ARTIFICIAL INTELLIGENCE

Artificial intelligence is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. Strong AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence).

any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

PLANNING & LEARNING:

Planning : Intelligent agents must be able to set goals and achieve them. They need a way to visualize the future ,a representation of the state of the world and be able to make predictions about how their actions will change it and be able to make choices that maximize the utility (or "value") of available choices.

In classical planning problems, the agent can assume that it is the only system acting in the world, allowing the agent to be certain of the consequences of its actions. However, if the agent is not the only actor, then it requires that the agent can reason under uncertainty. This calls for an agent that can not only assess its environment and make predictions but also evaluate its predictions and adapt based on its assessment.

Learning: Machine learning (ML), a fundamental concept of AI research since the field's inception, is the study of computer algorithms that improve automatically through experience.

Unsupervised learning is the ability to find patterns in a stream of input, without requiring a human to label the inputs first. Supervised learning includes both classification and numerical regression, which requires a human to label the input data first. Classification is used to determine what category something belongs in, and occurs after a program sees a number of examples of things from several categories.

APPLICATIONS:

1. Chatbots: are always on, delivering smart and flexible analytics through conversations on mobile devices using standard messaging tools and voice-activated interfaces.
2. Artificial Intelligence in eCommerce provides a competitive edge to e-commerce businesses and is becoming readily available to companies of any size or budget. Leveraging machine learning, AI software automatically tags, organizes and visually searches content by labeling features of the image or video.
3.  AI in Healthcare: AI presents opportunities for our application to take the data we have gathered from patients and be able to clinically innovate to improve patient outcomes to an even greater extent. AI improves reliability, predictability, and consistency with quality and patient safety. For us, AI, as applied to software, is used as a decision augmentation tool, but it should not have free reign without human interaction and guidance.
4. Sports betting Industry: Human traders cannot compete with artificial intelligence when it comes to analyzing huge volume of data. With AI we can perform analysis of the vast volume of sporting analysis data available to maximize our accuracy when it comes to predicting future outcomes.

AI IMPACT:

The long-term economic effects of AI are uncertain. A survey of economists showed disagreement about whether the increasing use of robots and AI will cause a substantial increase in long-term unemployment, but they generally agree that it could be a net benefit, The potential negative effects of AI and automation were a major issue for Andrew Yang's 2020 presidential campaign in the United States, Head of the Centre for Artificial Intelligence and Robotics at UNICRI,, has expressed that "I think the dangerous applications for AI, from my point of view, would be criminals or large terrorist organizations using it to disrupt large processes or simply do pure harm.

Things like lethal autonomous weapons systems should be properly governed otherwise there's massive potential of misuse.

FUTURE USE:

The digital revolution has already changed how people live, work, and communicate. And it’s only just getting started. But the same technologies that have the potential to help billions of people live happier, healthier, and more productive lives are also creating new challenges for citizens and governments around the world. From election meddling to data breaches and cyberattacks, recent events have shown that technology is changing how we think about privacy, national security, and maybe even democracy itself.

I wrote this article in 2020, way before the explosion of artificial intelligence and it was a study or more of a presentation submitted to one of the organizations i was studying at.

I hope you liked it.