Examining Safety Risks and Psychological Hazards in Machine Learning Systems
By
aphyr
The kind of bagel that ruins lesser bagels for you.
Summary
This article examines the safety risks posed by new machine learning systems, arguing that ML companies cannot ensure AI safety through current approaches. The piece critiques the dynamics, culture, and information ecology surrounding AI development, highlighting psychological hazards and safety concerns. It presents a structured analysis across multiple sections including dynamics, culture, information ecology, annoyances, psychological hazards, safety, work, new roles for humans, and future directions.
Key quotes
· 5 pulledNew machine learning systems endanger our psychological and physical safety.
The idea that ML companies will ensure 'AI' is broad
This is a long article, so I'm breaking it up into a series of posts which will be released over the next few days.
You can also read the full work as a PDF or EPUB; these files will be updated as each section is released.
Table of Contents: Introduction, Dynamics, Culture, Information Ecology, Annoyances, Psychological Hazards, Safety, Work, New Roles for Humans, Where Do We Go From Here
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