Search results
Results from the WOW.Com Content Network
Glossary. v. t. e. Existential risk from AI refers to the idea that substantial progress in artificial general intelligence (AGI) could lead to human extinction or an irreversible global catastrophe. [ 1 ][ 2 ][ 3 ] One argument for the importance of this risk references how human beings dominate other species because the human brain possesses ...
Machine ethics. Machine ethics (or machine morality) is the field of research concerned with designing Artificial Moral Agents (AMAs), robots or artificially intelligent computers that behave morally or as though moral. [2][3][4][5] To account for the nature of these agents, it has been suggested to consider certain philosophical ideas, like ...
We have to educate everyone – particularly children – about the dangers of AI and how, if possible, to tell what’s real and what’s not.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
As with social media, AI's worst impacts may be on children. A UN Report on AI and human rights highlights dangers of the AI revolution—and our own power to prevent substantial harms
The technological singularity —or simply the singularity[1] —is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable consequences for human civilization. [2][3] According to the most popular version of the singularity hypothesis, I. J. Good 's intelligence ...
VATICAN CITY (Reuters) - Pope Francis on Tuesday called for a global reflection on the potential dangers of artificial intelligence (AI), noting the new technology's "disruptive possibilities and ...
Thomas G. Dietterich is emeritus professor of computer science at Oregon State University. He is one of the pioneers of the field of machine learning. [1][2] He served as executive editor of Machine Learning (journal) (1992–98) and helped co-found the Journal of Machine Learning Research. [1] In response to the media's attention on the ...