no code implementations • 2 Mar 2020 • Hermann Kaindl, Stefan Kramer
As a result, the quantitatively determined bound on the probability of a classification error of an ML component in a safety-critical system contributes in a well-defined way to the latter's overall safety verification.
no code implementations • 26 Sep 2019 • Hermann Kaindl, Jonas Ferdigg
Under the headline "AI safety", a wide-reaching issue is being discussed, whether in the future some "superhuman artificial intelligence" / "superintelligence" could could pose a threat to humanity.