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  • Writer's pictureMichael Smith

eBooks and Artificial Intelligence HOW AND WHY!

Artificial intelligence (AI) is the ability of a machine or a computer program to perform tasks that normally require human intelligence, such as understanding language, recognizing images, solving problems, and learning from data. AI can be divided into two main types: narrow AI and general AI. Narrow AI is focused on specific tasks or domains, such as playing chess, driving a car, or recommending products. General AI is the hypothetical ability of a machine to perform any task that a human can do, across different domains and contexts. General AI is still a long-term goal of AI research and has not been achieved yet.


AI uses various methods and techniques to achieve its goals, such as logic, search, optimization, statistics, probability, machine learning, neural networks, and deep learning. AI also has many applications and benefits for different fields and industries, such as medicine, education, entertainment, business, and security. However, AI also poses some challenges and risks, such as ethical issues, social impacts, bias, privacy, and safety.


As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology.


Artificial intelligence was founded as an academic discipline in 1956, and in the years since it has experienced several waves of optimism,[3][4] followed by disappointment and the loss of funding (known as an "AI winter"),[5][6] followed by new approaches, success, and renewed funding.[4][7] AI research has tried and discarded many different approaches, including simulating the brain, modeling human problem solving, formal logic, large databases of knowledge, and imitating animal behavior. In the first decades of the 21st century, highly mathematical and statistical machine learning has dominated the field, and this technique has proved highly successful, helping to solve many challenging problems throughout industry and academia.


The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and the ability to move and manipulate objects.[a] General intelligence (the ability to solve an arbitrary problem) is among the field's long-term goals.[9] To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, probability, and economics. AI also draws upon computer science, psychology, linguistics, philosophy, and many other fields.

The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".[b] This raised philosophical arguments about the mind and the ethical consequences of creating artificial beings endowed with human-like intelligence; these issues have previously been explored by myth, fiction, and philosophy since antiquity.[11] Computer scientists and philosophers have since suggested that AI may become an existential risk to humanity if its rational capacities are not steered towards beneficial goals.[c] The term artificial intelligence has also been criticized for overhyping AI's true technological capabilities.

Justin Farmer Mon, April 10, 2023 The race for the best artificial intelligence is well underway. But is it too much, too fast?

Just this month, tech leaders, including Tesla’s Elon Musk, signed a letter asking AI labs to slow down production until risks could be studied.

Channel 2′s Justin Farmer spoke with Dr. David Joyner from Georgia Tech, who said there’s justified fear over artificial intelligence following the rise in popularity of chatbots like ChatGPT, Bard and Bing’s AI system.

Open AI’s ChatGPT gained 1 million users just five days after its Nov. 2022 launch. For perspective, it took Facebook 10 months to accomplish the same number. ChatGPT is an advanced chatbot that will give you an answer in real time.

“AI is really a history of taking a task that currently only humans can do, designing an agent that can do it, then kind of understanding a little bit about what goes into the task,” Joyner said.

From suggesting dinner ideas or gifts, solving mathematical equations, even having a conversation with the chatbot, some wonder whether it’s the next big search engine.





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