scholarly journals Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

IoT ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 510-523
Author(s):  
Hossein Hassani ◽  
Pedram Amiri Andi ◽  
Alireza Ghodsi ◽  
Kimia Norouzi ◽  
Nadejda Komendantova ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Daily Life ◽  
New Technology ◽  
Economic Consequences ◽  
Data Input ◽  
Human Capabilities ◽  
Future Technology ◽  
The Future ◽  
Routine Medical Practice ◽  
Adequate Data

Digitization is the emerging process in the current transformation of industry. Understanding the role and socio-economic consequences of digitalization is crucial for the way technology is being deployed in each sector. One of the affected sectors is dentistry. This study highlights the current advances and challenges in integrating and merging artificial intelligence (AI), intelligence augmentation (IA), and machine learning (ML) in dentistry. We conduct a comparative analysis to give an overview of which technology is being currently deployed and what role IA and AI will play in dentistry, as AI plays an assistive role in advancing human capabilities. We find that challenges range from AI finding its way into routine medical practice to qualitative challenges of retrieving adequate data input. Other challenges lie in the yet unanswered questions of liability in how to reduce deployment costs of new technology. Given these challenges, we provide an outlook of how future technology can be deployed in daily-life dentistry and how robots and humans will interact, given the current technology developments. The aim of this paper is to discuss the future of dentistry and whether it is AI or IA conquering the modern dentistry era.

scholarly journals Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation

2021 ◽  
Author(s):  
Andreas Fügener ◽  
Jörn Grahl ◽  
Alok Gupta ◽  
Wolfgang Ketter
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Work ◽  
Work Environments ◽  
The Other ◽  
Business Organizations ◽  
Human Capabilities ◽  
Work Arrangements ◽  
Other Hand ◽  
The World ◽  
The Future

A consensus is beginning to emerge that the next phase of artificial intelligence (AI) induction in business organizations will require humans to work with AI in a variety of work arrangements. This article explores the issues related to human capabilities to work with AI. A key to working in many work arrangements is the ability to delegate work to entities that can do them most efficiently. Modern AI can do a remarkable job of efficient delegation to humans because it knows what it knows well and what it does not. Humans, on the other hand, are poor judges of their metaknowledge and are not good at delegating knowledge work to AI—this might prove to be a big stumbling block to create work environments where humans and AI work together. Humans have often created machines to serve them. The sentiment is perhaps exemplified by Oscar Wilde’s statement that “civilization requires slaves…. Human slavery is wrong, insecure and demoralizing. On mechanical slavery, on the slavery of the machine, the future of the world depends.” However, the time has come when humans might switch roles with machines. Our study highlights capabilities that humans need to effectively work with AI and still be in control rather than just being directed.

scholarly journals Transparency and Fairness in Machine Learning Applications

2018 ◽  
Vol 4 (5) ◽  
pp. 443-463
Author(s):  
Jim Shook ◽  
Robyn Smith ◽  
Alex Antonio
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Reading Comprehension ◽  
New Technology ◽  
Human Intervention ◽  
Daily Work ◽  
Comprehension Test ◽  
The Future ◽  
Machine Learning Applications ◽  
Self Driving Cars

Businesses and consumers increasingly use artificial intelligence (“AI”)— and specifically machine learning (“ML”) applications—in their daily work. ML is often used as a tool to help people perform their jobs more efficiently, but increasingly it is becoming a technology that may eventually replace humans in performing certain functions. An AI recently beat humans in a reading comprehension test, and there is an ongoing race to replace human drivers with self-driving cars and trucks. Tomorrow there is the potential for much more—as AI is even learning to build its own AI. As the use of AI technologies continues to expand, and especially as machines begin to act more autonomously with less human intervention, important questions arise about how we can best integrate this new technology into our society, particularly within our legal and compliance frameworks. The questions raised are different from those that we have already addressed with other technologies because AI is different. Most previous technologies functioned as a tool, operated by a person, and for legal purposes we could usually hold that person responsible for actions that resulted from using that tool. For example, an employee who used a computer to send a discriminatory or defamatory email could not have done so without the computer, but the employee would still be held responsible for creating the email. While AI can function as merely a tool, it can also be designed to act after making its own decisions, and in the future, will act even more autonomously. As AI becomes more autonomous, it will be more difficult to determine who—or what—is making decisions and taking actions, and determining the basis and responsibility for those actions. These are the challenges that must be overcome to ensure AI’s integration for legal and compliance purposes.

Cross-Industry Use of Blockchain Technology and Opportunities for the Future

2020 ◽  
pp. 64-79
Author(s):  
Dhanalakshmi Senthilkumar
Keyword(s):  
Artificial Intelligence ◽  
Data Storage ◽  
Data Input ◽  
Artificial Intelligence Techniques ◽  
Disruptive Technologies ◽  
Blockchain Technology ◽  
Multiple Data ◽  
The Future ◽  
Multiple Domains

Blockchain and artificial intelligence are two disruptive technologies in the today's world; Blockchain can connect data storage and data users from multiple domains, and different kinds of analytics applications run on top of the data in artificial intelligence techniques. So that Blockchain technology provide the excellent backbone for the development of artificial intelligence algorithms, it is useful to secure the data input from multiple data storage locations and to have whatever applications running on top of the data in a Blockchain visible to everyone. The concept of Blockchain technology and artificial intelligence techniques together develop interesting uses cases and nice applications. When paired with Blockchains, AI is better understood by humans, operates more efficiently, and the blockchains in general more efficiently. AI and Blockchain together support B2B environment and getting better outcomes.

Artificial Intelligence in Medicine

2021 ◽  
pp. 49-68
Author(s):  
Gia Merlo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
New Technologies ◽  
New Technology ◽  
Technological System ◽  
Medical Professionals ◽  
Human Intelligence ◽  
Connected Health ◽  
The Future

Disruptive forces are challenging the future of medicine. One of the key forces bringing change is the development of artificial intelligence (AI). AI is a technological system designed to perform tasks that are commonly associated with human intelligence and ability. Machine learning is a subset of AI, and deep learning is an aspect of machine learning. AI can be categorized as either applied or generalized. Machine learning is key to applied AI; it is dynamic and can become more accurate through processing different results. Other new technologies include blockchain, which allows for the storage of all of patients’ records to create a connected health ecosystem. Medical professionals ought to be willing to accept new technology, while also developing the skills that technology will not be able to replicate.

scholarly journals The Relationship between AI and Human in the Future

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Yide Song
Keyword(s):  
Artificial Intelligence ◽  
Future Development ◽  
Potential Risk ◽  
Daily Life ◽  
Science Research ◽  
Basic Algorithm ◽  
The Future ◽  
Paper Review ◽  
The Relationship

The relationship between human and Artificial intelligence (AI) is an arguable topic. In some fictions, AI has been considered as a potential risk for human. However, this topic has seldom considered from both technology and fictions. In this paper review the recent AI technology and fictions. This article presents the hope of AI in daily life and science research, creation and basic algorithm. It shows that people will rely more on AI, however it is impossible to replace human without breakthrough in future development. In the end, this paper justified that AI need restriction.

scholarly journals Artificial Intelligence : The Supermind - A Review

2022 ◽  
pp. 194-203
Author(s):  
Shruti Sunil Ajankar ◽  
Aditi Rajesh Nimodiya
Keyword(s):  
Artificial Intelligence ◽  
Clear Understanding ◽  
Human Capabilities ◽  
Health Security ◽  
Intelligent Machines ◽  
Advantages And Disadvantages ◽  
Business Application ◽  
The Future ◽  
Main Driver ◽  
The Moment

Artificial intelligence (AI) is one of the most important technologies in the world today. In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial Intelligence is impacting the future of virtually every industry and every human being. AI has acted as the main driver of emerging technologies like big data, robotics, and IoT, and it will continue to act as a technological innovator for the foreseeable future. AI is simply the study of how to make computer do things which at the moment people do the better. There are many ways to define AI, but one simple definition is “intelligence demonstrated by machines”. Primary goal of AI is to improve computer behaviour so that it can be called intelligent. AI is ubiquitous and is not only limited to computer science but has evolved to include other areas like health, security, education, music, art, and business application. This paper gives an overview of how the AI actually works, its scopes , the different applications of AI, its advantages and disadvantages and many more topics which will give a clear understanding inspite of the boundlessness of AI.

Optimization of Energy Consumption via Artificial Intelligence: A Study

2016 ◽  
Vol 8 (01) ◽  
pp. 26-33
Author(s):  
Sakshi Jaiswal ◽  
Awdhesh Gupta ◽  
Shivam Kumar Kanojiya
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Human Capabilities ◽  
Intelligent Machines ◽  
Stage Of Development ◽  
The Future ◽  
State Of Affairs ◽  
Commercial Organizations

In the future intelligent machines will replace or enhance human capabilities in many areas. Artificial Intelligence is the intelligence exhibited by machines or software.”John McCarthy” who coined the tem in 1955 defines it as the “science and engineering of making intelligent machines”. As we are aware of the fact that energy consumption has grown tremendously over a few decades in all over the world which is environmentally unfriendly. It is essential at this stage of development to pause and critically examine the state of affairs via the application of AI in energy conservation and environmental system engineering. In this paper we describe in a general way on how the existing applications of AI techniques provide intelligent solution to optimize the energy conservation now and in the future. Also, how Wireless Sensor and Actuator Networks are used to remotely monitor and control the environment according to the decisions made by the centralized reasoner and EEMS(Energy Efficiency Management System)provides effective energy saving measures and high quality energy conservation services Energy efficiency has nowadays become one of the most challenging task for both academic and commercial organizations and this has boosted research on novel fields.

scholarly journals Blue Key

2014 ◽  
Vol 10 (3) ◽  
pp. 1985-1995
Author(s):  
Prachit Kurani
Keyword(s):  
Daily Life ◽  
New Technology ◽  
Controlling System ◽  
The Future ◽  
The One ◽  
Common Device

Remote Controlling already exists in our daily life and is not a new concept. But here we came with a new technology in the controlling system. We are going to use our mobile for this purpose. As mobile is a very common device that every person carries all the time. Taking the advantage of this phenomenon; we are going to use this as remote for controlling home doors increasing the luxury of life with some added advantages. What is more natural than using a key to unlock a door? It is something that everyone does almost every day, and it is an integrated part of our daily life. It is also a very well-known and well-tested technology. Despite these arguments, keys as we know them might not be the device of choice to open doors in the future. We have all experienced problems like carrying too many keys while forgetting the one key we need, or maybe having a lock replaced because we lost a single key.  

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