Significance Of Artificial Intelligence Research Articles

Significance of Artificial Intelligence in Recruitment Process

HR is the division of a business that is charged with finding, screening, recruitment, training job applicants. It typically finds, trains, hires and fires employees. Organization are increasingly recognizing the critical role of HRD in nurturing their most valuable asset- their people, it starts from the very sourcing, screening, recruiting, induction, performance management and their development. With the changing scenario, technological advancement has impacted HR process significantly. The innovation of artificial intelligence and machine learning are now significantly entered the field of human resource development. AI system can analyze vast amount of HR data to identify potential candidate and predict their chances of getting shortlisted foe a particular job. AI recruitment reduces by automating all the mundane tasks. Recruitment has become a hotbed for AI applications in HR. The platform has led to an improvement in candidate experience by making it easier for job seeker to apply for open position and communicate directly with the company. With the changing scenario and advancement in technology, AI has incorporated in every disciple. It helps I increasing the human efficiency of doing task for quick and better achievement of organizational objectives. HR department in itself is in a pivot position as it starts before any function comes into action. It plays key role in streamlining all the departments and processes that are working towards business operations. AI isn’t here to replace human recruitment but it’s here to make their lives infinitely easier. Though AI finds no comparison to the human brain, still it’s a game changer for improving the quality of work done.

Artificial Intelligence and Immersive Technologies in Higher Pedagogical Education

The purpose of the study. The problem of using the capabilities of artificial intelligence and immersive technologies in educational programs is being updated. The article is devoted to the analysis of the role, functions and significance of artificial intelligence and immersive learning technologies in the development of an open educational environment and its personal segments formed by subjects of educational relations in the process of preparing graduates of pedagogical universities to change the conditions of modern society. The possibilities of Generative Pretrained Transformers (GPT) and virtual reality in its various manifestations (AR, VR, AVR) are discussed. Their influence on the formation of the personal educational environment of graduates of pedagogical universities is shown.Materials and methods. The method of comparative analysis of scientific publications in the field of artificial intelligence development, immersive learning technologies, and the formation of a personal educational environment is used. The capabilities of a number of GPT services have been experimentally tested. The ideas about the role and functions of new resources in improving the educational process are summarized. The forecast of the integration of artificial intelligence and immersive technologies in pedagogical education is given.The results of the study. It is shown that Generative Pretrained Transformers are able to implement reference and encyclopedic, constructive and creative, analytical, control and training functions in the educational process while observing the ethics of their application. The connection between the development of artificial intelligence and the appearance in the global information network of virtual characters imitating human appearance and behavior in various contexts, and anthropomorphic robots capable of communicating with humans for educational purposes is indicated. Attention is drawn to the inclusion of new means of communication with artificial intelligence in the personal educational environment of the lecturer, which provides him/her with a combination of the functions of a supplier and at the same time a consumer of knowledge. The prospects of the emergence of virtual and anthropomorphic pedagogical agents with artificial intelligence in the education system and in informal communications are assessed. The educational possibilities of augmented reality, virtual reality and augmented virtual reality as means of immersive learning technologies are defined. The pedagogical and technological conditions for the safe use of immersive learning technologies are given. It is noted that the creation of personal educational environments with components of artificial intelligence and immersive technologies makes it possible to organize the processes of teaching and self-education of a lecturer, ensuring the subjective nature of his/her personal and professional growth and mobility in a complicated world.Conclusion. The conclusion is made that the creativity of innovative lecturers, which is visible in their open educational environments, is a resource for overcoming the reproductive nature of the functioning of pre-trained neural networks. The authors believe that positive feedback in the joint evolution of artificial intelligence (AI) tools and personal segments of the open educational space will contribute to the transformation of the existing information society into a learning society. This makes it possible to form a system of open meta-education according to the needs of each individual.

Role of artificial intelligence in customer engagement: a systematic review and future research directions

Role of artificial intelligence in customer engagement: a systematic review and future research directions

Embracing the Era of Artificial Intelligence: Innovation and Preparation in Nursing Education

Rapid recent advances in information technology have opened the door for artificial intelligence (AI)-related technologies to be applied extensively across many industries. The Ministry of Education has emphasized the importance of cultivating advanced-level professionals in diverse fields, particularly in smart machinery, the Asia-Silicon Valley sector, green energy technology, biotechnology, national defense, new agricultural, and circular economy industries, to enhance innovation and promote industrial competitiveness (Kuo, 2019). While interdisciplinary talent in AI and digital innovation is being actively developed elsewhere, nursing education remains in the exploratory phase of AI and digital technology talent cultivation. Although AI is now a well-known term, the competencies required for its application in nursing remain unclear. Moreover, most nursing professionals are unfamiliar with how to best integrate AI into nursing expertise or practice settings. With the application of AI in the healthcare industry now unstoppable, it is vital to consider how to help nursing students adapt to healthcare's new technology landscape (Huang et al., 2021). AI facilitates the digital simulation of human thought patterns, logic, and behaviors with the goal of assisting human users solve problems, especially those that are time-consuming and require repetitive processing. The development of AI requires interdisciplinary collaboration among domain experts, data scientists, software engineers, robotics experts, and computer programmers. Such collaboration is essential to developing products able to meet the demands of the times and to help students become competent future nursing professionals (Murray, 2018). Nurses spend the most time interacting with patients and are thus best able to understand the perceptions and challenges of patients and their families. Collaborating with professionals from interdisciplinary fields is the best strategy for achieving optimal healthcare outcomes. However, nursing schools have yet to provide a clear response to the impact of AI on nursing education. Nursing educational institutions must enable nursing students to comprehend the concepts and principles of AI and equip them with AI literacy to allow them to unleash their potential, continuously innovate, and stay abreast with the times (Ng et al., 2021). In this issue, experts and scholars currently engaged in AI-related research in the nursing discipline share their research findings in the realms of machine learning, deep learning, emotional recognition, and natural language application. These articles offer insights into the implications of AI, suggest how nursing education may best respond to emerging AI trends, and provide the authors' perspectives on nursing education reform. The editor hopes readers will be inspired to explore new concepts, gain a deeper understanding of the application and significance of AI, and apply AI to address clinical and educational challenges to foster competent nursing professionals for tomorrow.

A Significance of Artificial Intelligence in Overall Development of Human in the Digital Era

With continuous spreading of World Wide Web, human life is transforming towards global Digital Era, and there is explosion of information and is growing in wide range. In this research article researcher is trying to explain the different phases of humankind which is going through the particular circumstances as need of time. 21st century concept of Artificial Intelligence is introduced and now it is became most significant part of our daily routine Life. Though we are not aware about some scientific concepts of Modern Technology but knowingly or unknowingly we are following those applications in every single second. This article will first scrutinize the Artificial Intelligence concept, its applications & discuss its importance in overall development of Humankind. In short, we can say that artificial intelligence seems to be the future and first hand tool of the Digital world. Experts believe that it will soon become a part of human life, Due to this technology it will completely change the way we look at the world. With this Modern technology, the future looks interesting and exciting.

Exploring the Relationship between the Coverage of AI in WIRED Magazine and Public Opinion Using Sentiment Analysis

The presence and significance of artificial intelligence (AI) technology in society have been steadily increasing since 2000. While its potential benefits are widely acknowledged, concerns about its impact on society, the economy, and ethics have also been raised. Consequently, artificial intelligence has garnered widespread attention in news media and popular culture. As mass media plays a pivotal role in shaping public perception, it is crucial to evaluate opinions expressed in these outlets. Understanding the public’s perception of artificial intelligence is essential for effective public policy and decision making. This paper presents the results of a sentiment analysis study conducted on WIRED magazine’s coverage of artificial intelligence between January 2018 and April 2023. The objective of the study is to assess the prevailing opinions towards artificial intelligence in articles from WIRED magazine, which is widely recognized as one of the most reputable and influential publications in the field of technology and innovation. Using two sentiment analysis techniques, AFINN and VADER, a total of 4265 articles were analyzed for positive, negative, and neutral sentiments. Additionally, a term frequency analysis was conducted to categorize articles based on the frequency of mentions of artificial intelligence. Finally, a linear regression analysis of the mean positive and negative sentiments was performed to examine trends for each month over a five-year period. The results revealed a leading pattern: there was a predominant positive sentiment with an upward trend in both positive and negative sentiments. This polarization of sentiment suggests a shift towards more extreme positions, which should influence public policy and decision making in the near future.

Developing Ethical Usage Guid-elines for Customers of Artificial Intelligence and Big Data Analytics: Ethical Applications within Realm of Big Data Analytics

In both the operational and customer-facing facets of the insurance sector, big data analytics and ever-evolving machine learning and artificial intelligence (AI) capabilities have become indispensable. Insurance-related goods and services, which cover things like business property insurance, auto insurance, and personal health insurance, are essential for advancing the economy and society. The significance of artificial intelligence and machine learning in preserving this equilibrium within the insurance industry has already been established. However, as AI and machine learning are used more frequently, it creates new issues and calls into question the industry's moral standards. In order to shed light on any potential new conflicts and concerns, it is vital to look into the ethical ramifications and conundrums surrounding the use of data in insurance innovation. In order to examine and gain a deeper understanding of the ethical landscape relating to the tensions surrounding the use of big data analytics, AI, and machine learning methodologies to sustain the operations of the insurance industry, this study combines the insights of insurance professionals with the expertise of an AI ethics specialist.

AI-Enabled Health Systems: Transforming Personalized Medicine And Wellness

The field of medicine has been revolutionised by uses of artificial intelligence (AI). Based on a review of the existing literature, this investigation delves deeper into the significance of artificial intelligence in healthcare, examining its impact in six key areas: There are many different kinds of administration software used in the healthcare industry, including (i) imaging and diagnostics, (ii) online patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other applications. The early diagnosis and containment of a coronavirus disease 2019 (COVID-19) outbreak, the provision of virtual patient care utilising AI-powered tools, the management of electronic health records, the improvement of patient engagement and compliance with the treatment plan, and the reduction of health care administrators' administrative workload are just a few examples of how artificial intelligence has made a significant impact on the healthcare industry. However, the scientific method includes AI into medical practise while simultaneously addressing a wide range of difficult logistical, moral, and sociological concerns.

Employee’s Attitude Towards Artificial Intelligence in the Indian Banking Sector

Purpose: This paper aims to examine employees' attitudes towards the utilization of Artificial Intelligence (AI) in the Indian Banking Sector. The study delves into understanding how employees perceive the integration of AI technologies and its impact on various aspects of banking operations.
 
 Theoretical framework: Built upon the significance of AI as a transformative technology, this research seeks insights into employees' perspectives on AI adoption within the Indian Banking Sector. The study is framed within the context of technological implementation and its influence on organizational processes.
 
 Design/Methodology/Approach: Utilizing a mixed-methods approach involving surveys and interviews, this study collects data on employees' attitudes towards AI in banking. A questionnaire captures diverse viewpoints, while interviews provide deeper insights into the reasons underlying these attitudes.
 
 Findings: The study uncovers a range of employee attitudes towards AI integration in the Indian Banking Sector. Positive responses highlight AI's contributions in areas like accounting, sales, contracts, and cybersecurity. Conversely, some employees express concerns about job security and advocate for enhanced training and upskilling opportunities.
 
 Research, Practical & Social implications: This research adds a unique perspective by presenting Indian banking employees' viewpoints on AI implementation. The findings hold practical implications for banking organizations aiming to effectively manage the incorporation of AI technologies while addressing employee concerns. Additionally, the study underscores the importance of facilitating adequate training to ensure a seamless transition.
 
 Originality/Value: This study stands out as one of the limited research endeavors focused on Indian banking employees' attitudes towards AI. By concentrating on this aspect, the research offers valuable insights into the human dimension of technological advancement, contributing both academically and practically to the banking sector.

Revolutionizing Agriculture: A Case Study of IBM's AI Innovations

Background / Purpose: The development of computer systems that can carry out tasks that traditionally require human intelligence is referred to as artificial intelligence (AI). It entails the development of intelligent machines that can reason, learn, solve issues, and make judgements. A fast-developing topic, AI has enormous ramifications for many different businesses and facets of society. By leveraging advanced algorithms and data analysis techniques, AI systems can process and interpret large amounts of information in real-time, enabling them to extract valuable insights and patterns that may be difficult for humans to perceive.AI technologies have a wide range of applications across multiple domains, including healthcare, finance, transportation, manufacturing, education, entertainment, including agriculture. When referring to AI in the context of agriculture, we mean the use of advanced analytics and computational algorithms to analyse massive volumes of agricultural data, anticipate the future, and give farmers and stakeholders useful information. The main goal of using AI to agriculture is to increase efficiency, sustainability, and productivity across a range of farming operations, also to create smart and efficient systems that can monitor, analyze, and control water resources in real-time, leading to improved water management and sustainable agricultural practices, thereby addressing the challenges faced by the agricultural sector.AI offers significant potential to optimize water usage, enhance crop productivity, and mitigate environmental impact. In this paper, IBM, a significant provider of services in the sector of agriculture in recent years, is examined. Objective: In this case study, artificial intelligence is the main topic with particular emphasis on IBM's agricultural technology. Design/Methodology/Approach: Academic works published in a variety of peer-reviewed journals, conferences, and business websites provided the necessary information and specifics for this case study on IBM. Findings/Result: This study is primarily concerned with the usefulness and significance of AI in the modern world. The demand for and necessity of the numerous resources. provided by IBM, discussion topics include the company's business plan, varied results, top clientele, and numerous service types. Originality/Value: The analysis gives a concise description of IBM, the types of data collected and managed, information on artificial intelligence (AI), and the numerous AI services offered by IBM. Paper Type: Case study on the importance of storage and computing requirements for AI services offered by different service. providers, with a focus on IBM.

An Evaluation of the Impact of Artificial Intelligence on Socio-Economic Human Rights: A Discourse on Automation and Job Loss

Artificial Intelligence (AI) is already here, and is speedily transforming industries. This paper examines the impact of AI on the socio-political rights of the people globally, particularly in the area of job loss. Automation is not a new concept. It can be traced to the introduction of machines into industries back in the Second and Third Industrial Revolutions. However, the automation introduced by artificial intelligence is of a higher level. Artificial Intelligence is taking risks for humans in the manufacturing industry, mining industry, and even in the Military. It is versatile, that is, it is capable of being used in every sector of the world, and with the rate of technological unemployment, (caused by automation), the significance of Artificial Intelligence has become subject to controversy. This research adopts a desk based doctrinal research methodology to examine the issue of socio-economic human rights in era of automation. This research discovers that AI will create jobs, but an analysis of research studies on job loss due to automation reveals the large margin between jobs created by AI and jobs lost due to AI, thus posing threats to socio-economic human rights. It also discovers that the jobs created by AI require only persons with technical skills and knowledge for employment in the nearest future. AI will cause deskilling and falling wages. This research work recommends that legislations must be put in place to ensure that the use of AI technologies are controlled in order to give the government enough time to balance the inequality created by AI technologies. Technical skills acquisition and robot tax can be adopted by nations to enable them cope with the speed of AI.

Building Trust in AI -A Simplified Guide to Ensure Software Quality

In recent years, Artificial Intelligence (AI) has emerged as an innovative technology in a variety of areas, including software development. The demand for high-quality software has grown in tandem with the increasing complexity of applications and user expectations.AI-driven approaches are revolutionizing traditional software development methodologies by automating and augmenting various stages of the development life cycle, leading to improved efficiency, reduced costs, and enhanced software quality. This research explores the crucial role of AI in developing high-quality software and its impact on the software development process. Firstly, it discusses how AI technologies like machine learning, natural language processing, and deep learning can facilitate requirements gathering, analysis, and validation, leading to better understanding and refinement of user needs. Next, it delves into the significance of AI in automating the coding process, such as generating code snippets, fixing bugs, and optimizing performance, thus accelerating development and reducing human errors. Moreover, the paper highlights the pivotal role of AI in software testing and quality assurance. AI-powered testing tools can execute comprehensive tests more efficiently, detect defects, and predict potential software vulnerabilities, thereby enhancing the overall reliability and robustness of the software product. Additionally, AI techniques can enable real-time monitoring and analytics, allowing developers to identify and address issues promptly during the software's operational phase. Furthermore, the paper addresses the ethical considerations and challenges associated with AI in software development, including bias in training data, interpretability of AI-driven decisions, and potential job displacement for software developers.

Significance of Artificial Intelligence in Mental Health Detection for Overall Development

Abstract: With the rapid development of human civilization, the capability of the human brain is also increasing with the fast pace of development which is eventually leading to mental health issues varying from young stage students to working professionals. Mental health is the least concerning issue in the life of today’s generation when compared to physical health. One of the main concerns about which very few are aware is that mental problems can lead directly to several other physical problems and several terminal diseases. Such cases can affect a person’s normal life adversely in various ways from affecting day-to-day routine, the standard of living, and relationship trauma. Early-stage detection is significantly important for the cause but gets delayed due to irresponsible handling or ignorance of the situation, where artificial intelligence can play a vital role. In today’s era, everything can be predicted using complex mathematical calculations which can be promptly paced up when integrated with computer science and programming concepts. Numerous pieces of research are being done in the dimension of artificial intelligence and machine learning for early-stage detection of issues related to mental health with optimized accuracy. This can lead directly to the early treatment required with the concerned patient with the help of a counsellor or a psychiatrist if required. This study concluded the implementation of AI for early detection of the mental health issues focuses in dimension of AI and its sub fields such as, machine learning for early-stage detection of issues related to mental health with optimized accuracy. A nation like India is a great way to become a developed nation and implementing AI-based technology will accelerate the developing phase for overall sustainable development.

Advances in artificial intelligence, robotics, augmented and virtual reality in neurosurgery.

Neurosurgical practitioners undergo extensive and prolonged training to acquire diverse technical proficiencies, while neurosurgical procedures necessitate a substantial amount of pre-, post-, and intraoperative clinical data acquisition, making decisions, attention, and convalescence. The past decade witnessed an appreciable escalation in the significance of artificial intelligence (AI) in neurosurgery. AI holds significant potential in neurosurgery as it supplements the abilities of neurosurgeons to offer optimal interventional and non-interventional care to patients by improving prognostic and diagnostic outcomes in clinical therapy and assisting neurosurgeons in making decisions while surgical interventions to enhance patient outcomes. Other technologies including augmented reality, robotics, and virtual reality can assist and promote neurosurgical methods as well. Moreover, they play a significant role in generating, processing, as well as storing experimental and clinical data. Also, the usage of these technologies in neurosurgery is able to curtail the number of costs linked with surgical care and extend high-quality health care to a wider populace. This narrative review aims to integrate the results of articles that elucidate the role of the aforementioned technologies in neurosurgery.

Keystroke Biometric Data for Identity Verification: Performance Analysis of Machine Learning Algorithms

Cyber-attacks are on the rise in today's environment, where traditional security measures are ineffective. As a result, the adoption of cutting-edge tools such as artificial intelligence technology is critical in the fight against cyber threats. User behaviors, such as keyboard dynamics, provide potential data that can be used for protection against cyber-attacks. Keystroke dynamics is one of the fastest and most cost-effective methods that can be used to detect user behaviors, as it can be captured using standard user keyboards. The analysis of this data and protection against cyber-attacks is made possible through machine learning algorithms. Based on keyboard dynamics, this study analyzes the performance of k-Nearest Neighbor (k-NN), Support Vector Machines (SVM), Random Forest (RF), and Neural Network (NN) methods for user behavior analysis and anomaly detection. The findings shed light on the significance of artificial intelligence in cyber security by examining the accomplishments of several machine learning algorithms. The study's findings may serve as a foundation for future research and novel solutions in the realm of cyber security.

Transforming Healthcare with Artificial Intelligence in Pakistan: A Comprehensive Overview

Artificial Intelligence (AI) is transforming healthcare globally, including in Pakistan. This research journal paper provides an overview of the role and significance of AI in healthcare, ethical considerations, regulatory frameworks, challenges faced byAI healthcare startups, and the current landscape of AI adoption in Pakistan's healthcare system. AI has the potential to revolutionize disease prevention, diagnosis, and treatment by leveraging large healthcare datasets, advanced computational power, and machine learning algorithms. It improves patient outcomes, enhances clinical decision-making, and optimizes healthcare delivery. Globally, AI applications in healthcare encompass medical imaging, clinical decision support, drug discovery, genomics, and remote patient monitoring. AI algorithms accurately diagnose various medical conditions, predict treatment responses, and identify therapeutic targets. Successful AI implementations include combating antimicrobial resistance and improving pediatric healthcare. Ethical considerations in AI healthcare involve bias mitigation, privacy, transparency, and the role of healthcare professionals in shared decision-making. Regulatory frameworks and guidelines are being developed worldwide to ensure safe and responsible AI implementation. Quality criteria for AI-based prediction models focus on performance, interpretability, generalizability, and robustness. Legal and ethical considerations encompass liability, accountability, and the principles of beneficence, autonomy, and justice. In Pakistan, the integration of AI in healthcare can address challenges like limited resources and uneven distribution of healthcare facilities. AI technologies can analyze medical data, diagnose disease outcomes, and personalize treatment plans.

Significance of artificial intelligence in the development of sustainable transportation

The idea of Sustainable development has gained more attention since it involves satisfying needs without degrading the environment. Sustainable development has many targets across various subjects in which Sustainable Transportation is one of the cores to sustainable development. The objective of sustainable transportation is to achieve social, environmental and economic growth with universal access, enhanced safety, improved resilience and infrastructure, reduction of emission in greenhouse gases, traffic management, freight management by different modes of transportation. It is vital and interlinked across several sustainable development goals (SDGs) and targets in the 2030 Agenda proposed by United Nations. There is a need to improve sustainable transportation, which can be achieved through artificial intelligence as it helps the sector to increase public transport, traffic safety, reduce accidents and improve traffic management, decrease carbon emissions, rise reliability and also leverage economic growth through methods like Fuzzy logic (FL), Artificial Neural Networks, Ant Colony Optimiser, Genetic algorithms, Swarm optimization algorithm, Simulated Annealing. It is also supported by Big Data Analysis, Internet of Things, Robotic process Automation. This paper addresses the overview of the importance of sustainable transportation along with the role of artificial intelligence in different modes of transportation, current level of sustainability across globe, progress in transport system and conclude with challenges and future improvements that can be made towards the goal.

Trustworthy artificial intelligence: A decision‐making taxonomy of potential challenges

AbstractThe significance of artificial intelligence (AI) trustworthiness lies in its potential impacts on society. AI revolutionizes various industries and improves social life, but it also brings ethical harm. However, the challenging factors of AI trustworthiness are still being debated. This research explores the challenging factors and their priorities to be considered in the software process improvement (SPI) manifesto for developing a trustworthy AI system. The multivocal literature review (MLR) and questionnaire‐based survey approaches are used to identify the challenging factors from state‐of‐the‐art literature and industry. Prioritization based taxonomy of the challenges is developed, which reveals that lack of responsible and accountable ethical AI leaders, lack of ethics audits, moral deskilling & debility, lack of inclusivity in AI multistakeholder governance, and lack of scale training programs to sensitize the workforce on ethical issues are the top‐ranked challenging factors to be considered in SPI manifesto. This study's findings suggest revising AI‐based development techniques and strategies, particularly focusing on trustworthiness. In addition, the results of this study encourage further research to support the development and quality assessment of ethics‐aware AI systems.

Assessment of Factors Influencing Agility in Start-Ups Industry 4.0

Agility has a special place in the start-up Industry 4.0 era. More research is required to properly comprehend the agile implications of start-up Industry 4.0 regarding the impact of digitization on the economy, the environment, and society. Investigating the effects of start-up 4.0 agility is still in its early stages. The current study simulates the variables impacting agility in start-up activities in Industry 4.0 to tackle this problem. In addition to the pre-arranged interview, a closed-ended questionnaire was used to gather information. In the context of start-up operations 4.0, the MICMAC technique is used to evaluate and categorize the components that contribute to agility in order to comprehend their interconnections. The research identified eleven characteristics of facilitating agility in start-up operations 4.0. Industry 4.0 concepts have significantly influenced large organizations but deploying agility in start-up 4.0 has been less visible. Hence, this study presents an innovative approach to incorporating agility in modern start-up operations. The significance of artificial intelligence, cloud computing, network and connectivity, technology, and digital twin in this context is evident. The research provides important light on the elements that contribute to the successful use of agility in start-up 4.0, offering useful insights for stakeholders and academics.

A Methodological Literature Review of Acoustic Wildlife Monitoring Using Artificial Intelligence Tools and Techniques

Artificial intelligence (AI) has become a significantly growing field in the environmental sector due to its ability to solve problems, make decisions, and recognize patterns. The significance of AI in wildlife acoustic monitoring is particularly important because of the vast amounts of data that are available in this field, which can be leveraged for computer vision and interpretation. Despite the increasing use of AI in wildlife ecology, its future in acoustic wildlife monitoring remains uncertain. To assess its potential and identify future needs, a scientific literature review was conducted on 54 works published between 2015 and March 2022. The results of the review showed a significant rise in the utilization of AI techniques in wildlife acoustic monitoring over this period, with birds (N = 26) gaining the most popularity, followed by mammals (N = 12). The most commonly used AI algorithm in this field was Convolutional Neural Network, which was found to be more accurate and beneficial than previous categorization methods in acoustic wildlife monitoring. This highlights the potential for AI to play a crucial role in advancing our understanding of wildlife populations and ecosystems. However, the results also show that there are still gaps in our understanding of the use of AI in wildlife acoustic monitoring. Further examination of previously used AI algorithms in bioacoustics research can help researchers better understand patterns and identify areas for improvement in autonomous wildlife monitoring. In conclusion, the use of AI in wildlife acoustic monitoring is a rapidly growing field with a lot of potential. While significant progress has been made in recent years, there is still much to be done to fully realize the potential of AI in this field. Further research is needed to better understand the limitations and opportunities of AI in wildlife acoustic monitoring, and to develop new algorithms that can improve the accuracy and usefulness of this technology.