mlsanityData to 7 Oct 2026

Review of state-of-the-arts in artificial intelligence with application to AI safety problem

arXiv 1605.04232 ↗First posted 11 May 2016cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

Here, I review current state-of-the-arts in many areas of AI to estimate when it's reasonable to expect human level AI development. Predictions of prominent AI researchers vary broadly from very pessimistic predictions of Andrew Ng to much more moderate predictions of Geoffrey Hinton and optimistic predictions of Shane Legg, DeepMind cofounder. Given huge rate of progress in recent years and this broad range of predictions of AI experts, AI safety questions are also discussed.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 11 May 2016.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 1.

1 paper.