AI For Whom? Participation, Power and Educational Pathways in the Age of Artificial Intelligence

Problem setting. Digitalization, as a defining trend today, inevitably leads to significant transformations in the system of public administration. Digital transformation in the public sector are critical important value to meet the customer needs in the digital age. The COVID-19 pandemic and quarantine restrictions have led to the rapid development of various digital technologies and tools, and to strengthen the negative socio-economic trends (poverty, unemployment, inequality, social exclusion, return of migrant workers) and led to the unusual conditions of life and work. Therefore, there is a growing need to strengthen the role of public authorities in regulating the socio-economic development of the country through broad inclusion of different segments of the population, communities and territories, in particular, taking into account current trends and opportunities for digital technology in public administration.Recent research and publications analysis. Theoretical and applied aspects of inclusive development and growth are reflected in researches by: J.Gupta, S.Klasen, R.Ranieri, R.A.Ramos, L.Winters, A.Atkinson and E.Marlier. Peculiarities and interrelation of digital development, inequality and inclusion are considered in the works of S.Rader, M.Fouwani and A.Joshua.The works of: K.Schwab, O.Karpenko, V.Namesnik, N.Savchenko, L.Fedulova, and T.Zaporozhets are devoted to the issues of digital transformation of public administration and digital development of society. Conceptual principles are defined in detail in the Concept of Development of the Digital Economy and Society of Ukraine for 2018-2020, as well as in international reports and declarations.However, little attention is devoted to the issue of the use of digital technologies in public administration of inclusive local development to address pressing problems in Ukraine, particularly at local level.The paper objective – to substantiate the need and opportunities for the use of digital technologies in public administration of inclusive local development.The paper main body. The article substantiates the necessity and possibilities of using digital technologies in public administration of inclusive local development. In particular, are presented: the conceptual foundations of the formation of an inclusive society in the digital age, the features of the using digital technologies and ensuring digital inclusion at the national and local levels.Information, communication and digital technologies are becoming an increasingly important part of the social and economic life of the population around the world. To ensure the quality functioning of households, enterprises, communities and countries in general, it is necessary to have a developed digital infrastructure. Digital access allows people to earn a living, have social contacts, expand access to information and a variety of public services, and promote better public decision-making policies.Analyzed and defined terms such as “inclusion”, “inclusive society”, “digital inequality (exclusion, gap)”, “digital inclusion”, “rural gap”, “gender gap”. The possibilities of digital technologies and digital development are revealed, which should be aimed at increasing the efficiency of activity, economic growth, employment and improving the life quality of all citizens, including vulnerable and marginalized population categories. Is proved that the public administration system must constantly change and adapt to the digital society realities in order to ensure the diverse needs of the population.Conclusions and perspectives for further research. The research showed that digital development and digital access allow to bring services and services closer to the person (consumer), to make them more convenient and accessible, which contributes to improving the quality of life of different segments of the population. This is facilitated by the availability of broadband Internet and infrastructure, the availability of appropriate devices (computers, smartphones, routers, etc.), advanced digital skills and a desire to receive services online. Opportunities for digital participation in decision-making for the benefit of community and country development are also increasing.Public policy on digital inclusion must take into account the unique information and communication needs of all groups, especially vulnerable and marginalized groups in specific social situations, so that they can function effectively in the digital society.Prospects for further research may be to explore the possibilities of public administration in the field of digital development to strengthen the socio-economic potential of Ukraine and to reduce various types of inequalities in response to new challenges.

The article highlights the main features of the inclusive educational process in Ukraine and Spain, including: the historical development of inclusive education, as one of the main factors influencing the formation of inclusive education policy, regulatory support for inclusive education, the formation of the main components of universal design in learning: accessibility, material and technical support, methodological support, readiness of human resources; awareness of student youth on inclusion issues and practical aspects of implementing an inclusive education model. The purpose of the article is to analyze the prerequisites for the development of inclusive education in Ukraine and Spain, as well as to present the results of the study on the awareness of student youth of Ukraine and Spain in the implementation of inclusive education process. The Spanish experts in the field of inclusion, emphasize that at present there is more noticeable progress in the country on issues related to inclusion than several years ago. The country’s policy is to constantly seek justice and equality, to involve the whole society in this process and to eliminate marginalization and discrimination. There is a noticeable sensitivity to minority rights and their integration into a nation-wide society. This is not only facilitated by the interest of parents, associations and organizations claiming their rights, but also by the much wider social movements that protect the civil rights of people with disabilities. According to the observations of the European Research Association, the current state of training specialists in Ukraine to work in an inclusive educational environment does not satisfy public requests and needs. The majority of teachers and preschool educators experience the lack of theoretical knowledge and practical skills to work with children with special educational needs. There is also a psychological and methodological unpreparedness of pedagogical staff, classroom leaders and subject teachersto teach a number of disciplines for children who have certain special educational needs. In general, according to the research, the problem of education for children with special needs is important for our society. The study founds that the awareness of the population is quite high, with the vast majority of those surveyed familiar with the inclusion process. It should be noted that the majority of respondents have positive expectations about the introduction of universal design in education. Based on the results obtained, it can be concluded that the difference in the perception of the inclusive process between Ukrainians and Spanish is small, but the Spanish are more positive about the situation of inclusion than Ukrainians. Key words: inclusive educational process, universal design in learning, individual and differentiated approach to children with special educational needs.

The study aims to substantiate the necessity and potential of forming the pedagogical readiness to participate in the inclusive educational process at school among parents of preschool-aged children. The paper presents a model for the formation of the pedagogical readiness to participate in the inclusive educational process at school among parents of preschool-aged children; describes the blocks of the model – methodological, organizational and content-related, performance-evaluative; presents empirical data confirming the effectiveness of the formation of the pedagogical readiness to participate in the inclusive educational process at school among parents of preschool-aged children in accordance with the proposed model. The scientific novelty of the study is determined by the enrichment of the theory of inclusive education by substantiating and developing the model for the formation of the pedagogical readiness to participate in the inclusive educational process at school among parents of preschool-aged children as a theoretical guideline for building interaction with parents of preschoolers in the context of their pedagogical readiness formation considered in this study as an integral personal parameter; by recording facts proving the possibility of increasing the level of formation of this readiness based on the developed scientific and methodological support in the form of the author’s program and its components – the constituents of the model. As a result, the author comes to the conclusion that the formation of the pedagogical readiness to participate in the inclusive educational process at school among parents of preschool-aged children is possible, but cannot be limited to the parents’ mastery of only the procedural side of the activity. Purposeful work is needed to develop their personal qualities and positive parental attitudes related to the acceptance of the value of inclusion and the child in it, changing the parental mentality.

BackgroundArtificial Intelligence (AI) technologies have already started impacting clinical practice across various settings worldwide, including the radiography profession. This study is aimed at exploring a world-wide view on AI technologies in relation to knowledge, perceptions, and expectations of radiography professionals. MethodsAn online survey (hosted on Qualtrics) on key AI concepts was open to radiography professionals worldwide (August 1st to December 31st 2020). The survey sought both quantitative and qualitative data on topical issues relating to knowledge, perceptions, and expectations in relation to AI implementation in radiography practice. Data obtained was analysed using the Statistical Package for Social Sciences (SPSS) (v.26) and the six-phase thematic analysis approach. ResultsA total of 314 valid responses were obtained with a fair geographical distribution. Of the respondents, 54.1% (157/290) were from North America and were predominantly clinical practicing radiographers (60.5%, 190/314). Our findings broadly relate to different perceived benefits and misgivings/shortcomings of AI implementation in radiography practice. The benefits relate to enhanced workflows and optimised workstreams while the misgivings/shortcomings revolve around de-skilling and impact on patient-centred care due to over-reliance on advanced technology following AI implementation. DiscussionArtificial intelligence is a tool but to operate optimally it requires human input and validation. Radiographers working at the interface between technology and the patient are key stakeholders in AI implementation. Lack of training and of transparency of AI tools create a mixed response of radiographers when they discuss their perceived benefits and challenges. It is also possible that their responses are nuanced by different regional and geographical contexts when it comes to AI deployment. Irrespective of geography, there is still a lot to be done about formalised AI training for radiographers worldwide. This is a vital step to ensure safe and effective AI implementation, adoption, and faster integration into clinical practice by healthcare workers including radiographers. ConclusionAdvancement of AI technologies and implementation should be accompanied by proportional training of end-users in radiography and beyond. There are many benefits of AI-enabled radiography workflows and improvement on efficiencies but equally there will be widespread disruption of traditional roles and patient-centred care, which can be managed by a well-educated and well-informed workforce.

Artificial intelligence is changing the world in unprecedented ways and redefining all areas of human activity. In recent decades, the development of AI has progressed at an extraordinary pace. This study examines the scope of implementing AI in the financial sector, insurance, and financial controlling. The research team focuses on these areas, as the main objective of this review is to provide a comprehensive walk-through and to fill the gaps in the literature related to AI implementation in finance, insurance, and financial control from an economic perspective. We provide a comprehensive overview of AI implementation in finance, insurance, and financial controlling, highlighting crucial issues in that process and identifying the relationship between the development of these economic sectors and AI. The authors’ team identifies the trends and main themes in the existing literature in AI-related publications in finance, insurance, and financial control. We discuss the main advantages and disadvantages of AI implementation, identified by our research, and also make some suggestions regarding future research having in mind the interdisciplinary of the topic, the vast development of AI and technologies, and the increasing demand for AI-based solutions, services and products.

BackgroundConsidering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ethical and legal perspective. It concludes with suggestions for improvements to help healthcare professionals better navigate the AI wave.MethodsWe analyzed the literature that specifically discusses ethics and law related to the development and implementation of AI in healthcare as well as relevant normative documents that pertain to both ethical and legal issues. After such analysis, we created categories regrouping the most frequently cited and discussed ethical and legal issues. We then proposed a breakdown within such categories that emphasizes the different - yet often interconnecting - ways in which ethics and law are approached for each category of issues. Finally, we identified several key ideas for healthcare professionals and organizations to better integrate ethics and law into their practices.ResultsWe identified six categories of issues related to AI development and implementation in healthcare: (1) privacy; (2) individual autonomy; (3) bias; (4) responsibility and liability; (5) evaluation and oversight; and (6) work, professions and the job market. While each one raises different questions depending on perspective, we propose three main legal and ethical priorities: education and training of healthcare professionals, offering support and guidance throughout the use of AI systems, and integrating the necessary ethical and legal reflection at the heart of the AI tools themselves.ConclusionsBy highlighting the main ethical and legal issues involved in the development and implementation of AI technologies in healthcare, we illustrate their profound effects on professionals as well as their relationship with patients and other organizations in the healthcare sector. We must be able to identify AI technologies in medical practices and distinguish them by their nature so we can better react and respond to them. Healthcare professionals need to work closely with ethicists and lawyers involved in the healthcare system, or the development of reliable and trusted AI will be jeopardized.

The purpose of the article is to study global transformations that exert their influence on the system of international economic relations, and to reveal their relevance to megatrends that shape technological development and exacerbate the problem of digital inequality. The concepts of "megatrend" and "transformation" are united in the concept of "fundamental changes" and their classification is proposed. It has been established that technological and innovative development is an important megatrend, at the center of which is technological innovation, which becomes a trigger for digital inequality and the basis for the spread of new technologies, automation and robotics, human augmentation, as well as disruptive innovations that lead to transformational changes in industries. Based on the analysis of the list of long-term trends from ten years ago, it was established that international organizations demonstrate a high level of predictive ability. The problem of worsening technological inequality is defined as a fundamental threat that has such a profound impact that it changes the nature and speed of new scientific discoveries and transforms production and management systems. Digital inequality is the result of asymmetric manifestations of hyper-connectivity, which exacerbates the problem of digital security, control over social media, which in turn creates threats to social cohesion, social and economic polarization, and makes control over the explosive growth of data imperative. Multipolarity is defined as one of the global trends that affects the problem of economic inequality, which made it possible to understand global transformations and digital inequality, resorting to an alternative interpretation of the category "multipolarity" with a focus on digital transformation. The phenomenon of datapoly was considered and it was established that the problem of countering datapoly, management of "disruptive" technologies appears as a priority in the context of worsening manifestations of digital inequality. It is argued that the formation of the economy of digital platforms, the development of the sharing economy, the development of the collaborative economy can provoke an asymmetric distribution of digital dividends, as well as exacerbate digital information asymmetries and digital gaps. Asymmetric concentration of data centers is defined as a manifestation of digital inequality. The positions of the countries on the market of data centers are analyzed. It is proposed to consider multipolarity 3.0 as the result of a change in power centers in the conditions of digital transformation, characterized by new forms of digital inequality, which include: (1) access to data (collection, processing and analysis of digital data allows increasing the accuracy of forecasts and the effectiveness of decisions made); (2) the quality of automation processes (the combination of traditional technologies with artificial intelligence leads to the creation of systems that work autonomously and self-organize, which reduces the frequency of errors, increases speed and reduces operational costs); (3) the level of digital access to customers (the Internet, and mobile Internet in particular, provides new intermediaries with direct access to customers, increasing transparency and enabling the promotion of new types of services); (4) connectivity quality (connecting the entire value chain through high-bandwidth mobile or fixed networks synchronizes supply chains and shortens both production time and innovation cycles). Key words: global transformations, megatrend, trend, fundamental changes, technological development, digital economy, inequality, digital inequality, technologies, multipolarity, datapoly, power centers, Bigdata

Topic. The article was prepared on the basis of an analysis of axiological aspects of the implementation of artificial intelligence (hereinafter referred to as AI), ethical problems arising from its use, including in litigation, and was prepared on the basis of regulatory legal acts of the Russian Federation and foreign countries in the digital sphere, multilateral agreements on the use of AI, as well as scientific literature. The work considers not only approaches to legal regulation, but also presents the features of the development and implementation of AI in different countries, defines the role of multilateral agreements of large companies in the field of AI use, as well as the need to revise the current legislation. Objectives. The purpose of the article is to compare legal regulation and approaches to the implementation of AI, including in judicial activities, in different countries based on the analysis of regulatory legal acts of the Russian Federation and foreign countries, to identify problems of legal regulation and uncertainties in this area for subsequent resolution. Methodology. In the process of analyzing scientific approaches to the implementation of AI and legislation in various countries, formal legal and comparative legal methods, theoretical analysis, including scientific literature were used. Thus, the risks of using AI were identified, including ethical ones, a comparison of approaches to legal regulation in different countries was made, the content of agreements on the development and use of AI was determined, etc. Results/conclusions. Relations related to the implementation of AI technologies continue to be one of the unregulated areas in many states. The novelty of this scientific work is expressed in the relevance of the topic under consideration, which is due to the time and rapid development of AI, introduced into many areas of society, as well as in the formation of proposals for improving the legislation of the Russian Federation, filling the gaps in legal regulation, which, given the widespread use of AI-based technologies, is a necessary measure. Also, due to the fact that these legal relations are currently regulated to a greater extent by multilateral agreements, it is necessary to develop requirements for them, including in order to maintain a balance of interests of AI developers and its users. In addition, it is proposed to enshrine the concept of AI in legislation, determine responsibility for actions performed with the help of AI, enshrine AI as an object of civil rights and add its concept, criteria for classifying an object as AI and its legal regime to the legislation.

Holly Herndon shares her vision of the trajected development of AI technologies in music. This chapter explores how AI has inspired Herndon’s collaborations with different artists and musicians. Holly Herndon reflects on how contemporary artists can navigate challenges within the music industry and shares her perspective on the future development and implementation of AI within creative music practice. Holly Herndon explores how music production can be improved by technology. She reviews the human-centred approach and assumes significance of AI being a supplementary tool for creative process. This chapter will investigate the impact of the ‘misleading’ nature of the term AI and the possible consequences it might bring to the art. Holly Herndon will share her personal experience of going through the COVID pandemic in 2019 and reveal the inspiration and project drawn from that. This chapter will discuss copyright and diversity issues. Holly Herndon addresses the copyright court cases and connects the possible implications in law and ethics to the disruptive nature of AI in the music industry. She emphasises her fascination for human voice and its important part in music-creation practice.

This article is devoted to the study of the prospects for the development and implementation of AI in industry in the context of digital transformation. Autonomous factories, integrated supply chains, and autonomous vehicles is a real proof of technological advances that AI brings to life. The article highlights a number of problems and challenges for Russian industry based on the results of applied research conducted in November-December 2023 at 18 medium and large industrial enterprises. The main conclusions include not only the identified systemic problems and risks (shortcomings in digitalisation methodology, ambiguity in calculating economic parameters, lack of technical expertise), but also the most promising areas for the development of AI technologies. The study finds significant potential for enhancing the technologies of the Industry 3.0 and Industry 4.0 paradigms using AI tools. Also, it describe the necessary changes in enterprise management and regulatory government activities aimed at realising the identified potential. In conclusion, the article emphasises the need to optimise parallel imports, develop human capital and adequately analyse the economic parameters of industrial enterprises’ digital transformation project. The authors emphasise the relevance of studying the prospects for the development of AI in industry for Russian economic science in the period 2024–2026.

It is difficult to imagine contemporary society without the internet. While many people benefit from the opportunities and possibilities offered by the online world, digital inequalities reinforce existing social inequalities. Poverty and digital exclusion are closely intertwined, creating a cycle in which limited access to digital resources can exacerbate social and economic disadvantage. Several studies have attempted to map existing digital inequalities and identify barriers to internet appropriation. However, the questions of how these barriers affect a person's life, why these barriers exist, and how they can be remedied appropriately remain largely unanswered. What is clear, however, is that adequate support requires an integrated approach addressing all elements of Internet appropriation: attitude and motivation, material access, skills, and usage. In turn, this will have a positive impact on the economic, social, cultural, and personal life domains. This dissertation takes a qualitative approach to explore these dynamics in depth. Its central goal is to understand how households experiencing poverty can be best supported to leverage internet use as a tool for improving their social position and overall life opportunities.<br/><br/>This dissertation began with a systematic literature review that examined barriers to and outcomes of internet use for households experiencing poverty, followed by interviews with Dutch social workers who shared their experiences concerning digital inclusion and poverty. Building on these perspectives, we conducted interviews with Dutch parents living in poverty, residing in the municipality of Enschede. We asked the parents about their experiences with internet use, what barriers they encounter, and where they could use support. These insights were then translated into concrete support through a cocreation session and a focus group, resulting in the development of the digital inclusion intervention ‘Samen wegwijs op het internet’ (SWOI). SWOI was subsequently implemented and evaluated, with the lessons learned documented and analyzed in this dissertation. Through the multi-step qualitative approach, the dissertation contributes to a deeper understanding of how effective and context-sensitive digital inclusion interventions can be designed, implemented, and sustained for households facing economic disadvantage. <br/><br/>In conclusion, this dissertation offers insight into the complex dynamics of digital inclusion and poverty. The step-by-step, participatory approach —actively involving relevant stakeholders throughout the research process—proved essential in developing a nuanced understanding of these dynamics. The qualitative research led to the development of a digital inclusion intervention, which has been received very positively by participating parents. In addition, the connection between digital inequality and social inequality was strongly reflected. The SWOI intervention yielded positive outcomes, which were also reflected in the social and personal life domains. Parents demonstrated increased social bonding and self-confidence in using the internet. The ability to navigate and participate in the digital world has benefits that extend well beyond technology itself, enhancing overall social participation, empowerment, and well-being.

The article examines current trends in the development of artificial intelligence technologies and analyzes their practical application in the marketing activities of organizations. The relevance of the study is driven by the rapid development of digital technologies, the projected growth of the global AI market in marketing to USD 107.5 billion by 2028, and the need to adapt marketing strategies to new business conditions in the era of the Fourth Industrial Revolution. The aim of the article is to explore the current directions of artificial intelligence development and to systematize approaches to its application in organizations’ marketing activities. In the course of the research, methods of analysis and synthesis were used to study the theoretical foundations of artificial intelligence and marketing activities, the method of systematization was applied to organize AI tools according to marketing functional areas, comparative analysis was employed to identify the advantages and challenges of implementing AI technologies, the tabular method was used to visually present the results, and the generalization method was used to formulate conclusions. The information base consists of scientific works published in leading professional journals and analytical reports from consulting firms. The key areas of AI technology development have been identified: machine learning, deep learning, natural language processing, computer vision, and generative artificial intelligence. The advantages of using intelligent systems in marketing have been characterized: increasing targeting efficiency by 30–50%, boosting conversion by 15–30%, reducing content creation time by 60–80%, and lowering customer acquisition costs by 20–40%. A systematization of the main artificial intelligence tools was carried out across six functional areas of marketing: consumer analysis, personalization, content marketing, advertising campaigns, customer service, analytics, and forecasting. The prospects for further development of AI technologies in the context of marketing digitalization are substantiated: deeper integration of various technologies, development of Edge AI and federated learning, improvement of generative models, implementation of explainable AI, and development of agent systems. The practical significance of the results lies in their potential use for forming strategies to implement artificial intelligence in the marketing activities of organizations across different economic sectors and scales.

The purpose of the research is to reveal the factors influencing the attitudes of mainstream schoolteachers toward inclusive education process in Almaty. It analyzes teachers’ viewpoints and experiences contributing to the formation of their positive or negative attitudes toward inclusion.Methodology. This research presents the results of qualitative study. 25 teachers of 15 mainstream schools of Almaty city have participated in interviews. The data was codified by Atlas.ti software into several themes related to teachers’ attitudes, which then was attributed to factors.Originality / value of the research. Understanding the teachers’ attitudes and their feelings toward inclusive education will contribute to identify the acute problems in the inclusion process thus preventing negative outcomes of it from teachers’ part. Moreover, utilization of semi-structured interviews in the context of Kazakhstan helps to deeply explore the essence of teachers’ attitudes toward inclusive education.Findings. Six factors were identified as conceptual, social, technical, methodological and didactical, professional and media, that contributes for the formation of particular attitude of teachers. Findings showed more neutral and even negative attitude of teachers toward inclusion. They were more concerned with methodological/didactical and social factors in expressing their experiences with inclusive education process.

Objective: the objective of this article is to address the misalignment between the expectations of Artificial Intelligence (or just AI) systems and what they can currently deliver. Despite being a pervasive and cutting-edge technology present in various sectors, such as agriculture, industry, commerce, education, professional services, smart cities, and cyber defense, there exists a discrepancy between the results some people anticipate from AI and its current capabilities. This misalignment leads to two undesirable outcomes: Firstly, some individuals expect AI to achieve results beyond its current developmental stage, resulting in unrealistic demands. Secondly, there is dissatisfaction with AI's existing capabilities, even though they may be sufficient in many contexts.Methods: the article employs an analytical approach to tackle the misalignment issue, analyzing various market applications of AI and unveils their diversity, demonstrating that AI is not a homogeneous, singular concept. Instead, it encompasses a wide range of sector-specific applications, each serving distinct purposes, possessing inherent risks, and aiming for specific accuracy levels.Results: the primary finding presented in this article is that the misalignment between expectations and actual AI capabilities arises from the mistaken premise that AI systems should consistently achieve accuracy rates far surpassing human standards, regardless of the context. By delving into different market applications, the author advocates for evaluating AI's potential and accepted levels of accuracy and transparency in a context-dependent manner. The results highlight that each AI application should have different accuracy and transparency targets, tailored on a case-by-case basis. Consequently, AI systems can still be valuable and welcomed in various contexts, even if they offer accuracy or transparency rates lower or much lower than human standards.Scientific novelty: the scientific novelty of this article lies in challenging the widely held misconception that AI should always operate with superhuman accuracy and transparency in all scenarios. By unraveling the diversity of AI applications and their purposes, the author introduces a fresh perspective, emphasizing that expectations and evaluations should be contextualized and adapted to the specific use case of AI.Practical significance: the practical significance of this article lies in providing valuable guidance to stakeholders within the AI field, including regulators, developers, and customers. The article's realignment of expectations based on context fosters informed decision-making and promotes responsible AI development and implementation. It seeks to enhance the overall utilization and acceptance of AI technologies by promoting a realistic understanding of AI's capabilities and limitations in different contexts. By offering more comprehensive guidance, the article aims to support the establishment of robust regulatory frameworks and promote the responsible deployment of AI systems, contributing to the improvement of AI applications in diverse sectors. The author's call for fine-tuned expectations aims to prevent dissatisfaction arising from unrealistic demands and provide solid guidance for AI development and regulation.

This study aims to explore patient experiences with AI in healthcare settings, identifying their perceptions, concerns, and the perceived impact of AI on their care. The objective is to provide insights into patient attitudes towards AI, which can inform the development, implementation, and policy-making of AI technologies in healthcare. We conducted a qualitative study using semi-structured interviews with 26 participants who have interacted with AI-driven healthcare services. Participants were selected to represent a diverse range of ages, backgrounds, and experiences. Thematic analysis was employed to identify major themes and categories from the interview data, focusing on patient perceptions, experiences, and expectations of AI in healthcare. Five major themes emerged from the data: Understanding and Perceptions; Quality and Accessibility; Integration and Adaptation; Operational Challenges; and Patient Empowerment and Engagement. These themes encompassed various categories, including AI literacy, privacy concerns, care personalization, technical issues, and patient rights, among others. The findings highlight a general optimism about the potential of AI to improve healthcare outcomes, coupled with significant concerns about data privacy, ethical use, and the need for greater patient education and involvement in AI development. Patients perceive AI as a potentially transformative force in healthcare but underscore the importance of addressing ethical considerations, ensuring transparency, and enhancing patient engagement in the deployment of AI technologies. The study advocates for a patient-centered approach in the development and implementation of AI in healthcare to maximize its benefits while mitigating challenges.