AI Innovations and Ethical Dilemmas: From Hallucination Detection to Copyright Controversies

Explore groundbreaking advancements in AI with the RAG-check framework tackling hallucinations in multi-modal systems and SepLLM's efficient sparse attention mechanism. Delve into the ethical and legal challenges as Meta faces allegations of using pirated books for AI training. Plus, learn about the US-led UN resolution aiming to set global AI standards. This episode offers a deep dive into the future of AI technology and its societal implications.

Sources:
https://www.marktechpost.com/2025/01/11/rag-check-a-novel-ai-framework-for-hallucination-detection-in-multi-modal-retrieval-augmented-generation-systems/
https://www.marktechpost.com/2025/01/11/sepllm-a-practical-ai-approach-to-efficient-sparse-attention-in-large-language-models/
https://apnews.com/article/un-artificial-intelligence-resolution-rules-governance-goals-b442f2701139780526b34ba0527e9425
https://www.theguardian.com/technology/2025/jan/10/mark-zuckerberg-meta-books-ai-models-sarah-silverman

Outline:
(00:00:00) Introduction
(00:00:44) RAG-Check: A Novel AI Framework for Hallucination Detection in Multi-Modal Retrieval-Augmented Generation Systems
(00:03:30) SepLLM: A Practical AI Approach to Efficient Sparse Attention in Large Language Models
(00:07:00) US spearheads first UN resolution on artificial intelligence
(00:10:21) Zuckerberg approved Meta’s use of ‘pirated’ books to train AI models, authors claim