The Sequence Scope: The Biggest Problems in ML Safety

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📝 Editorial: The Biggest Problems in ML Safety

Machine learning (ML) is advancing at an incredibly rapid pace, with bigger and more complex models being created regularly. That level of growth has brought an increase in the security and safety risks of ML models. The main challenge with ML safety is that it is very hard to understand and quantify fully. Beyond some techniques such as adversarial attacks, the universe of ML safety challenges remains relatively obscure. Developing methods to quantify ML safety risks is one of the most critical tasks for the next phase of ML.

ML safety is so tricky because it manifests across the entire lifecycle of ML models. ML safety is not one problem but a fragmented family of challenges present in different…