Goto

Collaborating Authors

 make unsupervised decision


Gartner's AI Hype Cycle; AI used medical notes to teach itself; 10 years later, DL 'revolution' rages on; AI Isn't Ready to Make Unsupervised Decision

#artificialintelligence

I hope that you enjoy the latest AI news, insights, and the Web3 section at the end! See the outlook and impact. It isn't ready to assume human qualities that emphasize empathy, ethics, and morality. Even experts don't know what it will mean: Behind the headlines and memes a fundamental revolution is underway – with profound social, artistic, economic, and technological implications. Engage directly with top 20 thought leaders in AI/ML from Google, IBM, AWS, Samsung, Oxford Brookes University, Volkswagen, SAP, Mercedes Benz, and more!


AI Isn't Ready to Make Unsupervised Decisions

#artificialintelligence

Artificial intelligence is designed to assist with decision-making when the data, parameters, and variables involved are beyond human comprehension. For the most part, AI systems make the right decisions given the constraints. However, AI notoriously fails in capturing or responding to intangible human factors that go into real-life decision-making -- the ethical, moral, and other human considerations that guide the course of business, life, and society at large. Consider the "trolley problem" -- a hypothetical social scenario, formulated long before AI came into being, in which a decision has to be made whether to alter the route of an out-of-control streetcar heading towards a disaster zone. The decision that needs to be made -- in a split second -- is whether to switch from the original track where the streetcar may kill several people tied to the track, to an alternative track where, presumably, a single person would die.