English Tweets” has been published in the Proceedings of The 12th International Workshop on Semantic Evaluation (2018), Association for Computational Linguistics, New Orleans, LA.
