How existing safety mitigation sa...
How existing safety mitigation safeguards fail in LLMs with Khaoula Chehbouni, PhD Researcher at McGill and MILA

Activists Of Tech — The responsible tech podcast di Activists of Tech

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Large Language Models, or LLMs, may be the most popular type of AI systems, often seen as an alternative to search engines, even though they should not as the information they throw at users only resemble and mimic human speech and is not always factual, among many other issues that are talked about in this episode.

Our guest today is Khaoula Chehbouni, she is a PhD Student in Computer Science at McGill University and Mila (Quebec AI Institute). Khaoula was awarded the prestigious FRQNT Doctoral Training Scholarship to research fairness and safety in large language models. She previously worked as a Senior Data Scientist at Statistics Canada and completed her Masters in Business Intelligence at HEC Montreal, where she received the Best Master Thesis award.

In this episode, we talked about the impact of Western narratives on which LLMs ... 

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techethical technologyinclusionwomen in techmarginalized communitiestechnologysocial justiceartificial intelligencealgorithmartificialintelligenceprivacyfeminismLLMLarge Language Model