Artificial Intelligence may revolutionize everything during the so-called fourth industrial revolution, which
carries several emerging technologies and could progress without precedents in human history due to its speed
and scope. Government, academia, industry, and civil society show interest in understanding the
multidimensional impact of the emerging industrial revolution; however, its development is hard to predict.
Experts consider emerging technologies could bring tremendous benefits to humanity; at the same time, they
could pose an existential risk. This paper reviews the development and trends in AI, as well as the benefits,
risks, and strategies in the field. During the course of the emerging industrial revolution, the common good may
be achieved in a collaborative environment of shared interests and the hardest work will be the implementation
and monitoring of projects at a global scale.
Seminar report on Artificial Intelligence in defence applicationMohammad Athik
This report will help us to understand what is Artificial Intelligence, what are the applications of artificial intelligence in defence applications, And advantages and disadvantages, etc...
Seminar report on Artificial Intelligence in defence applicationMohammad Athik
This report will help us to understand what is Artificial Intelligence, what are the applications of artificial intelligence in defence applications, And advantages and disadvantages, etc...
Artificial Intelligence: The Promise, the Myth, and a Dose of RealityDagmar Monett
Keynote at the 33. Bremer Universitäts-Gespräche Data Science - Wunderwelt oder alter Wein in neuen Schläuchen (engl. Data science - Wonderworld or old wine in new bottles), October 7th, 2021, Universität Bremen, Germany.
A Seminar Report on Artificial IntelligenceAvinash Kumar
This is a seminar report on Artificial Intelligence. This is mainly concerned for engineering projects & reports. This is actually done for presentation purpose.
Artificial Intelligence and the Future of HumanityGerd Leonhard
A collection from Gerd's recent keynotes and presentation. See www.gerdtube.com for videos and www.techvshuman.com for more details about the book 'technology vs humanity'
Artificial intelligence in education and assessment methodsjournalBEEI
Today, artificial intelligence has proliferated to reach almost every wing of daily life, perhaps one of the most sensitive of these being education. While teaching, insofar as it involves training human minds, is still mostly a form of art rather than a regular science, the taking up of this elitist job by computers has triggered much debate and controversy, involving the teaching community as much as the select corporate AI giants who strive to create computers capable of teaching better than humans. This paper surveys the most relevant studies carried out in this field to date. First, it introduces AI and describes the different AI applications in field of education and course assessment. It then goes on to list the most common topics in the educational context that have been resolved through AI and machine learning techniques, and finally, some of the most promising future lines of research are discussed.
AI EXPLAINED Non-Technical Guide for PolicymakersBranka Panic
This guide is meant to help policymakers and citizens understand the basics of Artificial Intelligence (AI) and how it affects our society. It offers explanations and additional resources to help policymakers prepare for the current
and future AI developments.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
all information about Artificial intelligence.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Advantages of AI. Disadvantages of AI. Future best scope of AI. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
I made this presentation in my 7th semester of B.Tech as per academic curriculum.
Took help from several videos from youtube and studied some IBM publications.
Cognitive Era is at the dawn. It does not make machines intelligent but instead it allows them to develop cognisance and learn by themselves as we humans do.
I am fascinated and looking forward to contribute my existence in this great thought of almighty came into human mind.
Guys! You could get a nice introduction from this presentation and explain it to others and even it could be used for your academic homework.
Goodluck! GODSPEED!
An Analysis of Benefits and Risks of Artificial Intelligenceijtsrd
Artificial intelligence AI is now typical technology in our everyday lives with applications in image and voice recognition, language translations, chatbots, and predictive data analysis. AI technological progress is likely to present us with many challenges. Furthermore, AI increasingly complex algorithms currently influence our lives and our civilization more than ever before. AI should be taken very seriously even if the probability of their rate were low. Our focus on this paper is an analysis of benefits and risks of AI was on highlighting the potential vulnerabilities and inequities that the use of AI executes. Win Mar | Yin Myo Kay Khine Thaw "An Analysis of Benefits and Risks of Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26667.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26667/an-analysis-of-benefits-and-risks-of-artificial-intelligence/win-mar
Artificial Intelligence: The Promise, the Myth, and a Dose of RealityDagmar Monett
Keynote at the 33. Bremer Universitäts-Gespräche Data Science - Wunderwelt oder alter Wein in neuen Schläuchen (engl. Data science - Wonderworld or old wine in new bottles), October 7th, 2021, Universität Bremen, Germany.
A Seminar Report on Artificial IntelligenceAvinash Kumar
This is a seminar report on Artificial Intelligence. This is mainly concerned for engineering projects & reports. This is actually done for presentation purpose.
Artificial Intelligence and the Future of HumanityGerd Leonhard
A collection from Gerd's recent keynotes and presentation. See www.gerdtube.com for videos and www.techvshuman.com for more details about the book 'technology vs humanity'
Artificial intelligence in education and assessment methodsjournalBEEI
Today, artificial intelligence has proliferated to reach almost every wing of daily life, perhaps one of the most sensitive of these being education. While teaching, insofar as it involves training human minds, is still mostly a form of art rather than a regular science, the taking up of this elitist job by computers has triggered much debate and controversy, involving the teaching community as much as the select corporate AI giants who strive to create computers capable of teaching better than humans. This paper surveys the most relevant studies carried out in this field to date. First, it introduces AI and describes the different AI applications in field of education and course assessment. It then goes on to list the most common topics in the educational context that have been resolved through AI and machine learning techniques, and finally, some of the most promising future lines of research are discussed.
AI EXPLAINED Non-Technical Guide for PolicymakersBranka Panic
This guide is meant to help policymakers and citizens understand the basics of Artificial Intelligence (AI) and how it affects our society. It offers explanations and additional resources to help policymakers prepare for the current
and future AI developments.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
all information about Artificial intelligence.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Advantages of AI. Disadvantages of AI. Future best scope of AI. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
I made this presentation in my 7th semester of B.Tech as per academic curriculum.
Took help from several videos from youtube and studied some IBM publications.
Cognitive Era is at the dawn. It does not make machines intelligent but instead it allows them to develop cognisance and learn by themselves as we humans do.
I am fascinated and looking forward to contribute my existence in this great thought of almighty came into human mind.
Guys! You could get a nice introduction from this presentation and explain it to others and even it could be used for your academic homework.
Goodluck! GODSPEED!
An Analysis of Benefits and Risks of Artificial Intelligenceijtsrd
Artificial intelligence AI is now typical technology in our everyday lives with applications in image and voice recognition, language translations, chatbots, and predictive data analysis. AI technological progress is likely to present us with many challenges. Furthermore, AI increasingly complex algorithms currently influence our lives and our civilization more than ever before. AI should be taken very seriously even if the probability of their rate were low. Our focus on this paper is an analysis of benefits and risks of AI was on highlighting the potential vulnerabilities and inequities that the use of AI executes. Win Mar | Yin Myo Kay Khine Thaw "An Analysis of Benefits and Risks of Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26667.pdfPaper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/26667/an-analysis-of-benefits-and-risks-of-artificial-intelligence/win-mar
Edelman’s 2019 Artificial Intelligence (AI) Survey compares the U.S. general public’s perceptions of AI with those of senior tech executives who have a front row seat on AI development and deployment.
Respondents in both survey groups clearly see the potential upsides of AI, but also significant problems; 60 percent of the general public and 54 percent of tech executives agree that regulation of AI is critical for its safe development.
While 91 percent of tech executives and 84 percent of the general public believe that AI constitutes the next technology revolution, there are very real concerns about its impact on society, business and government. These range from smart toys that could invade children’s privacy to negative impacts on the poor to a loss of human intellectual capabilities.
About a third of both groups believe AI-powered “deepfake” videos (videos or audio recordings that are doctored to alter reality) could lead to an information war that, in turn, might lead to a shooting war (30 percent of the general population; 33 percent of tech executives).
Among the key findings:
54 percent of the general public and 43 percent of tech executives say AI will hurt the poor, and 67 percent and 75 percent, respectively, believe it will benefit the wealthy;
71 percent of the general public and 65 percent of tech executives worry that AI will lead to a loss of human intellectual capabilities;
74 percent of the general population and 72 percent of tech executives say that smarter AI-powered devices will lessen the need for people to interact with others, leading to more isolation;
81 percent within the general population and 77 percent of tech executives believe that advances in AI will likely cause a reactionary response from a society that feels threatened;
51 percent of the general population and 45 percent of tech executives state that AI-powered deepfake videos could mean that no information is believable and that they are highly corrosive to public trust.
The research was developed by the Edelman AI Center of Expertise with input from the World Economic Forum.
Artificial Intelligence and Human Computer Interactionijtsrd
Computers are becoming ubiquitous and are playing significant roles in our lives. Domestic digital devices for leisure and entertainment are becoming increasingly important. To be usable, every computing device must allow for some form of interaction with its user. The human computer interaction is the point of communication between the human user and the computer. AI has been gradually being incorporated into human computer interaction HCI . As AI systems become more and more ubiquitous, it is imperative to understand those systems from a human perspective. This paper provides an introduction to the “marriage†between HCI and AI. Matthew N. O. Sadiku | Uwakwe C. Chukwu | Abayomi Ajayi-Majebi | Sarhan M. Musa "Artificial Intelligence and Human-Computer Interaction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47491.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/47491/artificial-intelligence-and-humancomputer-interaction/matthew-n-o-sadiku
Challenges and Solution for Artificial Intelligence in Cybersecurity of the USAvishal dineshkumar soni
The development of Information Technology can make a computer to act and think like humans. AI is an exceptional aspect of information technology that requires the event of a machine that reacts and works as a mind of the human. The artificial intelligence' key features include the human senses' analogy. The system is capable of recognizing touch and speeches as features that are placed within the system for running the normal life situation's potential activities without the assistance of humans. Artificial intelligence, however, is the intelligence' agents' study that takes the environment's condition and achieves its goal successfully. The majority of the systems in the computing World are built for serving the purposes as per the situation's nature with the unique features' application from the human's aspects' natural existing. Artificial intelligence is generally an associate of the humans that apply problem-solving techniques and learning for understanding activities' high levels in operation of the human-inspired elements, decision-making, and emotional cycle. As opposed to human intelligence, artificial intelligence is machine-based intelligence. This research paper is aimed at evaluating the current challenges related to artificial intelligence for cybersecurity in the United States. The research paper will propose the innovative solution for Artificial Intelligence in cybersecurity of the USA.
Explicable Artifical Intelligence for Education (XAIED)Robert Farrow
The application of artificial intelligence in AI is increasing, but there is a growing awareness of the profound ethical implications which are presently undertheorised. The emerging consensus is that there needs to be adequate transparency and explicability for the use of algorithms in education. This presentation provides an overview of AI in education (AIED) and characterises the requirement for explicability as a response to the ‘black box’ of machine learning. It is argued that explicability should be understood as part of a wider socio-technical turn in AI, and that there is a strong case for implementing full transparency in AIED as a default position. Such transparency threatens to disrupt traditional pedagogical processes, and mediation strategies will be needed. There are also instances where non-transparency may be justifiable and in these examples processes for auditing and governance.
IS AI IN JEOPARDY? THE NEED TO UNDER PROMISE AND OVER DELIVER – THE CASE FOR ...csandit
There has been a dramatic increase in media interest in Artificial Intelligence (AI), in particular
with regards to the promises and potential pitfalls of ongoing research, development and
deployments. Recent news of success and failures are discussed. The existential opportunities
and threats of extreme goals of AI (expressed in terms of Superintelligence/AGI and Socio-
Economic impacts) are examined with regards to this media “frenzy”, and some comment and
analysis provided. The application of the paper is in two parts, namely to first provide a review
of this media coverage, and secondly to recommend project naming in AI with precise and
realistic short term goals of achieving really useful machines, with specific smart components.
An example of this is provided, namely the RUMLSM project, a novel AI/Machine Learning
system proposed to resolve some of the known issues in bottom-up Deep Learning by Neural
Networks, recognised by DARPA as the “Third Wave of AI.” An extensive, and up to date at the
time of writing, Internet accessible reference set of supporting media articles is provided.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
10th International Conference on Artificial Intelligence and Applications (AI...gerogepatton
10th International Conference on Artificial Intelligence and Applications (AI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
May 2024 - Top 10 Read Articles in Artificial Intelligence and Applications (...gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)gerogepatton
3rd International Conference on Artificial Intelligence Advances (AIAD 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the area advanced Artificial Intelligence. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the research area. Core areas of AI and advanced multi-disciplinary and its applications will be covered during the conferences.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Information Extraction from Product Labels: A Machine Vision Approachgerogepatton
This research tackles the challenge of manual data extraction from product labels by employing a blend of
computer vision and Natural Language Processing (NLP). We introduce an enhanced model that combines
Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in a Convolutional
Recurrent Neural Network (CRNN) for reliable text recognition. Our model is further refined by
incorporating the Tesseract OCR engine, enhancing its applicability in Optical Character Recognition
(OCR) tasks. The methodology is augmented by NLP techniques and extended through the Open Food
Facts API (Application Programming Interface) for database population and text-only label prediction.
The CRNN model is trained on encoded labels and evaluated for accuracy on a dedicated test set.
Importantly, our approach enables visually impaired individuals to access essential information on
product labels, such as directions and ingredients. Overall, the study highlights the efficacy of deep
learning and OCR in automating label extraction and recognition.
10th International Conference on Artificial Intelligence and Applications (AI...gerogepatton
10th International Conference on Artificial Intelligence and Applications (AI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Research on Fuzzy C- Clustering Recursive Genetic Algorithm based on Cloud Co...gerogepatton
Aiming at the problems of poor local search ability and precocious convergence of fuzzy C-cluster
recursive genetic algorithm (FOLD++), a new fuzzy C-cluster recursive genetic algorithm based on
Bayesian function adaptation search (TS) was proposed by incorporating the idea of Bayesian function
adaptation search into fuzzy C-cluster recursive genetic algorithm. The new algorithm combines the
advantages of FOLD++ and TS. In the early stage of optimization, fuzzy C-cluster recursive genetic
algorithm is used to get a good initial value, and the individual extreme value pbest is put into Bayesian
function adaptation table. In the late stage of optimization, when the searching ability of fuzzy C-cluster
recursive genetic is weakened, the short term memory function of Bayesian function adaptation table in
Bayesian function adaptation search algorithm is utilized. Make it jump out of the local optimal solution,
and allow bad solutions to be accepted during the search. The improved algorithm is applied to function
optimization, and the simulation results show that the calculation accuracy and stability of the algorithm
are improved, and the effectiveness of the improved algorithm is verified
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
10th International Conference on Artificial Intelligence and Soft Computing (...gerogepatton
10th International Conference on Artificial Intelligence and Soft Computing (AIS 2024) will
provide an excellent international forum for sharing knowledge and results in theory, methodology, and
applications of Artificial Intelligence, Soft Computing. The Conference looks for significant
contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical
aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from
both academia as well as industry to meet and share cutting-edge development in the field.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
Employee attrition refers to the decrease in staff numbers within an organization due to various reasons.
As it has a negative impact on long-term growth objectives and workplace productivity, firms have
recognized it as a significant concern. To address this issue, organizations are increasingly turning to
machine-learning approaches to forecast employee attrition rates. This topic has gained significant
attention from researchers, especially in recent times. Several studies have applied various machinelearning methods to predict employee attrition, producing different resultsdepending on the employed
methods, factors, and datasets. However, there has been no comprehensive comparative review of multiple
studies applying machine-learning models to predict employee attrition to date. Therefore, this study aims
to fill this gap by providing an overview of research conducted on applying machine learning to predict
employee attrition from 2019 to February 2024. A literature review of relevant studies was conducted,
summarized, and classified. Most studies agree on conducting comparative experiments with multiple
predictive models to determine the most effective one.From this literature survey, the RF algorithm and
XGB ensemble method are repeatedly the best-performing, outperforming many other algorithms.
Additionally, the application of deep learning to employee attrition prediction issues also shows promise.
While there are discrepancies in the datasets used in previous studies, it is notable that the dataset
provided by IBM is the most widely utilized. This study serves as a concise review for new researchers,
facilitating their understanding of the primary techniques employed in predicting employee attrition and
highlighting recent research trends in this field. Furthermore, it provides organizations with insight into
the prominent factors affecting employee attrition, as identified by studies, enabling them to implement
solutions aimed at reducing attrition rates.
10th International Conference on Artificial Intelligence and Applications (AI...gerogepatton
10th International Conference on Artificial Intelligence and Applications (AIFU 2024) is a forum for presenting new advances and research results in the fields of Artificial Intelligence. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the conference covers all theoretical and practical aspects of the Artificial Intelligence.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
THE TRANSFORMATION RISK-BENEFIT MODEL OF ARTIFICIAL INTELLIGENCE:BALANCING RI...gerogepatton
This paper summarizes the most cogent advantages and risks associated with Artificial Intelligence from an
in-depth review of the literature. Then the authors synthesize the salient risk-related models currently being
used in AI, technology and business-related scenarios. Next, in view of an updated context of AI along with
theories and models reviewed and expanded constructs, the writers propose a new framework called “The
Transformation Risk-Benefit Model of Artificial Intelligence” to address the increasing fears and levels of
AIrisk. Using the model characteristics, the article emphasizes practical and innovative solutions where
benefitsoutweigh risks and three use cases in healthcare, climate change/environment and cyber security to
illustrate unique interplay of principles, dimensions and processes of this powerful AI transformational
model.
13th International Conference on Software Engineering and Applications (SEA 2...gerogepatton
13th International Conference on Software Engineering and Applications (SEA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering and Applications. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts and establishing new collaborations in these areas.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
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6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
6th International Conference on Machine Learning & Applications (CMLA 2024)
ARTIFICIAL INTELLIGENCE AND ITS IMPACT ON THE FOURTH INDUSTRIAL REVOLUTION: A REVIEW
1. International Journal of Artificial Intelligence & Applications (IJAIA) Vol.10, No.6, November 2019
DOI: 10.5121/ijaia.2019.10604 41
ARTIFICIAL INTELLIGENCE AND ITS
IMPACT ON THE FOURTH INDUSTRIAL
REVOLUTION: A REVIEW
Gissel Velarde
ABSTRACT
Artificial Intelligence may revolutionize everything during the so-called fourth industrial revolution, which
carries several emerging technologies and could progress without precedents in human history due to its speed
and scope. Government, academia, industry, and civil society show interest in understanding the
multidimensional impact of the emerging industrial revolution; however, its development is hard to predict.
Experts consider emerging technologies could bring tremendous benefits to humanity; at the same time, they
could pose an existential risk. This paper reviews the development and trends in AI, as well as the benefits,
risks, and strategies in the field. During the course of the emerging industrial revolution, the common good may
be achieved in a collaborative environment of shared interests and the hardest work will be the implementation
and monitoring of projects at a global scale.
KEYWORDS
Artificial Intelligence, Fourth Industrial Revolution, Deep Machine Learning, Emerging Technology, Human-
Computer Interaction, Common Good.
1. INTRODUCTION
Artificial Intelligence (AI) may revolutionize everything during the forthcoming industrial revolution,
serving a variety of emerging technologies [1, 2]. Recently, after a turbulent history of successes and
failures, intelligent machines demonstrate significant advances in tasks involving perception,
creativity and complex strategic execution [3, 4, 5, 6, 7].
Some argue that the widespread introduction of AI technologies may cause massive job reductions
and greater wealth inequality; however, unemployment decreased, and productivity increased during
the previous industrial and digital revolutions [2]. Others discuss whether machines could excel
human intelligence and, if so, what the consequences would be. The views on how AI will impact our
future are diverse, but the main trends are four: optimistic, pessimistic, pragmatic, and doubtful [2].
The optimists predict a utopian future of unlimited wealth, with computers and human-brains
connected to the cloud in a symbiotic enhancement, where humans work only on tasks of their interest
and robots take care of the rest of the jobs [2]. On the contrary, the pessimists believe that optimists
underestimate the danger of superintelligence leading and making important decisions for us [2].
Superintelligent machines, those smarter than the brightest people, could recursively improve
themselves and outperform humans on cognitive tasks, becoming potentially dangerous if their goals
attempt life [8]. The pragmatists believe that AI can be controlled through effective regulations and
research on human intelligence augmentation [2]. In this category, the view of economists is that AI
will make predictions cheaper, faster, better, and the complements to prediction such as
decisionmaking, data-collection, or judgment will increase their value and remain as exclusive tasks
to humans [9, Ch. 7]. At the same time, practitioners are aware that safety, ethics, and the alignment
of goals between superintelligent machines and humanity have to be addressed soon [10]. Finally, the
2. International Journal of Artificial Intelligence & Applications (IJAIA) Vol.10, No.6, November 2019
42
doubters do not believe AI can surpass biological intelligence, nor should AI be seen as a threat for
humans [2].
The forthcoming industrial revolution could progress without precedents in human history due to its
speed and scope, with AI playing a ubiquitous role [1, 2]. Section 2 presents the development and
trends in AI. Section 3, discusses the impact of AI, its benefits, risks, strategies and the initiatives that
might help drive the progress of the emerging industrial revolution towards the common good.
Section 4 presents the conclusion.
2. THE DEVELOPMENT OF AI, MACHINE LEARNING AND DEEP LEARNING
AI is the study of enabling entities to perceive, reason and act properly and with foresight in their
environment [6, 11, p. 13, p. 5]. In the middle of the nineteenth century, Ada Lovelace realized that
analytical machines had the power to solve problems of complex nature [12]. Almost one century
later, during the emerging time of computers, Alan Turing proposed that universal machines could do
anything, even mimicking human intellect [6, p. 61]. Computers mark the beginning of the digital
revolution [2].
Machine learning, a subfield in AI, is a data-driven approach that finds approximate solutions by
process of generalization. In 1959, the game of checkers was used to demonstrate that machine
learning enables computers to learn from experience eliminating the effort of programming them in
detail [13]. Soon after, machines demonstrated to be better than humans at solving intellectually
difficult tasks, such as solving problems described by lists of mathematical rules, but remained
challenged for decades on intuitive tasks performed easily by humans, such as recognizing faces or
speech [3, 4].
In 1989, a convolution neural network demonstrated to robustly classify handwritten digits, modeling
neural activation and processing [3]. Convolutional networks symbolize the beginning of the AI
revolution [2]. In 2012, deep learning machines broke by far records on the ImageNet classification
benchmark [7]. In the following years, deep networks won all competitions of the ImageNet and
became popular in various fields of research [3, p. 24, 7, p. 98].
Deep learning is a subfield in machine learning. The difference between shallow and deep learners is
the depth of possibly learnable causal links between actions and effects [7, p. 85]. Deep models learn
a hierarchy of concepts from simple to complex ones in a layered fashion and have been successful
thanks to developments in learning algorithms, implementations on Graphical Processing Units
(GPUs) and large amounts of data [3, 7]. Although deep learning appears as a new research frontier
[4], its roots can be traced back to the 18th century, with convolution principles formally described by
Lacroix in 1754 [14] and variants of linear regression methods developed in the early 1800s by Gauss
and Legendre [7, p. 90].
2.1. Trends in AI
AI is considered as the “new electricity” of the emerging industrial revolution, and particularly deep
learning will transform most industries making it indispensable to a wide range of businesses and
organizations [15]. Narrow AI, the type of AI that addresses specific problems, advances rapidly in
applications such as self-driving cars, games, and robotics. In contrast, Artificial General Intelligence
(AGI), that intelligence outperforming humans across a range of cognitive tasks, is seen as science
fiction; still, some experts consider AGI could occur by 2075 [16].
AI research and its applications expand rapidly. Some trends are identified as follows.
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2.1.1. Supervised Learning and Recommendation Systems
Possibly the most profitable applications in AI are those making use of supervised learning
algorithms: (i) predicting whether a user will click on an online advertisement, (ii) automatic object
recognition in applications to image, speech, audio, text, and (iii) suggesting whether someone should
be granted a loan [15]. Predicting personality and behavior from the user’s digital footprints (e.g.,
traceable actions, communications, profile pictures) is essential for recommendation systems [17].
Recommendation systems are considered as an emerging application, possibly due to their usefulness
in retail stores to suggest items that users might be interested in [18].
2.1.2. Deep Reinforcement Learning
Reinforcement learning agents should learn how to interact with unknown and dynamic environments,
aiming at maximizing a cumulative reward function that chooses between better or worse actions [7].
Reinforcement learning has been a recurrent research topic since the 1950s [7]. In recent years, it
gained extreme attention thanks to a deep reinforcement learning-based agent called AlphaGo, able to
learn how to play the strategy board game Go from scratch without human knowledge [5]. AlphaGo
defeated 60 professional players and a world champion after 21 days of training with an algorithm
considered to generalize to find solutions on any domain [19].
2.1.3. Representation learning
Computational methods strongly depend on data representations. The success of machine learning
algorithms seems strongly related to how discriminative are some representations in the variability of
the data [20]. Representation learning has become a relevant research field within AI [20, 3, p. 1798,
p. 9]. The trend is to avoid feature engineering and use end-to-end deep learning to extract relevant
features directly from the rough data. However, in some applications, end-to-end approaches do not
outperform some standard techniques, i.e., spectrograms are still widely used as an initial layer in
audio music applications [21].
2.1.4. Computational Creativity
Intelligence, perception and creativity are related [22, 23], and creativity is harder to define and
evaluate empirically than intelligence [23, p. 184]. Two decades ago, Boden considered creativity as a
fundamental human feature and a challenge for machines; and predicted that intelligent machines
would have less difficulty in becoming creative than in automating their evaluation [24]. Boden’s
prediction is certain so far and logical, given that in general, evaluating creativity is harder than
evaluating intelligence. In computational creativity research, evaluation is non-trivial and a ‘Grand
Challange’ [25], despite several computational creativity evaluation methodologies and frameworks
[24, 26].
Applications of deep generative models are varied. For example, generative models have been used to
write automatically fluent and coherent Wikipedia articles with relevant factual information [27];
machine-created images are auctioned in art galleries for almost $100,000 [28]; and people are not
better than random guessing when discriminating between pieces of music composed by J.S. Bach or
by a machine [29].
2.1.5. Human-Computer interaction
Computational creativity can boost human intelligence by providing tools that help to reason, e.g.,
machines that can learn to describe complex phenomena automatically [30]. Creative machines can
also be used to complete tasks such as automatically generating images from human sketches [30].
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Besides, it is envisioned that robots will increasingly interact in societies, and will have to behave
appropriately according to social values, norms, and legal rules [31].
2.1.6. Ethics, bias, fairness, privacy and safety
When designing intelligent machines, it is essential to consider addressing ethics, bias, fairness,
privacy, and safety. Algorithms can potentially be biased towards features present or inferred from the
data and contribute to discrimination in civil rights, financial services, or employment [32, p. 2].
Addressing privacy and fairness involves designing laws, regulations, and working towards
algorithmic transparency and algorithm output auditing [32, p. 12 and 25].
Poorly designed intelligent systems present the risk of accidents in real-world applications [10]. Safe
AI systems should (1) avoid adverse side effects and reward function Hacking; and (2) ensure scalable
supervision, safe exploration, and robustness to work properly on environments for which the
machines were not designed [10].
International organizations are working to develop and promote AI ethical guidelines. The highlevel
expert group on AI of the European Commission published ethics guidelines for trustworthy AI
considering regulations, laws, ethics, and robustness of systems from a technical and social
perspective [33]. Similarly, The Institute of Electrical and Electronics Engineers, Incorporated (IEEE)
provided ethically aligned design for autonomous and intelligent systems with recommendations on
standardization, certification, and regulation towards alignment of systems and societal well-being
[34]. Likewise, the Association for Computer Machinery published their Code of ethics, considering:
social impact, fairness, trust, privacy, and auditability, among other principles relevant for computing
professionals [35].
2.2. Machine Consciousness
There are various theories about consciousness and whether machines will ever be conscious is a
controversial topic [36]. Consciousness refers to a degree of “awakeness” and the idea that it is a brain
process became mainstream in 1994, when neuroscientists observed that if intelligence or creativity
could be simulated computationally, then consciousness could too [23, p. 183]. Still, consciousness
remains a mystery in neuroscience [23, p. 183]. According to a purely computational theory,
machines could be regarded as conscious if they would be able to develop (1) “mental”
representations globally available to the organism and (2) self-monitoring [36].
Conscious machines could prefer means or goals in conflict with those preserving humanity. Machine
consciousness research and development will have to involve machine compassion inherently.
Compassion is a helping behavior based on empathy connected to an imagined feeling of others [37,
p. 24-25].
3. THE IMPACT OF AI
The fourth industrial revolution is considered as an event without precedents in human history due to
its speed and scope [1]. Makridakis predicts that the forthcoming AI-powered revolution will come
into full force within the next twenty years, probably impacting society and firms at a larger scale than
the previous industrial ∼(1712-1919) and digital revolutions ∼(1943-1993) together [2]. If the future
world will be utopian or dystopian is uncertain [1, 2].
There is a boom in the number of scientific discoveries, areas of application and number of emerging
technologies such as biotechnology, 3-D printing, blockchain, virtual and augmented reality, internet
of things, smart cities, driverless cars, robotics and AI [1]. AI is expected to affect all industries and
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45
companies, enabling extensive organizational interaction and global competition [2]. Schwab
proposes that it is our responsibility to establish common values and policies that will enable
opportunities for all [1, p. 17].
3.1. AI Benefits, Risks and Strategies
Experts consider that AI-based systems can bring us closer to solve even the most challenging
problems, such as eradicating war and poverty [38, 19]. At the same time, the misuse of powerful
technologies could result in catastrophic consequences. Since 2015, over 4,000 AI and robotics
researchers and more than 26,000 other endorsers have signed an open letter to prevent a superiority
competition of autonomous weapons [39].
Six international organizations and almost 30 countries have established AI strategies and policies
since 2015 [40]. The international collaborations include the United Nations, the European
Commission, the Nordic-Baltic Region, the agreement between the United Arab Emirates and India,
the International Study Group of AI, and the leaders of the G7. The collaborative strategies address
competitiveness and collaboration, ethics, social benefit, safety, legal regulation, innovation, and
economic growth, among other topics, while the single-nation strategies are diverse.
3.2. The Common Good
Political authorities seem incapable of achieving the common good [41, p. 13], which refers to shared
interests, values, and facilities among members of a community [42]. Various societies around the
globe face several challenges reflecting deficient economic and social systems [43, 41, 44]. Schwab
suggests bringing together leaders from industry, government, faith, academy, and civil society to
collaborate, develop and implement sustainable solutions [1, p. 99]. In contrast, an award-winning
proposal submitted to the Global Challenges Foundation proposes to decentralize global governance
with blockchain and AI technologies through bottom-up participation and deliberative models [45].
Both ideas aim to promote collaboration and shared responsibility to achieve the common good
globally.
Since 2017, the AI for Good Global Summit gathers government, industry, academia, and civil
society; and promotes AI-based projects targeting and monitoring the Sustainable Development Goals
established by the United Nations. Another effort is the Beneficial Artificial General Intelligence
Conference held in 2015, 2017 and 2019. Incrementally, AI and machine learning conferences are
dedicating a session on beneficial AI. Established organizations include Google’s AI for Social Good,
Open AI, Partnership on AI, and AI for Humanity from the Université de Montréal.
During the AI for Good Global Summit 2019, experts recognized an opportunity to achieve the
Sustainable Development Goals established by the United Nations, if AI-based projects are well
defined and focused on solving real problems. On the other hand, it could be possible that the gap
between AI-empowered economies and non-AI-empowered economies will widen. There are several
challenges such as job transformation, re-skilling workers, and creating an inclusive environment.
Moreover, large repositories of data are concentrated in a few hands. Other topics discussed include
the necessity to ensure trust, privacy, security, fairness, and explainability, as well as enforcing ethical
guidelines, e.g., by law. However, it seems that technological innovations occur at a faster pace than
policymaking.
Often decision-makers remain caught into traditional thinking or are busy with immediate issues [1],
or may not fully understand the implications of a particular topic. The cyclical process of
policymaking can last several years; its impact is hard to predict and has a complex and interactive
environment between change-demandants, decision-makers, and the ones affected by policies [46].
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Decision support systems and scientific results are often not used in policy making [47]. Research
designed for social robots on decision-making, task planning, conflict resolution, and normative-goal-
directed reasoning under uncertainty [31], can give light on how to use technology to support a shared
social responsibility at local and global levels. The hardest work to be addressed will be implementing
and monitoring collaborative projects globally [2].
4. CONCLUSION
AI will be a ubiquitous technology during the forthcoming industrial revolution, since it enables
entities and processes to become smart. Organizations and economies adopting AI strategically, will
enjoy a competitive advantage over those who do not incorporate this technology timely and
adequately. Education and soft-skills development will play an essential chapter in AI strategies. In
the coming years, deep learning will remain popular in AI research. AI will be applied incrementally
in every research field and industry, producing substantial improvements. Still, the views on how AI
will impact society and firms will remain controversial, similarly to the opinions on whether AI will
outperform biological intelligence. The fourth industrial revolution promises great benefits, but entails
massive challenges and risks. It seems plausible but remote to achieve the common good globally, as
this will require global collaboration and shared interests.
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Authors
Gissel Velarde holds a PhD degree in Computer Science and Engineering from Aalborg
University. She participated as a research member of the European project, “Learning to
Create” (Lrn2Cre8) of the European Commission. She has developed machine learning
models for classification, structural analysis, pattern discovery, representation learning
and recommendation systems.