Unsolved Problems in ML Safety

Focus: AI Ethics/Policy
Source: MAIEI
Readability: Expert
Type: Website Article
Open Source: Yes
Keywords: N/A
Learn Tags: AI and Machine Learning Ethics Design/Methods Research Centre
Summary: This paper presents four broad areas in ML safety — robustness, monitoring, alignment and systemic safety — and explores each area’s motivations and research directions.