March 8, 2024, 5:42 a.m. | Ronald Schnitzer, Andreas Hapfelmeier, Sven Gaube, Sonja Zillner

cs.LG updates on arXiv.org arxiv.org

arXiv:2310.16727v2 Announce Type: replace
Abstract: Recent advancements in the field of Artificial Intelligence (AI) establish the basis to address challenging tasks. However, with the integration of AI, new risks arise. Therefore, to benefit from its advantages, it is essential to adequately handle the risks associated with AI. Existing risk management processes in related fields, such as software systems, need to sufficiently consider the specifics of AI. A key challenge is to systematically and transparently identify and address AI risks' root …

abstract advantages ai risks artificial artificial intelligence arxiv benefit cs.lg framework however integration intelligence management risks tasks 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