Recent advancements in machine learning have significantly impacted various sectors, including translation, photo identification, and the service industry. However, these advancements come with vulnerabilities that can lead to critical failures.
its hard to distinguish things while they are moving and not always the same
can lead to disasters if not used correctly
tanks mistaken as a heard of cows
systems are not full proof and can be fooled
could lead to fraud and other malicous activities
AI voices are soudning more and more human
turtle classified as a riffle
the dangers of oversights
something small to a human can change everything for and ai
ex:stop sign beccomes speed limit sign for a self drving car
how ai is decieved
Maleware is harder to make since it has specific instructions and there is no way to misinterpret the code
contrast to images, pixels can be entered or moved and the ai has to match it with an object, which could be something completley wrong
different from humans
Over the last couple years , machine learning has been making large strides