Deep Learning for ESG: Advances and Limitations

Explore recent advancements in natural language processing and their applications to Environmental, Social, and Governance (ESG) analysis in this 24-minute conference talk from the Toronto Machine Learning Series. Delve into the advantages of transformer models and transfer learning approaches for common ESG analysis problems. Examine the current limitations of deep learning technology in the ESG domain and identify areas where human involvement remains crucial. Gain insights from Alik Sokolov, Co-Founder and CEO of SR.AI, as he shares his expertise spanning finance, AI, and ESG investing, drawing from his experience in consulting, venture capital, and academic research.

Deep Learning for ESG Advances and Limitations