Today, Artificial Intelligence is a word commonly used in many fields from voice assistants to self-driving cars. But companies like to use the term AI to explain even the simple analytics or functionalities. Today, we will like to talk about AI in a way that will help you understand what it is, how is it evolving, where is it being used, and who are the companies making use of AI. Let's start with the definition. Artificial Intelligence can be defined in the most simple terms as: "DescriptionIn computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans."
Until few years ago, #ArtificialIntelligence (#AI) was similar to nuclear fusion in unfulfilled promise. It had been around a long time but had not reached the spectacular heights foreseen in its initial stages. However now, Artificial intelligence (AI) is no longer the future. It's realizing its potential in achieving man-like capabilities, so it's the right time to ask: How can business leaders adapt AI to take advantage of the specific strengths of man and machine? AI is swiftly becoming the foundational technology in areas as diverse as self-driving cars, financial trading, connected houses etc. Self-learning algorithms are now routinely embedded in mobile and online services.
As the complexity and penetration of technology in automobiles increases, there is a growing need for solutions that support artificial intelligence, which uses machines and programs to emulate the functions of the human brain. In fact, unit shipments of artificial intelligence (AI) systems used in automobiles are expected to rise from 7 million in 2015 to 122 million by 2025, according to IHS. The attach rate of AI-based systems in new vehicles was 8 percent in 2015, and the vast majority were focused on speech recognition. However, that number is forecast to rise to 109 percent in 2025, as there will be multiple AI systems of various types installed in many cars. "An artificial-intelligence system continuously learns from experience and by its ability to discern and recognize its surroundings.
Whether we like to believe it or not, scientific research has clearly shown that we all have deeply ingrained biases, which create stereotypes in our mind that can often lead to unfair treatment of others. As artificial intelligence (AI) plays an increasingly important role in our lives as decision makers in self-driving cars, doctor offices, and surveillance, it becomes critical to ask whether AI exhibits the same inbuilt biases as humans. According to a new study conducted by a team of researchers at Princeton, many AI systems do in fact exhibit racial and gender biases that could prove problematic in some cases. One well established way for psychologists to detect biases is the Implicit Association Test. Introduced into the scientific literature in 1998 and widely used today in clinical, cognitive, and developmental research, the test is designed to measure the strength of a person's automatic association between concepts or objects in memory.