Chatbots, Thought Leadership

Enhancing Humans with AI bots

Artificial intelligence (AI) has both surpassed and replaced humans in many fields. Will AI overpower humanity in the near or distant future? Will AI control humans and replace governments? Or will AI remain a tool that humans will use to improve their performances?

Research on brain-computer interface (BCI) has begun and suggests that we implant chips or connect devices to our brain to increase computing power. Research has reached the point that our smartphones will soon detect our brain activity with sensors to activate actions.

Another more natural approach is to enhance humans with AI bots. Humans using AI bots can be viewed as collaborative robots—or cobots. Cobots will rise to supremacy in the next few years.

The Beginnings of AI

AI began with expert systems at Stanford University in 1965. An expert system has two main components: a knowledge base and an inference engine. The knowledge base contains rules and data. Then the inference engine applies the rules to the data and produces a decision. The rules of an expert system are designed by human subject matter experts (SMEs) who are experts in their field: medicine, manufacturing, transportation, and many other domains.

However, in many cases, humans have difficulties expressing rules when faced with situations requiring thousands of parameters. Artificial intelligence research produced machine learning (ML) algorithms that solve the problem. The fundamental innovation of ML is the uncanny ability to find patterns automatically in massive amounts of data. Although ML began in the 1980s, it took exponential computing power to produce an AI renaissance in the early twenty-first century.

AI bots' machine power and learning abilities can now outperform humans in many areas.

For example, the New York Stock Exchange (NYSE) and Nasdaq, the top two stock exchanges, manage trillions of dollars of corporate assets. The increasing complexity of the global market exceeds human teams' capacity to process the exponential number of transactions to process.

Artificial intelligence was introduced to assist humans and is gradually taking over the NYSE. The old days of humans frantically negotiating market stocks are fading away. Nasdaq uses AI to detect stock market abuse. AI can outperform traders and also enforce regulations.

Artificial intelligence is present in medical research, defense projects, autonomous vehicles, robots, and online bots.

Artificial intelligence has now entered an exponential progression cycle in its machine learning phase. ML keeps learning new subjects on a 24/7 basis through literally millions of machines around the world.

From black-box AI to white-box XAI

Black-box AI has led to many misconceptions. AI algorithms can take billions of posts on social media platforms, for example, and automatically make predictions. For example, when we buy a book on Amazon, Google a query, or watch a YouTube video, new suggestions appear to be increasingly precise.

AI technology has become both astonishing and frightening. Nobody really understands how an AI bot works, which makes it obscure and magical.

The recent emergence of white-box explainable AI (XAI) has put an end to the era of black-box AI. Explainable AI interprets and provides visual explanations. For example, XAI will automatically show a user the exact reason a bank loan was refused or the specific feature of a product (book, movie, or song) that led a cloud platform to display new customized offers.

Regulations such as the General Data Protection Regulation (GDPR) can now easily be enforced with XAI. XAI is a game-changer that will change the public's perception of AI in the next few years.

Explainable AI has opened the door to reliable AI for fair, secure, and trustworthy AI bots.

The rise and supremacy of cobots

AI's machine intelligence has equaled and surpassed humans in strategic areas. XAI has transformed AI into a transparent, intuitive tool for human users. A human can now examine and understand AI's motivation, detect bias, and reduce errors. Government regulations provide legal tools to enforce ethics and reduce bias.

AI bots and humans are progressively merging into cobots. A cobot creates a collaborative relationship between a human and an AI bot. An AI bot can be simply viewed as a new type of colleague in a team. The human asks the AI bot to use its intelligence to solve a complex problem. The machine can work 24/7 to get the job done.

A human that is using an AI bot in a cobot relationship will attain exponential performances. One hundred thousand years ago, it took us hours to walk 60 miles.
Today, it only takes an hour in a car on a highway. Twenty-five years ago, it took us hours to search for information on a topic in an encyclopedia and magazines. Today, it only takes us a few seconds to ask Amazon Alexa or Google Home to provide information on a country or event.

We have begun our long journey to become enhanced humans through AI and XAI bots.

In conclusion

The rise of artificial intelligence, machine learning, and AI bots is upon us.
AI bots become our partners as cobots with XAI. Human performances will increase exponentially as cobots rise to supremacy. We have begun a fascinating new journey into the future of humans and technology.