March 15, 2024, 4:42 a.m. | Johannes Schneider, Rene Abraham, Christian Meske

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.08802v1 Announce Type: cross
Abstract: Generative Artificial Intelligence (GenAI), specifically large language models like ChatGPT, has swiftly entered organizations without adequate governance, posing both opportunities and risks. Despite extensive debates on GenAI's transformative nature and regulatory measures, limited research addresses organizational governance, encompassing technical and business perspectives. This review paper fills this gap by surveying recent works. It goes beyond mere summarization by developing a framework for GenAI governance within companies. Our framework outlines the scope, objectives, and governance mechanisms …

abstract artificial artificial intelligence arxiv business chatgpt companies cs.ai cs.cy cs.lg gap genai generative generative artificial intelligence governance intelligence language language models large language large language models nature opportunities organizations paper perspectives regulatory research review risks technical type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US