Explainable Artificial Intelligence

Artificial Intelligence
Humanitarian organizations focused on providing aid during emergencies are also turning to artificial intelligence to assist them in their mission. Yet the notion that humanity is on the verge of an AI explosion that will dwarf our intellect seems ludicrous to some AI researchers. Self-driving cars may remove the need for taxis and car-share programs, while manufacturers may easily replace human labor with machines, making people’s skills more obsolete.

Back in the 1950s, the fathers of the field Minsky and McCarthy , described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task.

In general, however, two things seem clear: first, the term artificial intelligence (AI) is older than the term machine learning (ML), and second, most people consider machine learning to be a subset of artificial intelligence. Explore considerations on ethics and data in the age of artificial intelligence.

The human brain was initially trained with less data but extended, verified and continuously taught with large amounts of data gathered over years of life experience. Because some AIs are too smart for their own good, spotting patterns in images that humans can’t, they are vulnerable to those patterns and need to be trained with that in mind, the research suggests.

Insight Artificial Intelligence Fellows Program

Artificial Intelligence
IBM Research has been exploring artificial intelligence and machine learning technologies and techniques for decades. Architecturally, all but the earliest and some later experimental machines share a stored program serial design often called von Neumann architecture” (based on John von Neumann’s role in the design of EDVAC, the first computer to store programs along with data in working memory).

According to the father of Artificial Intelligence, John McCarthy, it is The science and engineering of making intelligent machines, especially intelligent computer programs”. Deep learning breakthroughs drive AI boom. But it has come into particular focus in recent years, as advances in machine-learning techniques have given us a more concrete understanding of what we can do with AI, what AI can do for (and to) us, and how much we still don’t know.

Understanding naturally intelligent systems, building artificially intelligent systems, and improving the interactions between humans and artificial systems. SAIL is delighted to announce that , China’s largest retailer has agreed to establish the SAIL JD AI Research Initiative, a sponsored research program at the Stanford Artificial Intelligence Lab.


The University of Georgia has always viewed Cognitive Science and Artificial Intelligence as interdisciplinary fields where computer science meets philosophy , psychology , linguistics , engineering and other disciplines. Machine learning is primarily used to process large amounts of data quickly These types of artificial intelligence are algorithms that appear to “learn” over time, getting better at what they do the more often they do it. Feed a machine learning algorithm more data and its modeling should improve.

But computers that can probe complex data to learn and perfect specific … Read More..