Concrete AI safety problems
OpenAI Blog
Google Brain researchers published a paper identifying concrete safety problems in machine learning systems, co-authored by researchers from Google, Berkeley, and Stanford. The paper addresses multiple research challenges in ensuring modern ML systems operate as intended, without specifying particular metrics or timelines. The work aims to guide future safety research by categorizing specific problems rather than offering theoretical frameworks alone.
Why it matters
We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.
