There is a new term behind Artificial Intelligence (AI) Additional Intelligence or Augmented Intelligence . This term was first presented at the World Economic Forum by QuantumBlack in Davos in 2017.
Undeniably, Artificial Intelligence (AI) has provided significant developments, although behind that there are some frightening reputations. For some people, AI has become synonymous with mass unemployment. It might even be remembered that AI can bring up dystopian images.
Augmented Intelligence seems different from the other AI. Citing the page bdtechtalks, Augmented Intelligence is a complement to AI, which emphasizes the fact that this intelligence is designed to increase human intelligence rather than replace it.
This means that Augmented Intelligence is about helping humans become faster and smarter in the tasks they do. In essence, additional intelligence is not technically different from what AI has presented.
This is a somewhat different perspective on technological progress, especially one that allows computers and software to participate in tasks deemed exclusive to humans.
Eliminating Negative Connotations
Some industry experts believe that the term artificial intelligence is too closely related to popular culture, causing the general public to have unrealistic fears about artificial intelligence.
Researchers and industry hope the term Augmented Intelligence, will have a more neutral connotation, which will help people understand that AI will only improve products and services, not replace humans who use them.
Alternative labels for artificial intelligence also reflect the current state of technology and research more accurately. While sophisticated AI programs are certainly capable of making decisions after analyzing patterns in large data sets, those decisions are only as good as the data given by humans in programming for use.
IBM, which has invested heavily in artificial intelligence with its cognitive system, Watson, has embraced the label, plus intelligence, and also suggested the term additional intelligence (AI), not only to emphasize the role of supporting technology, but also to avoid the confusion caused by using AI as an abbreviation.
Reasons Augmented Intelligence is Better than Artificial Intelligence?
Forbes emphasized that, Augmented Intelligence reflects the ongoing impact of AI (Augmented Intelligence) in strengthening human innovation. As stated on the bdtechtalks page, some interesting opportunities arise when looking at Augmented Intelligence from an enlarged intelligence perspective.
Thanks to advances in the fields of cloud computing and mobility, it is easy to generate and store large amounts of data, such as how much time visitors spend on a website and what pages they visit.
Even more useful and important information, such as health, weather, and traffic data. Thanks to smart sensor technology, the internet of things (IoT), and connectivity everywhere, we can collect and store information from the physical world in ways that were previously impossible.
In addition, there are great opportunities to reduce congestion in cities, identify signs of cancer at an early stage, find and prevent cyberattacks before they cause damage, and more. But the problem is, seeing this data and discovering the secret is beyond human ability.
As it happens, this is precisely where Augmented Intelligence, and machine learning, can help human experts. Augmented Intelligence is very good at analyzing reams of large data and finding patterns as well as correlations that are unknown to human analysts.
For example, in health care, the Augmented Intelligence algorithm can analyze symptoms and vital signs of a patient, compare them with the patient’s history, family history, and millions of other patients who are in the store, and help the doctor by giving advice on what causes it.
All these can be done in seconds or less. Similarly, the Augmented Intelligence algorithm can examine radiological images hundreds of times faster than humans, and they can assist experts in helping more patients.
In education, can aid teachers and students. For example, algorithm can monitor student reactions and interactions during lessons and compare the data with historical information that they have collected from thousands of other students. And then they can find out where the students who have the potential to lag behind perform well.
For teachers, will provide feedback to each of their students who previously will need personal guidance. This means that teachers will be able to use their time optimally and spend it where it has the most impact on their students.
For students, can help improve their learning skills by providing them with material and complementary exercises that will help them fill gaps in areas where they are lagging behind or can potentially face challenges in the future.
As these examples and many more show, Augmented Intelligence clearly emphasizes that it does not replace human intelligence; rather, it strengthens or adds to it by enabling humans to utilize the data generated.
As Erik Brynjolfsson and Andrew McAfee stated in the Harvard Business Review article, “Over the next decade, Augmented Intelligence will not replace managers, but managers who use Augmented Intelligence will replace managers who do not use Augmented Intelligence” *** (SS).