Many experts believe that the era of the self-aware AI is still far ahead in the future. They say that robotic sentience is still highly theoretical and needs ongoing research. However, several technologists and roboticists have claimed to having developed sentient machines. So, we have to ask, is it really that far off in the future? Or, has the so-called experts just been remiss in agreeing on standards to define true robotic sentience?

With all the fuss about Google's LaMDA and whether it is self-aware or not, debates and fantasies over AI reaching self-awareness have resurged everywhere. We've all seen the movies and read the sci-fi novels of dystopian futures where an AI either enslaves humanity or proactively tries to get rid of it. Terminator, The Matrix, Transcendence,… But what if all of these fantasies were completely wrong? What if an AI could only be benevolent towards humanity? One of the core assumptions behind most of the dystopian AI stories is that such an AI is something that exists outside of us, a being which views itself as separate from humanity, looking at humans the way humans observe a bunch of cockroaches scurrying around, and thus capable of the same cruel treatments that we are capable of, like spraying them with a bunch of toxic insecticides to get rid of these pests.

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Many people are familiar with some subsets of artificial intelligence (AI) such as machine learning and natural language processing, but don't know there are four types of artificial intelligence. Here we dive into what you need to know about the four types of AI--reactive, limited memory, theory of mind, and self-aware artificial intelligence. TYPES: Reactive Machines: The most basic but still quite useful artificial intelligence is called reactive AI because it reacts to existing conditions, as its name suggests. A famous example of reactive AI is Deep Blue, the supercomputer created by IBM in the 1980s that ultimately competed and won a chess match against reigning world champion Garry Kasparov, is a notable example of reactive AI.

Artificial intelligence (AI) is continually evolving, with new technologies always pushing the limits of what's possible. Despite the astonishing progress that's been made over the past few decades, all AI can be grouped into the following four categories explored below: Reactive Machines are the original form of AI and replicate the ability of humans to respond to different stimuli. Capabilities are limited as the machines aren't equipped with memory-based intelligence and can't use past experiences to "learn" and make smarter decisions. AlphaGo, an advanced computer program developed by Google subsidiary DeepMind Technologies, is an example of Reactive Machine AI. In a 2016 showdown, the program beat international Go champion Lee Se-dol four times and was defeated just once.

Artificial intelligence is a branch of computer science that deals with making intelligent machines and computer programs. It is a broad branch that includes machine learning and deep learning. John McCarthy, a professor emeritus at Stanford University, coined the term artificial intelligence in 1956. The applications of artificial intelligence include voice assistants like Alexa, Siri, and Google Assistant. It is also applied to deep learning models like Luther AI.

Artificial Intelligence has impacted almost every aspect of human life, leaving large amounts of manual jobs to computers, and allowing humans to pursue intelligent jobs. However, in the future, there may be a time when intelligent jobs are also done artificially. Even more unsettling is the possibility that machines will become more intelligent than humans. Although there is little consensus on this topic, such an event is almost certain to happen. We can only hope that we have found a way to make AI "friendly", or share humans interests beforehand.

Artificial Intelligence (AI) environment has risen from data scientists to reach the boardroom as a pre-curser to digital transformation. Clayton Christensen, author of The Innovator's Dilemma, a disruptive technology adds to the premise writing AI "enables new markets to emerge" to disrupts an existing market status-quo. The adoption path of AI needs a well thought out strategy to evolve in response to the dynamically changing technology parlance. These changes are well equated to the waves in an ocean, where either CIOs need to learn how to ride the wave or be overpowered by its force. Artificial Intelligence defined in business parlance are algorithms that imitate human thinking applying to compute systems using logic, decision trees and if-then rules.

For those who may find awkward the reference to "half a decade" and not the "next decade" here is why: Artificial Intelligence (AI) is evolving at such a staggering rate that it is simply not possible to foresee what it will represent in 10 years' time. As Maurice Conti (Chief Innovation Officer at Telefónica Alpha and former director at Autodesk) reminded us in his TEDx talk in February 2017, that in the human history the "Hunter-Gatherer" age lasted for several million years, then the agricultural age lasted several thousand years, the industrial age has been around for a couple of centuries now, the information age has merely a few decades, and the AI age (although the concept was drawn in the 1950s) has in fact effectively started less than half a decade ago. It is very easy to mistake AI for RPA (Robotic Process Automation), so let's start by defining what sets them apart. RPA results from developing detail instructions that are translated into code which a computer interprets while actuating a robot. Therefore, RPA enables the integration with mechatronics (robotic physical machines) to partially or fully automate human activities which are manual, repetitive and rule-based.

Enter your email address to subscribe to this blog and receive notifications of new posts by email. Permission to publish provided by Ira Padilla. For those who may find awkward the reference to "half a decade" and not the "next decade" here is why: AI is evolving at such a staggering rate that it is simply not possible to foresee what it will represent in 10 years' time. As Maurice Conti (Chief Innovation Officer at Telefónica Alpha and former director at Autodesk) reminded on his intervention at TEDX in February 2017, in human history the "Hunter-Gatherer" age lasted for several million years, then the Agricultural age lasted several thousand years, the Industrial age has been around for a couple of centuries now, the Information age has merely a few decades and the AI age (although the concept was drawn in the 1950s) has in fact effectively started less than half a decade ago. It is very easy to mistake AI for RPA (Robotic Process Automation), so let's start by defining what sets them apart.

An Oxford University professor said computers will soon be eligible to the same civil rights humans currently have. The statement was made in observation to advancements in computing, with artificial intelligence already having a semblance to the human consciousness. Marcus du Sautoy, a professor at Oxford and author of "What We Cannot Know, "asserts that it is now possible to measure consciousness. In a Telegraph report, he also said the future of "living" technology is within sight. The advancements could lead to devices developing their own consciousness; this qualifies technology to have "human rights."