1943- The birth of technology

World War two brought together scientists from many disciplines. Their discussion took the form of an invention called the Turning Test, which set the bar for an intelligent machine.

1956- Scientists coin the name ‘Artificial Intelligence’

The term ‘Artificial Intelligence’ was coined for a summer conference at Dartmouth University, organised by a young computer scientist named John McCarthy.

1969- The debut of the first mobile robot

Shakey, the first general-purpose robot, was able to make decisions on its own actions by reasoning about its surroundings.

1981- AI becomes an investment space

After the AI winter when the world went into rough weather on tech grounds, people started realising the commercial value of artificial intelligence and started investing in it.

1997- The man vs machine fight begins

IBM-built machine Deep Blue becomes the first computer chess-playing program to beat a reigning world-class champion. It is capable of evaluating up to 200 million positions a second.

The rise of artificial intelligence in the digital world is making decisions that impact our lives

Without a question, AI is still in its infancy, but it has reached a critical mass where both study and application may take place at the same time. We can categorically state that we have shifted gears. Whether we want it or not, AI is already making decisions that impact our lives, and it has made enormous progress in recent years.

Artificial Intelligence Now: AI is not Everywhere Yet

While it is tempting to believe that AI has permeated practically every vertical or market, this is not the case. There are just a few technical hotspots in a few select areas where AI is gaining traction.

However, marketing techniques are at work to make everyone believe that AI has covered all, whereas, in reality, numerous areas remain unexplored.

Many image-recognition technologies are increasingly more capable of detecting malignancy or micro-fractures in MRI or X-ray data from patients. Many pattern-recognition systems can connect multiple pathology reports and generate a near-perfect prediction of the patient’s condition. Despite this, making medical advice without a doctor’s specific clearance is not usual.

This is great because, when human life is on the line, systems should never make the final decision. As a result, AI may only achieve the position of aided intelligence in the medical area, and it may not be authorized to become a mainstream phenomenon at all.

Human touch is getting more expensive as corporations continue to remove individuals from customer support and replace them with chatbots or AI-driven automated replies. One startup’s key difference during an event where companies pitched their company or product was that they offer personal help for any queries. In regards of AI- and non-AI-based solutions, we’re seeing an interesting trend.

Another field where AI is making inroads is self-learning solutions. It is gaining popularity due to its use of personalised learning, pace, and suggestions. However, as a result of this, teaching, coaching, and guiding will quickly become a high-touch service that will continue to be in great demand. As a result, it’s difficult to say if AI has actually impacted this industry or has simply mutated it into something new.

Performing arts and culture are another sector where AI has yet to influence and may not have an impact. These are such individualised and creative endeavours that they would be meaningless without the presence of a human. There have been a few AI-created art endeavours, but such art forms have a distinct flavour to them.

(This is a slightly modified version of an article originally published in Analytics Insight. The original article can be found at https://www.analyticsinsight.net/the-rise-of-artificial-intelligence-in-2022-where-is-the-world-headed/