Artificial Intelligence Awareness Research Articles

Hospitality labor leakage and dynamic turnover behaviors in the age of artificial intelligence and robotics

Purpose This study aims to examine the impact of artificial intelligence (AI) adoption on job insecurity and its subsequent effect on turnover intentions within the hotel industry. It investigated how AI-induced job insecurity affects the likelihood of employees considering leaving their current hotel jobs for other hotels or for opportunities outside the hotel sector, mediated by feelings of job stress and insecurity. Design/methodology/approach Quantitative data analysis used 259 responses from frontline hotel employees. Confirmatory factor analysis was used to explore the factor structure and assess model fit indices. Structural equation modeling was then applied to test the hypotheses. Findings Findings reveal that AI awareness has a positive impact on job stress and insecurity. Moreover, job insecurity is found to positively affect turnover intentions, with a notably stronger effect observed for turnover intentions toward non-hotel companies. Additionally, the influence of social capital as a moderator on the relationship between job insecurity and turnover intention varies depending on the specific dimensions of turnover intention. Research limitations/implications This study contributes to enhancing both theoretical frameworks and empirical insights into turnover dynamics within the hotel sector. However, future research should take into account employees’ positions, roles, organizations and career levels by examining these factors in relation to technology awareness, job stress, job insecurity and turnover intention. Originality/value This study initially focuses on the phenomenon of dynamic turnover issues within the hospitality sector, offering empirical and practical perspectives on effectively integrating new technologies and managing human resources amidst the automation and AI era.

Assessing the Knowledge and Perception of Artificial Intelligence for Teaching and Research among Lecturers in the Faculties of Arts in Nigeria

This study assesses the knowledge of artificial intelligence (AI) for teaching and research among lecturers in the faculties of arts in Nigeria. Despite the growing recognition of AI's potential to enhance educational practices, there are significant gaps in educators' AI literacy. The research adopts a quantitative approach, surveying lecturers across Nigerian universities to gauge their awareness, engagement, and perceptions of AI integration. Results reveal a moderate level of AI awareness among respondents, with a notable interest in further training tailored to arts disciplines. Challenges such as technical barriers and limited resources hinder seamless AI integration, highlighting the need for targeted interventions and support mechanisms. Recommendations include enhanced training programs, infrastructure improvement, and ethical guidelines to facilitate responsible AI utilization in arts education. Addressing these challenges and fostering AI literacy among educators can create an enabling environment for leveraging AI to enhance teaching and research outcomes in Nigerian arts faculties.

Awareness of artificial intelligence: diffusion of AI versus ChatGPT information with implications for entrepreneurship

Awareness of artificial intelligence: diffusion of AI versus ChatGPT information with implications for entrepreneurship

Knowledge, attitude, and practice of artificial intelligence among medical students in Sudan: A cross-sectional study

Introduction: In this cross-sectional study, we explored the knowledge, attitudes, and practices related to artificial intelligence (AI) among medical students in Sudan. With AI increasingly impacting healthcare, understanding its integration into medical education is crucial. This study aimed to assess the current state of AI awareness, perceptions, and practical experiences among medical students in Sudan. We aimed to evaluate the extent of AI familiarity among Sudanese medical students by examining their attitudes toward its application in medicine. Additionally, this study seeks to identify the factors influencing knowledge levels and explore the practical implementation of AI in the medical field. Method: A web-based survey was distributed to medical students in Sudan via social media platforms and email during October 2023. The survey included questions on demographic information, knowledge of AI, attitudes toward its applications, and practical experiences. The descriptive statistics, chi-square tests, logistic regression, and correlations were analysed using SPSS version 26.0. Results: Out of the 762 participants, the majority exhibited a basic understanding of AI, but detailed knowledge of its applications was limited. Positive attitudes toward the importance of AI in diagnosis, radiology, and pathology were prevalent. However, practical application of these methods was infrequent, with only a minority of the participants having hands-on experience. Factors influencing knowledge included the lack of a formal curriculum and gender disparities. Conclusion: This study highlights the need for comprehensive AI education in medical training programs in Sudan. While participants displayed positive attitudes, there was a notable gap in practical experience. Addressing these gaps through targeted educational interventions is crucial for preparing future healthcare professionals to navigate the evolving landscape of AI in medicine. Recommendations: Policy efforts should focus on integrating AI education into the medical curriculum to ensure readiness for the technological advancements shaping the future of healthcare.

Knowledge and Perception of Artificial Intelligence among Faculty Members and Students at Batterjee Medical College

ABSTRACT Background: Mounting research suggests that artificial intelligence (AI) is one of the innovations that aid in the patient’s diagnosis and treatment, but unfortunately limited research has been conducted in this regard in the Kingdom of Saudi Arabia (KSA). Hence, this study aimed to assess the level of knowledge and awareness of AI among faculty members and medicine students in one of the premier medical colleges in KSA. Methods: A cross-sectional descriptive study was conducted at Batterjee Medical College (BMC), Jeddah (KSA), from November 2022 to April 2023. Result: A total of 131 participants contributed to our study, of which three were excluded due to incomplete responses, thereby giving a response rate of 98%. Conclusion: 85.4% of the respondents believe that AI has a positive impact on the healthcare system and physicians in general. Hence, there should be a mandatory course in medical schools that can prepare future doctors to diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments.

AI Consciousness and Technological Advancement in Bangladesh's Higher Education: AI Awareness among the Learners

This comprehensive research article explores the transformative potential and multifaceted challenges of integrating Artificial Intelligence (AI) consciousness and technological advancements into the higher education system in Bangladesh. The study delves into various dimensions of this integration, including its implications for pedagogy, curriculum, institutional policy, and technological innovation. A particular emphasis is placed on addressing disparities in AI awareness among future students in Bangladesh's higher education system. The research adopts a balanced approach, juxtaposing the promise of technological advancements with critical concerns related to data privacy, educational equity, and cultural preservation. Through interdisciplinary analysis and a robust set of policy recommendations, the study posits that Bangladesh stands at a pivotal moment. It can either seize this technological epoch to elevate its higher education system to global standards while mitigating AI awareness disparities or risk exacerbating existing educational inequities.

Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities

As Artificial Intelligence (AI) continues to permeate various aspects of societies, understanding the disparities in AI knowledge and skills across different living areas becomes imperative. Small living areas have emerged as significant contributors to Europe's economy, offering an alternative to the bustling environment of larger cities for those seeking an improved quality of life. Nonetheless, they often encounter challenges related to digital infrastructure, access to financial resources, and digital skills gaps, limiting their economic and social growth prospects. This study investigates the digital and AI skills gaps in the context of small and large European living areas, shedding light on the potential hindrances to unleashing the full economic and social potentials of these regions in an AI-enabled economy. Drawing from a comprehensive dataset encompassing 4,006 respondents across eight EU countries, this research examines the current perceptions and understandings of AI and digital skills within two distinct population groups: residents of smaller living areas and their counterparts in larger communities. Through bivariate analysis, notable insights are revealed concerning trust in AI solutions and entities, self-assessed digital skills, AI Awareness, AI Attitudes and demography variables in both population groups. These insights may refer to the significance of addressing digital and AI skills gaps in fostering growth and preparedness for the AI-driven future. As AI becomes increasingly integral to various aspects of society, targeted interventions and policies are essential to bridge these gaps and enable individuals and communities to harness the transformative potential of AI-enabled economies.

“Technopian but lonely investors?”: Comparison between investors and non-investors of blockchain technologies, cryptocurrencies, and non-fungible tokens (NFTs) in Artificial Intelligence-Driven FinTech and decentralized finance (DeFi)

Drawing from the literature on decentralized finance (DeFi) and third-level digital (in)equality as well as from the emerging literature on artificial intelligence (AI), this study examined differences between investors and non-investors of blockchain technologies, cryptocurrencies, and non-fungible tokens (NFTs). Data from a cross-sectional survey among users of AI technologies (N = 502) indicate that investors of blockchain technologies, cryptocurrencies, and NFTs show higher blockchain transparency perception, greater trust in cryptocurrencies, and higher perceived asset value of NFTs than non-investors. Results also indicate that investors show greater technopian views on AI, higher AI awareness, and higher third-level AI equality than non-investors. Furthermore, the mediation effect of trust in cryptocurrencies on the relationship between investment status and perceived asset value of NFTs and the moderation effect of AI awareness on the relationship between investment status and third-level AI equality were revealed. Differential psychographics of investors versus non-investors were also found such that investors feel lonelier, experience higher existential isolation, and indicate higher need to belong than non-investors. Unique theoretical contributions to the literature on the intersection of DeFi and third-level digital (in)equality in light of AI-driven digital transformation as well as managerial implications for the emerging NFT FinTech marketplace are discussed.

Assessing the performance of Bing Chat artificial intelligence: Dental exams, clinical guidelines, and patients’ frequent questions

ObjectivesBing Chat is a large language model artificial intelligence (AI) with online search and text generating capabilities. This study assessed its performance within the scope of dentistry in: (a) tackling exam questions for dental students, (ii) providing guidelines for dental practitioners, and (iii) answering patients’ frequently asked questions. We discuss the potential of clinical tutoring, common patient communication and impact on academia. MethodsWith the aim of assessing AI's performance in dental exams, Bing Chat was presented with 532 multiple-choice questions and awarded scores based on its answers. In evaluating guidelines for clinicians, a further set of 15 questions, each with 2 follow-up questions on clinical protocols, was presented to the AI. The answers were assessed by 4 reviewers using electronic visual analog scale. In evaluating answers to patients’ frequently asked questions, another list of 15 common questions was included in the session, with respective outputs assessed. ResultsBing Chat correctly answered 383 out of 532 multiple-choice questions in dental exam part, achieving a score of 71.99 %. As for outlining clinical protocols for practitioners, the overall assessment score was 81.05 %. In answering patients’ frequently asked questions, Bing Chat achieved an overall mean score of 83.8 %. The assessments demonstrated low inter-rater reliability. CONCLUSIONSThe overall performance of Bing Chat was above the regularly adopted passing scores, particularly in answering patient's frequently asked questions. The generated content may have biased sources. These results suggest the importance of raising clinicians’ awareness of AI's benefits and risks, as well as timely adaptations of dental education curricula, and safeguarding its use in dentistry and healthcare in general. Clinical significanceBing Chat AI performed above the passing threshold in three categories, and thus demonstrated potential for educational assistance, clinical tutoring, and answering patients’ questions. We recommend popularizing its benefits and risks among students and clinicians, while maintaining awareness of possible false information.

INFLUENCE OF ARTIFICIAL INTELLIGENCE ON BUSINESS DECISION-MAKING

The paper delves into the influence of artificial intelligence (AI) on business decision-making. By examining this phenomenon's technical, strategic, and ethical dimensions, the study seeks to unravel the implications that artificial intelligence integration brings to decision-making. The study conducted a comprehensive analysis to investigate the perceptions and experiences of individuals regarding integrating artificial intelligence in business decision-making. The study involved a detailed examination of demographic characteristics, artificial intelligence awareness, implementation status, perceived impact on decision-making speed and accuracy and ethical considerations related to bias in artificial intelligence-driven decision-making. The findings show that the gender and age distribution of respondents influence the perception and use of artificial intelligence in business decision-making. And artificial intelligence-driven decisions are dominant in the healthcare sector. Furthermore, artificial intelligence awareness and implementation indicated a generally positive outlook, with significant acknowledgement and familiarity among respondents. There is a positive perception of artificial intelligence making decisions faster with a positive contribution to the accuracy of business decisions. However, there is a record of some biases in artificial intelligence-driven decision-making. This highlights a significant concern in the fair and equitable application of artificial intelligence algorithms. This shows the importance of addressing biases to ensure ethical decision-making. The hypothesis testing sought to ascertain whether the incorporation of artificial intelligence is contingent on the accuracy of business decisions. The chi-square test results indicated insufficient evidence to propose a noteworthy relationship between the integration of artificial intelligence and decision accuracy. This implies that organizations should explore additional factors influencing decision accuracy, recognizing that artificial intelligence integration alone may not be the sole determinant.

Awareness of Artificial Intelligence as an Essential Digital Literacy: ChatGPT and Gen-AI in the Classroom

ABSTRACT This discussion article examines the potential integration of Generative Artificial Intelligence (Gen-AI), including advanced Large-Language Models like the popular platform ChatGPT into subject English education. Following the significant public and academic attention in response to these technologies through 2023, this paper considers the transformative potential and challenges posed by Gen-AI in educational settings. Central to the discussion is the exploration of how English teachers can leverage Gen-AI to enrich student learning beyond the obvious domain of writing skills. Instead, the article foregrounds the necessity for students’ understanding of Gen-AI as an essential component of digital literacy. While acknowledging ethical concerns such as plagiarism, equity, and access, the paper presents an argument for the productive use of Gen-AI in the classroom to augment reading, viewing, and interpretation lessons. Avoiding an evangelical or dystopian view of AI, this discussion piece explores the time-critical and urgent issue of how, when, and why English can engage with the technology.

The Role of Artificial Intelligence in Developing Digital Transformation Skills Language Communication, and Scientific Trends among Students of the College of Education at Al Ain University

A scientific subject called artificial intelligence (AI) aims to create computer systems that function as efficiently as a skilled human does. Such effectiveness can substantially improve education by utilising the most cutting-edge technologies. To determine the level of AI awareness among Al Ain University faculty members and to investigate the connections between AI awareness, the digital transformation scale (DTS), and the technological, scientific scale (TSS), this study set out to measure that awareness. The descriptive-correlational research technique of the study included three analyses, with a particular focus on AI, DTS, and TSS. 101 academics, or 43.5% of the College of Education faculty, were represented in the sample from all departments. They were chosen using a simple random sampling technique. The quantitative data analysis revealed that the faculty members exhibited a medium level of awareness, with a mean score of 3.05 on a 5-point scale. A correlation value of 0.139 and a significance coefficient of 0.165 indicated no statistically significant correlation between faculty members’ awareness of AI and DTS. With a correlation of 0.568 and a significance level of P <0.01, the study found that among faculty members, there was a direct and statistically significant positive link between AI awareness and TSS. It is essential to prepare faculty members for using AI in the classroom and to modify their perspectives on it by holding seminars and providing them with the training they need to do so.

Digital Competence as Predictor for the Motivation to Use Artificial Intelligence Technologies among Librarians in Edo and Delta States, Nigeria

Motivation to use artificial intelligence (AI) technologies are those factors that influenced users’ drive to actually use AI technologies. There are various AI technologies that librarians can adopt to improve their service functions. However, studies have shown that the use of AI among librarians is low. It is in the light of this that this study therefore investigated the motivation to use AI technologies among librarians in Edo and Delta States. Descriptive survey research design was adopted. The population consist of 125 librarians selected from 18 Universities in Edo and Delta States, Nigeria. Total enumeration technique was adopted because of the manageable size of the population. A validated questionnaire was used to collect data from the respondents.  Data collected was analysed using both inferential and descriptive statistics. Finding revealed that digital competence (Adj. R2 = 0.195, p = 0.000b) has significant but weak influence on motivation to use AI technologies among librarians. The study concluded that digital competence influenced motivation to use AI technologies. The study recommended that there should be more awareness of AI among librarians. At the same time, librarians should improve their digital skill through regular training programs so that they can effectively use AI tools.

Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan

This article explores the pivotal intersection of Artificial Intelligence (AI), student engagement, and academic performance in higher education, specifically at Kabul University. As technology evolves, understanding AI's implications on education becomes critical for effective pedagogical strategies and student readiness. The research aims to bridge the gap between technological advancements and educational practices, comprehensively investigating AI's impact on student engagement and academic performance. The study addresses awareness, ethical considerations, autonomy perceptions, and AI integration into curricula. Employing a quantitative approach, the study involves 200 students from various Kabul University faculties, utilizing SPSS version 23 for analysis. Regression analyses, ANOVA, and structured questionnaires allow a nuanced exploration of AI engagement dimensions. Key findings indicate commendable AI awareness in students' daily lives, with room for improvement in academic integration. Ethical considerations emphasize a baseline for ethical AI use. Autonomy perceptions and AI tool engagement reveal nuanced layers, emphasizing a holistic AI education approach. In conclusion, this research advocates a balanced AI integration in education, offering implications for pedagogical strategies, curriculum development, and institutional policies. The findings guide educators, policymakers, and institutions in navigating AI-enhanced learning environments, ensuring students' technological literacy and ethical grounding.

Assessment of Awareness, Perception, and Opinions Towards Artificial Intelligence among Health Care Professionals and Medical Students at Tertiary Care Teaching Hospital: A Cross-sectional Study

Background: Artificial intelligence (AI) in healthcare, including machine learning and deep learning, enhances diagnosis and treatment across specialties like cardiology, dermatology, and ophthalmology. Its applications extend to transcription, patient data organization, and remote healthcare, offering support to medical professionals and transforming medical education for students and trainees. Methods: A prospective cross-sectional study was conducted with consecutive sampling, and 90 medical students were included in the study. Data was collected using Questionnaire data forms and analysed. Results: The findings revealed that 73.9% of students were aware of AI, but a significant 80.0% reported a lack of formal education on the subject. Positive perceptions included the recognition of AI's efficacy in reducing errors (71.1%) and facilitating patient education (56.7%). However, concerns were raised regarding potential impacts on the healthcare professional-patient relationship. The majority (56.7%) advocated for the integration of AI knowledge and skills into the academic curriculum. The mean positive perception score of 29.8 showed associations with age, and year of study. Conclusion: This study underscores the need to address gaps in AI awareness and advocates for the integration of AI education into pharmacy curricula. The findings highlight nuanced perspectives among students and emphasize the potential benefits of tailored educational strategies to harness positive attitudes toward AI integration in healthcare.

Community pharmacists awareness, perceptions, and opinions of artificial intelligence: A cross-sectional study in Riyadh, Saudi Arabia.

Several revolutions are currently taking place in the healthcare industry to provide accurate, reliable, and valid healthcare to patients. Among these is artificial intelligence (AI). This study aimed to assess the CP's awareness, perceptions, and opinions of AI in health care among community pharmacists. This cross-sectional survey-based study was conducted over 3 months in 2023 using structured prevalidated 34 items questionnaires. In this study, 94.5% (n= 258) of the CPs were aware of AI, yet 25.6% (n= 70) believed that AI would eventually replace healthcare professionals. However, 63.4% (n= 173) of the CPs concurred that AI is a technology that supports healthcare workers. 12.8% of the CPs believed that there is a risk of losing their jobs if AI is widely used in Saudi Arabia, but 68.9% (n= 188) of them considered that healthcare professionals will benefit from the extensive use of AI. Eighty-four percent of CPs (n= 232) agreed or strongly agreed that AI decreases drug mistakes in clinical practice. Similarly, 86% of the CPs (n= 235) concurred that AI makes it easier for patients to access the service. In contrast, almost 58% of the CPs (n= 232) agreed that AI makes it easier for healthcare professionals to acquire information, and 87.9% of the CPs (n= 240) said that AI helps them make better decisions. This study concluded that most of the CPs were aware of AI and agreed that AI is a tool that helps healthcare professionals. In addition, the majority of the CPs thought that AI adoption in healthcare practice will benefit healthcare practitioners.

인공지능(AI)에 대한 고등학생 인식 조사

In this study, we aimed to understand how high school students perceive artificial intelligence (AI) in the context of the influence of AI. We sought to identify what is necessary for the proper implementation of AI education. To achieve this, the study conducted surveys targeting students from five high schools in Region B. The surveys covered their understanding and awareness of AI, perceptions of AI learning, awareness of AI applications, and recognition of the role of AI. A total of 272 respondents were analyzed. Survey results revealed that high school students generally recognized the importance of AI in their lives, however, their interest in learning about AI was relatively low. While there was a high perceived need for education on creating AI application content, there was a negative perception towards utilizing AI in career choices. Although AI was perceived as necessary and having a positive impact on human life, some negative perceptions emerged regarding its influence on human employment. Ultimately, high school students considered their understanding of AI to be at a moderate level, but negative aspects were revealed concerning learning and career choices. This means that education on AI has not been properly integrated, the context of exam-focused school systems. Therefore, it is suggested that educational activities incorporating AI in school curricula as well as providing meaning to AI in career exploration education.

Converging perspectives: Assessing AI readiness and utilization in Philippine higher education

In rapidly evolving landscape of technology, the integration of artificial intelligence (AI) has become prevalent, reshaping various facets of students’ lives. This study delved into the uncharted territory of AI awareness, utilization, and perceptions among college students. The study used a convergent parallel mixed-methods design, integrating quantitative survey data with qualitative responses in order to get insights on the impact of AI in education and society. The survey found that college students familiarity on AI depends on age, academic year, and field of study. This emphasizes the need for targeted AI education to overcome knowledge inequalities, particularly among younger cohorts and in fields with little AI expertise. AI usage is usually modest for academic and personal purposes, while insights includes its uses in academic research, job administration, and language translation. The varied application of AI requires institutions to adapt their procedures, and societal impacts which are largely seen positively. This optimism is tempered by concerns about job loss, data privacy breach, technological overuse, and human decision-making. Thus, comprehensive AI education programs are needed to address and traverse these varied opinions. The results emphasized the necessity for institutions and policymakers to be proactive when artificial intelligence is transforming many companies and social systems. Students must learn AI literacy, combining knowledge and practical application, to navigate the AI-driven environment's complexity and opportunities. The endeavor requires teaching technical skills and a deep grasp of AI's social and ethical implications. Institutions can prepare students for a future where artificial intelligence is becoming more important by understanding these effects and tailoring teaching.

Attitude, Awareness, and Understanding of Artificial Intelligence AI among Medical and Dental Students in Jordan: A Cross-Sectional Study

BACKGROUND: The rapid growth of AI has transformed various sectors, including healthcare. AI aids medical diagnoses and treatment planning, but challenges such as privacy and ethical concerns exist. Understanding AI is crucial for medical and dental students in Jordan to enhance patient care. This study examines students' attitudes, awareness, and understanding of AI to inform effective education and better healthcare practices. METHODS: A cross-sectional study was conducted in Jordan among medical and dental students from Nov 2022 to Mar 2023. Data were analyzed using descriptive statistics, Mann-Whitney U test, Kruskal-Wallis tests, and Spearman's correlation. Ethical approval was obtained, and SPSS was used for analysis. RESULTS: The study involved 800 respondents, predominantly female (54.6%) and with an average age of 19.81 years. Most participants were medical students (64.6%), had a national diploma (75.0%), and were in their first or second year of education (73.1%). The majority were single (97.9%), and 75.1% resided in the central region. In terms of technology background, 38.8% had family members in the technology sector, and half used electronic devices for 3-6 hours daily. Over 75% used electronic devices for studying, while 44.1% had taken technology courses, with only 23.5% having specifically studied Artificial Intelligence (AI). Additionally, 46.0% had prior research experience, but only 18.0% had participated in AI-related research. Participants rated their overall technology knowledge at 2.91 ± 1.06 and AI knowledge at 2.43 ± 1.21. The main sources of AI information were social media (35.0%). Regarding AI applications, 28.0% believed it would enhance medical diagnosis, while 24.0% expressed concerns about hacking and cybersecurity. Only 10.0% planned to consistently incorporate AI into their future medical practice. Statistical tests revealed significant differences in awareness of AI based on study field (p-value = 0.034), income (p-value = 0.028), previous technology involvement (p-value = 0.004), ICDL course participation (p-value = 0.02), AI course participation (p-value < 0.001), and programming language learning (p-value = 0.001). Similar variations were observed in understanding AI basic principles, with additional significance related to research course participation (p-value < 0.001). Attitudes toward AI differed only among those with previous technology course involvement (p-value = 0.037). Spearman's correlation indicated a moderate positive association between awareness of AI in medicine and dentistry and understanding of AI basic principles (r: 0.491, p < 0.001). CONCLUSION: The younger generation of medical and dental professionals’ views AI as a collaborator in their practice. Strong interest and active engagement in AI-related courses highlight the importance of integrating AI education into medical curricula for innovative healthcare practices.

Assessment of knowledge and awareness of artificial intelligence and its uses in dentistry among dental students in Jammu and Kashmir: A questionnaire based survey

Artificial intelligence (AI) is the ability of computers or other machines to secure understanding in order to carry out tasks that traditionally need human knowledge. The present study aims to assess their knowledge, attitude and practice towards artificial intelligence among dental students. A survey based questionnaire was done to study the knowledge, attitude and practice about artificial intelligence among dental students of Jammu & Kashmir. A total questionnaire of 15 questions were collected by Google form app. SPSS statistical analysis was done. A total of 540 participants participated in this survey. The results were collected and data were analyzed. Maximum of the participants had good knowledge, positive attitude and practical nature towards the artificial intelligence. The difference of the result is statistically significant (p<0.05) From the study it was concluded that the majority of participants were aware of artificial intelligence and its applications.