#OPENBOX - Carol Anderson - Zero-Shot Learning Part 2

OPENBOX aims to bring an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in various areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series. Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems. This project is done in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization that minimizes the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more, visit https://forhumanity.center/. Today, we have Carol with us. Carol Anderson machine learning practitioner working on NLP for the past 5 years, most recently with Nvidia. Before this, she was working in the field of molecular biology. She is currently focusing on AI ethics, given the potential harm that AI contributes to people. She wants to use her skills to prevent those harms. I am glad to be having a conversation with him. We will cover a paper titled “Issues with Entailment-based Zero-shot Text Classification,” published in 2021.  and also discuss specific practical issues associated with Zero-shot learning. This is part 2 of the conversation. She covers the difficulty of classifying among the available options, labor-intensive label design, and the underlying bias encoded in models.  --- Send in a voice message: https://podcasters.spotify.com/pod/show/ryan-carrier3/message

Om Podcasten

ATGO AI is podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).