The Revolution in Artificial Intelligence Has Not Yet Taken Place

 The Revolution in Artificial Intelligence Has Not Yet Taken Place

The term "artificial intelligence" (AI) is widely misunderstood and both fascinates and terrifies people. The goal of giving machines intelligence comparable to that of humans detracts from a more crucial story, though. The need for a global medical system that can manage data, statistics, and inferences without close human supervision is highlighted by a personal experience with prenatal testing.

While machine learning and human imitation are frequently the center of discussion about AI, the area has made more substantial advancements in intelligence augmentation (IA) and intelligent infrastructure (II). While II attempts to construct a web of computation, data, and physical entities to create hospitable, engaging, and secure environments, IA intends to develop services that improve human intelligence. Managing distributed information repositories, resolving cloud-edge interactions, and taking into account long-tail phenomena are all necessary to overcome issues in II.

Obsession with human-imitative AI has the potential to be overly exuberant and distract from fundamental issues with classical AI, like goal pursuit, causality inference, natural language processing, and uncertainty representation. Additionally, human intelligence has constraints that make it difficult for II systems to solve complex decision-making issues.

It is crucial to create a new engineering discipline that focuses on intelligent systems that are human-centric. We should extend the focus and solve the issues in IA and II rather than concentrating only on human-imitative AI. To create trustworthy and efficient systems, this field needs to work along with statisticians, social scientists, and academics from other disciplines. Let's welcome the emergence of this new technical field, concentrate on pressing problems, and accept the shortcomings of the stand-in AI technology.

Conclusion 

In conclusion, adopting a human-centric approach to AI engineering with a focus on Intelligent Infrastructure and Intelligence Augmentation offers a more thorough grasp of AI's potential. A future in which AI complements and improves human existence will be shaped by cooperation, ethical considerations, and responsible development.