Decoding AI

Decoding AI is a podcast-style series that introduces listeners to how computers understand and work with human language. It is designed as an accessible yet structured guide for students, developers, and language professionals.

Core Focus

The series explores Natural Language Processing (NLP) as a branch of AI that studies the interaction between human language and computers, explaining how machines can analyze, understand, and generate text or speech. Episodes typically move from foundational ideas (tokens, corpora, linguistic structure) to more advanced concepts such as language models, semantic representations, and dialogue systems.​

Format and Style

Each installment is framed more like an educational mini-lecture than a casual chat show, emphasizing clear definitions, practical examples, and connections to real-world applications. The tone targets technically curious listeners who may not be experts, bridging theory and practice in a way that works well for linguists, translators, and early-stage NLP practitioners.​

Topics and Themes

Recurring themes include text pre-processing, classification, information extraction, machine translation, and conversational agents, with attention to both linguistic theory and computational methods. The series also highlights ethical questions and challenges in NLP, such as bias in language models, multilingual resources, and responsible deployment of language technologies.