The Risks and Benefits of Artificial Intelligence

Artificial Intelligence (AI) refers to a set of techniques that enable computers to learn and perform tasks more like those done by humans. These technologies can be applied to a variety of business processes, including predicting weather and financial outcomes, automating data analytics, interpreting human language and operating autonomous vehicles. However, they can also be used to create misinformation and violate laws. For this reason, it’s important to understand the risks and benefits of AI.

Aiforeveryone.Org is a broad term that covers many different technologies, each with its own set of benefits and drawbacks. Many of the most widely known examples of AI—such as chatbots and self-driving cars—are relatively straightforward implementations of more complex technologies that can involve many different facets of AI, such as natural language processing and neural networks.

The idea behind much of today’s AI is rooted in the 19th century invention of Charles Babbage’s difference engine and Alan Turing’s 1950 proposal for the “imitation game”—the test that would assess whether a machine could exhibit intelligent behavior that is indistinguishable from human intelligence. McCarthy coined the term “artificial intelligence” in 1956 for his workshop at Dartmouth, but other researchers were working on related concepts before then.

Artificial Intelligence: Enhancing Social Media Marketing

For years after, the concept of AI went in and out of fashion. By the early ’70s, the first AI winter was underway, with funding for research dwindling as projects failed to live up to their early hype and expectations. However, the ideas that underlie modern AI remained alive and well, and in time were developed further by computer scientists like Marvin Minsky and Herbert Simon.