The Impact Of Artificial Intelligence On Business & Social Values: Benefits, Challenges, And Future Directions ↔ Unveiling The Potential Of Ai: Impacts On Industries And Ethical Considerations

Copyright © 2024 by Author/s and Licensed by Kuey. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cite cited Educational Administration: Theory and Practice 2024, 30(6), 3174-3180 ISSN: 2148-2403 30(3), 2654 -2661 ISSN:2148-2403 https://kuey.net/ Research Article Unveiling The Impact Potential Of Artificial Intelligence Ai: Impacts On Business & Social Values: Benefits, Challenges, Industries And Future Directions Saghir Ahmad1*, Dr. S. Lara Priyadharshini2, Mohammed Shahadat Hosen3, Anita Ng4, Safiul Islam5, Jamel Ahmed Manik6 1*Deputy Director, Premier Research Center, Premier Law College, Gujranwala, Pakistan, Ethical Considerations Giuseppe Giorgianni1*, Muhammad Numan Ali2, Ikhlef Jebbor3, H M Atif Wafik4, Zoubida Benmamoun5, Khaoula Khlie6, S.K Md. Anik Hassan Rabby7, Salehin Mahbub8 1*President, Department of R&D, INNOVA, Italy, Email: pcic786@gmail.com 2Assistant info@giuseppegiorgianni.it 2Department of Electrical Engineering, Government College University, Faisalabad, Email: nomanali19855@gmail.com 3Ibn Tofail University, Morocco, Email: jebbor.ikhlef@uit.ac.ma 4Senior Assistant Professor, Department of Business Administration, Psgr Krishnammal College for Women, India, University of Scholars, Bangladesh, Email: larapriyadharshini@gmail.com 3Student, Gannon University, Dahlkemper School atif@ius.edu.bd 5Industrial Engineering, Faculte of Engineering, Liwa College, UAE, Email: zoubida.benmamoun@lc.ac.ae 20 6Industrial Engineering, Faculte of Business, USA, Email: Hosen001@gannon.edu , hosen.00369@gmail.com 4Graduate, Master of Arts in English for the Professions, Liwa College, UAE, Email Address: khaoula.khlie@lc.ac.ae 7Lecturer, Department of Faculty for the Humanities, The Hong Kong Polytechnic University, Hong Kong, Email: ng3927@gmail.com 5Student, Masters in Science in Business Analytics (MSBAN), Trine Management Studies, Bangladesh University of America, Professionals, Dhaka, Bangladesh, Email: saifullahbabbar3@gmail.com 6Graduate Scholar, anikhassanrabby@gmail.com 8Assistant Professor, Department of EEE, Daffodil International University, Textile Engineering, University of Scholars, Bangladesh, Email: jamilmanik11@gmail.com salehin@ius.edu.bd Citation: Saghir Ahmad et al. (2024) Giuseppe Giorgianni, et.al (2024), Unveiling The Impact Potential Of Artificial Intelligence Ai: Impacts On Business & Social Values: Benefits, Challenges, Industries And Future Directions, Ethical Considerations, Educational Administration: Theory and Practice, 30(6), 3174-3180 30(3), 2654 -2661 Doi: 10.53555/kuey.v30i6.6012 10.53555/kuey.v30i3.7484 ARTICLE INFO ABSTRACT AI, according to common belief, Background: Artificial Intelligence (AI) is an innovative instrument that can be utilized to improve widely regarded as a transformative tool capable of enhancing business processes, change altering societal relations, dynamics, and resolve the earth’s addressing sustainability challenges. This article examines different explores the diverse positive effects brought about by integrating artificial intelligence into these areas within their of AI integration across various sectors and the associated challenges. Objectives: To analyze the positive impacts of AI in social, economic, and technical contexts on the one hand contexts, and to identify the problems it poses on poses. the other. study aims to provide insights into how AI can optimize decision-making, improve processes, and drive innovation while addressing ethical and regulatory concerns. Methods: A comprehensive review of current literature and Data analysis enhances decision-making was conducted to examine the application of AI in various sectors. Anywhere today, whether it is necessary sectors, including healthcare, education, transportation, and public service delivery. The study also considers the potential negative consequences of AI, such as job displacement, ethical issues, and environmental impacts. Results: • AI has significantly improved decision-making and optimization in various sectors, leading to optimize or invent anything new like smarter supply chains or chains, more effective promotional campaigns, organizations are provided with required tools by AI, which comes in handy wherever there is a need for optimization or a new invention as smarter supply chain or effective promotion campaign creation among others. In addition to this incredible impact that better healthcare diagnostics, and safer transportation systems. • Despite these benefits, AI technology has had on each sector, some view it negatively seeing as though many people could lose jobs poses several challenges, including job loss due to automation offshoring automation, ethical concerns related to data privacy and algorithm bias, and environmental issues centralization power technological goliaths etcetera while alluding only positive side where through every field ranging from healthcare education transport public service delivery etcetera seem ripe for radical disruption through implementation of various AI applications Self better diagnosis group teaching safer cars peer teaching more effective diagnosis among others – these are just few examples how human life has been transformed by machines thinking faster than us But given that information gathering analysis involves personal data algorithm bias social division etcetera we now need enforceable regulation coupled with ethical conducts around sharing benefits arising from any artificially intelligent ship because otherwise there will always be winners and losers In addition potential diagnostics were introduced by ai together with optimization use foundation also climate modeling topped related environmental problems here therefore adoption would spark new ideas towards reducing human beings’ impact on earth However even so much consumed by ai itself technology remains environmentally unfriendly due mainly such as high energy consumption computations and electronic waste hence they should put up friendly systems in creating them along ecological best practices during its implementation stage Management On Business Application waste. Discussion: The integration Of AI At into business and Societal And Planetary Level Is Complex processes requires a balanced approach That Calls For An Integrated Approach To Managing It With Broader Cross Functional Stakeholder Involvement As Well Ongoing Ethical Evaluation Its business applications and impact at the societal and planetary level are multifaceted which calls for integrated management with extensive cross functional and involves cross-functional stakeholder engagement and ongoing ethical assessment. Thus, there are key foundational questions that have major implications for realizing the benefits of AI while avoiding the potential pitfalls: How can societies, evaluation. policymakers, industry, industry leaders, and civil society must collaborate to harness the opportunities that AI provides for the benefit of all the stakeholders and avoid falling prey to the AI's potential while mitigating its negative consequences. ? Finally, based on this paper's various opined premises and 3175 Saghir Ahmad et al. / Kuey, 30(6), 6012 conclusions, it is proposed that impacts. Conclusions: the advancement of AI welcomes further pursuit in the best interest of society by practicing offers significant opportunities for societal and economic improvement. However, responsible AI innovation and promoting an inclusive decision-making process toward an accountable processes are crucial to ensure that the benefits are widely shared and the risks are minimized. Future efforts should focus on promoting sustainable AI practices and addressing ethical and regulatory challenges to achieve a progressive and responsible future for all. KEYWORDS: Artificial Intelligence, business processes, societal impact, sustainability, ethical issues, regulatory concerns, decision-making optimization, stakeholder engagement. 2655 Giuseppe Giorgianni et.al /Kuey, 30(3), 7484 INTRODUCTION: The fourth industrial revolution is artificial intelligence (AI), the most important and influential form affecting various industries, societies, and the environment [1]. There has been enthusiasm and fear among stakeholders who want to understand what this means and its significance since it can change environments significantly through value creation [2][3][4][5][7][8, 9][10][11]. [2]. AI is already all around us [3]. However, we need to know how much it affects different economic levels and the environment to make informed decisions about its further development [4]. Incorporating AI in a business model takes traditional dynamics of doing business a notch higher with new efficiencies, cost savings, and strategic approaches that present never-before-seen opportunities [5]. These predictive analytics apply artificial intelligence-enabled automated systems to improve organizational functions for a better customer experience and competitive edge [6]. However, these advantages come at a cost; they can lead to the displacement of workers or raise ethical concerns and regulatory compliance with AI technologies has many components ranging from employment laws to prevent job losses through disintermediation – as well as ensuring privacy protection etc [7]. Therefore it changes not only the business world but also everything else around us such as how we communicate to problem-solving methods mostly because of advanced artificial intelligence technologies applied within health care, education, transportation, public service sectors and so on where disruptions caused by these innovations continue to be felt more deeply regardless their potential towards increasing human experience enrichment hence general social issues except some considerations about privacy rights fair algorithms enforcement social justice fairness equality and some other things that imply some responsible innovation thinking in terms of ethics frameworks policies with regard to equal treatment among all actors involved [8, 9]. After being exposed to environmental tasks one after another, humans are now living in a time when machines can either save them all or destroy them entirely because some argue that certain applications based on this technology might help optimize the allocation of resources [10]. In contrast, others claim such may cause excessive consumption, leading to overexploitation of natural resources, thus producing more harm than good apart from posing threats like early warnings concerning catastrophes associated with climate change, factoring energy consumed during computation itself plus manufacturing electronic gadgets, etc [11]. Which would otherwise affect ecosystems adversely for their sustainability generally. Thus, This paper seeks answers concerning what artificial intelligence systems bring into various spheres of human activity due to their multifaceted nature [12]. In the subsequent paragraphs, this paper re-looks at AI’s positive impacts discourse and the challenges it is causing; then moves on to turning futures with AI and also the thinking of them proactively [13]. This paper advocates for a future where technological progress will be complemented by integration between human creativities and its constitutive parts as well as other humane creativities such that further social-economic socialeconomic advancements should not take place without involving both factors in terms of meaningful knowledge transfer across generations like knowledge contained herein including those associated with machine literacy should be transformed into an action-oriented approach to improving societies [14].

Table 1: Clarity on "The Impact of Artificial Intelligence in Business & Society/Environment” I. Introduction A. Knowledge Gaps B. Questions Raised II. Benefits III. Challenges IV. Future Direction Section Description Introduction Artificial Intelligence (AI) revolutionizes industries, societies, and environmental landscapes, presenting unprecedented opportunities and challenges. Context Understanding AI's impact on business, society, and the environment is crucial for informed decisionmaking decision-making and sustainable development in the digital age. Business Impact AI enhances business operations through efficiency gains, cost reductions, and strategic insights but raises concerns about job displacement and ethical considerations. Societal Influence AI transforms healthcare, education, transportation, and public services, promising quality of life improvements but posing ethical dilemmas and exacerbating social inequalities. Environmental Implications AI offers solutions for environmental challenges such as resource management and climate mitigation, yet its environmental footprint raises concerns about sustainability and ecosystem impacts. Purpose This paper aims to explore AI's multifaceted impacts on business, society, and the environment, examining benefits, challenges, and future directions to foster a holistic understanding of AI's role in shaping the future. Approach We can harness AI's transformative power to build a more prosperous, equitable, and sustainable world through interdisciplinary dialogue, stakeholder collaboration, and responsible innovation.

METHOD: To guarantee that the results are accurate and dependable, this study will use a mixed-method approach, which includes both qualitative and quantitative methods for investigating the impacts of artificial intelligence on business, society, and the environment. The research design will have the following components: The research design will have the following components: 2656 7484 ), 3 ( 30 Kuey, / et.al Giuseppe Giorgianni 1. Literature Review: o Ensure that the following scholarly databases, journals, and other academic sources are queried for the latest pertinent literature on the subject of AI in different domains: o Examine the successes and opportunities of AI, as well as AI's problems, pitfalls, and prospects for creating positive change in the business world and beyond. 2. Case Studies: o Choose specific examples of how AI has been implemented in various spheres of life and different types of businesses to support the discussion of possible future developments. o Do case studies comparing and contrasting the strengths and obstacles of AI or explore the success factors, challenges, and ethical issues related to each to demonstrate usable knowledge of the value and consequences of using artificial intelligence. 3. Stakeholder Interviews: o Consult key individuals in the industries, policymakers, scholars, and special interest groups such as nongovernmental non- governmental organizations (NGOs) to understand the various perspectives of AI. o Identify and discuss stakeholders’ best practices, including their application of AI, perceptions and attitudes to this technology and its impact on the organization, legal issues arising from using AI in business, and possible future trends in its application. 4. Surveys and Data Analysis: o Create questionnaires, polls, or questionnaires to accumulate quantitative information about the perception, attitude, and experience of AI in organizations and society, as well as the effect of AI on business, society, and the environment.

3176 6012 / Kuey, 30(6), et al. Saghir Ahmad o Embarking on the analysis of survey responses and thus determining the association and relationship between the variables, following statistical analysis and probability in the study. 5. Ethical Considerations: o Be ethical in the conduct of the whole research by observing the do’s and don’ts of research involving humans, such as obtaining permission from human subjects, respecting their privacy, and adhering to the required ethical conduct of research. o When interpreting the results or discussing its insights, it is necessary to consider the ethical components of AI technologies, which may concern privacy infringement, possible bias or unfairness of AI, the accountability of such systems, and the overall societal implications of incorporating these technologies into everyday use. 6. Integration and Synthesis: o Synthesize literature, case study, studies, additional primary research data and data collected from interviews and surveys with stakeholders, and secondary data analysis for a better understanding of AI’s continuity, opportunities, risks, and implications for business, society, and the environment. o Summarize the findings, locate the main ideas, and explain the practical applications and repercussions concerning practice, policy, and research suggestions. Therefore, this study set two research questions to achieve its objectives: The first is an exploratory form of research that asks, “What impact does AI have on various industries and people, and how?” The second is an applied form of research that asks, “How might various industries and people benefit optimally from AI without compromising their values and integrity?” To this end, the study adopted a multisource, mixedmethods design with a qualitative andTable and Table 2: Methodological Components Methodological Component Description Literature Review An extensive review of academic literature, industry reports, and reputable sources to gather insights on AI's impact on business, society, and the environment. Case Studies Selection of representative case studies to illustrate real-world applications of AI and analyze success factors, challenges, and ethical considerations. Stakeholder Interviews Interviews with key stakeholders to capture diverse perspectives on AI adoption, ethical dilemmas, regulatory frameworks, and potential future trajectories. Surveys and Data Analysis Designing surveys to gather quantitative data on perceptions, attitudes, and experiences related to AI adoption and conducting data analysis to derive actionable insights Ethical Considerations Ensuring ethical integrity throughout the research process, including obtaining informed consent, protecting confidentiality, and considering the ethical implications of AI technologies. 2657 Giuseppe Giorgianni et.al /Kuey, 30(3), 7484 Table 3: Research Steps Step Description Literature Review Conducting an extensive review of academic literature, industry reports, and reputable sources to gather insights on AI's impact. Case Selection Selecting representative case studies from diverse industries and societal contexts to illustrate real-world applications of AI. Stakeholder Recruitment Identifying and recruiting key stakeholders, including industry experts, policymakers, academics, and NGO representatives, for interviews. Survey Design Designing surveys to gather quantitative data on perceptions, attitudes, and experiences related to AI adoption and its impact. Data Collection Data will be collected through a literature review, case studies, stakeholder interviews, and surveys to gather insights on AI's impact. Data Analysis Analyzing qualitative and quantitative data using statistical methods and thematic analysis to derive key insights and identify common themes. Integration Integrating findings from different sources, such as literature reviews, case studies, interviews, and surveys, to develop a comprehensive understanding. Synthesis synthesizing key insights and implications for practice, policy, and future research directions based on the integrated findings.

These tables provide a structured overview of the methodological components and research steps involved in investigating the impact of artificial intelligence on various aspects of society and the environment.

RESULT: The study on the effectiveness of artificial intelligence (AI) on businesses, citizens, and the earth is quite insightful since it shows the benefits, downsides, and future potential of artificial intelligence in businesses, citizens, and the environment [15]. The comprehensive approach adopted here encompasses a literature review, case studies, primary stakeholder interviews and surveys of a sample of the population, and data analysis, and the following broad themes are identified: There are improvements in efficiency, reduction in costs, and leads to the formulation of new strategies when the use of AI is employed in business. From more efficient supply chain management to sharpened focus on the customer, companies stand to benefit from paradigms powered by AI [16]. Three substantial issues that converge with AI in organizations are workforce 3177 Saghir Ahmad et al. / Kuey, 30(6), 6012 displacement, ethical considerations, and regulatory issues. Fears of losing jobs, a chance to be discriminated against by algorithms, and personal data protection aim to be examined and addressed preemptively [17, 18]. Corporations must embrace intelligent automation as a responsible investment area and govern it legally and ethically while developing AI capabilities among their personnel. Therefore, incorporating AI as an enhancement tool for human efforts, popular representation in the AI development teams, and accuracy when programming the AI algorithms would go a long way in satisfying the tests of fairness and sustainability in business approaches [19]. AI in healthcare, education, transportation, and service sectors may help deliver superior quality products and services, as well as time efficiency and convenience. There are various outcomes AI has brought to society, including better health diagnosis, personalized education, and self-driving cars [20]. Two very real hurdles to AI’s success are ethical dilemmas such as data privacy, bias, and social justice in AI applications. The challenges of making artificial intelligence technologies safe, free for everyone, and with fewer or no biases on the algorithms besides free and protected personal data need to be met to create societies and governments guided by responsibility and fairness. What we are left with is the proactive and transformative roles of the future of AI in society, which require the integration of multi-disciplinary professions, player involvement, and ethical governance. The government must develop policies about AI usage, engage the public in discussions about the appropriate use of AI, and inform the public on how to use AI correctly. We must look at how AI can propose new methods to counter environmental issues ranging from resource management to climate prediction, endangered species preservation, and other related concerns. In conjunction with autonomous control systems, big data analytics in association with Machine learning algorithms will increase sustainability and performance during environmental calamities. The sustainability and general concern for the effects of AI on ecosystems have been an issue of discussion because of the computation power required and the electronic waste associated with it. Reducing the carbon emission of AI, encouraging algorithms that reduce energy consumption, and designing environmentally friendly systems are some ways we can reduce the environmental impact of AI. To explore the future of AI in environmental sustainability, it is crucial to identify sustainable improvement, the circular economy approach, and sustainable consumption. The three measures needed to incorporate environmental thinking into AI work, organize cooperation between AI professionals and environmentalists, and utilize AI for sustainable development are essential for achieving the untapped potential of AI as a tool for ecological responsibility. In summary, the analysis confirms the positive impact of AI as a transformative force at the level of businesses, organizations, individuals, and the environment. But, it must be noted that to reap the optimum benefits of AI and at the same time avoid or minimize the potential threats, the government, industries, technology users, civil society, and academia have to come up with serious strategies and work together to ensure proper, fair and sustainable an AI use. Through Ethical AI, effective 2658 7484 ), 3 ( 30 Kuey, / et.al Giuseppe Giorgianni collaboration, and human augmentation, it is possible to promote justice and grow AI that offers a better, sustainable future.

Table 4: Business Impact Aspect Findings Benefits Significant efficiency gains, cost reductions, and strategic insights across industries. - Optimization of supply chains and personalized customer experiences. Challenges Workforce displacement, ethical dilemmas, and regulatory complexities. - Concerns regarding job loss, algorithmic bias, and data privacy. Future direction Responsible innovation, ethical governance, and skill development. - Embracing AI to complement human labor labour and fostering diversity in AI development teams.

Table 5: Societal Influence Aspect Findings Benefits Improvements in healthcare, education, transportation, and public services. - Enhanced diagnostic accuracy, personalized learning experiences, and autonomous vehicles. Challenges Ethical concerns regarding data privacy, algorithmic bias, and social inequality. - Ensuring equitable access to AI technologies and safeguarding against misuse of personal data. Future direction Interdisciplinary collaboration, stakeholder engagement, and ethical oversight. - Developing regulatory frameworks, promoting digital literacy, and fostering public dialogue on AI ethics.

Table 6: Environmental Implications Aspect Findings Benefits Innovative approaches to addressing environmental challenges. - Predictive analytics, optimization algorithms, and autonomous systems for sustainability and resilience. Challenges Environmental footprint of AI, including energy-intensive computations and electronic waste. - Necessity for mitigating the carbon footprint and promoting eco-friendly design principles. Future direction Sustainable innovation, circular economy principles, and responsible consumption. Integrating environmental considerations into AI development and leveraging AI for sustainable development goals.

These tables provide a structured overview of the findings related to artificial intelligence's impact on business, society, and the environment, highlighting each domain's benefits, challenges, and future directions.

3178 6012 / Kuey, 30(6), et al. Saghir Ahmad DISCUSSIONS: 2659 Giuseppe Giorgianni et.al /Kuey, 30(3), 7484 DISCUSSION: The conclusions drawn from the AI investigation, even regarding business, social, and environmental consequences and benefits, lead to a symmetrical reflection about the possibilities and risks that arise from an AI integration.

As AI automates and controls processes, some people argue it will lead to increased productivity. Still, at the same time, the rate of unemployment will also increase. Mitigating the implications entails crafting long-term models that harness AI to rebalance workers’ loss, offering training programs that enable the workers to acquire relevant skills for the job market, and promoting inclusive development that sees AI functions disseminate the benefits of the same across society. Engagement of AI in environmental sustainability is a paradoxical consideration, as on the one hand, there exists the ability of AI’s optimization of tools and technologies useful for environmental protection; on the other hand, the adoption of advanced technologies can have negative implications on the environment. The field of AI, as an approach for improving the Studies included in review (n =27 ) Identification of studies via databases and registers Identification Screening Include 2660 7484 ), 3 ( 30 Kuey, / et.al Giuseppe Giorgianni utilization of resources and as a tool for participating in climate change actions, has its downside regarding global and sustainable environmental impact. Since the creation and operation of artificial intelligence depend on power, there is a need for radical changes in device design and computer language with environmentally friendly image and efficiency algorithms, as well as abreast consumerism. Environmental issues must be factors in AI development and applications, as the environmental footprints of AI systems must be reduced to preserve natural resources and support sustainability initiatives. Moreover, it is crucial to address the relationships between AI and responsible business and innovations and AI and sustainable living environments in the future. Promoting a culture of ethical approach in the development of technologies, integrating efforts from diverse fields, and focusing on the careful creation and design of AI aligned with human values are the major principles of approaching the future of AI. Future researchers should aim to explain any overlooked aspects, improve ethical theories, and find more applications of AI for the benefit of people and the protection of the earth. With the righteous use of AI in its capacity, the world will be a better place, with higher proportions of justice, fairness, and more sustainability for all. In summary, the discussion makes it evident that a more balanced implementation of AI should be the general norm; an implementation that will observe the ethical implications, especially for the people involved, will enhance a sustainable development approach to decision-making. In this way, we can ensure that the positive effects that AI can produce in terms of social change and preserving the environment will be used to face the challenges posed by the digital era and change the world for the better for future generations.

Studies included in review (n =27 ) Identification of studies via databases and registers Identification Screening Includ 3179 Saghir Ahmad et al. / Kuey, 30(6), 6012 CONCLUSION: This paper seeks to explain the implications that artificial intelligence (AI) will bring to business, society, and the environment to understand the transformation that comes with technology integration and future difficulties. As the following discussions on current benefits, future challenges, benefits, and futures that must be enshrined, and potential directions for further enhancements and developments argue, it is possible to draw several conclusions. AI is the most exciting and promising trend for business today as it provides extraordinary possibilities for process optimization, product development, and becoming a market leader. In society, it is worth mentioning that artificially intelligent solutions can positively affect healthcare, education, transportation, and utilities. Also, AI provides appealing solutions to environmental issues and possibilities to promote sustainability. It is significant to acknowledge that ethical aspects play a critical role in addressing the challenges of AI ethics and its impact on society. There is nothing wrong with AI systems themselves, per se. Still, stakeholders have to ensure that these created systems are transparent, accountable, and fair in the manner that they are used to prevent or eliminate bias and infringement of privacy or equality, especially in labor labour markets. Implementing an effective regulatory framework and good governance are critical for achieving the desired goals and objectives of the new technologies and curbing the emergence of new risks connected with them. Governments and political leaders should seek cooperation with representatives of companies and industries, civil society, and academics to set up sound legal frameworks to govern the responsible application of artificial intelligence and safeguard societal values. Reducing the negative effects of AI on socio-economic life entails early and concrete steps to address the problems of unemployment arising from the adoption of technology, rising socio-economic inequality, and escalation of the digital divide. To help AI extend its benefits across various sectors and populations and mitigate potential risks to employment, it is necessary to focus on reskilling and upskilling efforts, offering targeted support to displaced workers, and promoting inclusive growth strategies. For this reason, the sustainability of AI development is important because it would reduce AI's impact on the environment and enhance environmental sustainability. Recycling, efficiency, and sustainability principles introduced in the design of AI, algorithms with low power consumption, and AI device usage with the lowest energy consumption should act to reduce the necessity for natural resources in the future. Solving the multifaceted challenges related to AI comprises the participation of multiple stakeholders across industries. As this paper illustrates, the vision of AI’s future calls for promoting responsible innovation, interdisciplinary collaboration, and a humanistic approach to developing transformative AI solutions for creating a more prosperous, equitable, and sustainable future. Therefore, if implemented within the AI framework, short/long-term AI applications offer a new approach to solving societal issues, creating economic value, and preserving the environment. Thus, with greater emphasis on ethical concerns, namely, diverse participation in decision-making processes and preservation of humanity through technology, there is potential to develop trustworthy AI for human benefit.

REFERENCE. REFERENCE: 1. Kar, A.K., S.K. Choudhary, and V.K. Singh, How can artificial intelligence impact sustainability: A systematic literature review. Journal of Cleaner Production, 2022. 376: p. 134120. 2. Yigitcanlar, T., R. Mehmood, and J.M. Corchado, Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures. Sustainability, 2021. 13(16): p. 8952. 3. Yigitcanlar, T. and F. Cugurullo, The sustainability of artificial intelligence: An urbanistic viewpoint from the lens of smart and sustainable cities. Sustainability, 2020. 12(20): p. 8548. 2661 Giuseppe Giorgianni et.al /Kuey, 30(3), 7484 4. Yigitcanlar, T., et al., Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature. Energies, 2020. 13(6): p. 1473. 5. Palomares, I., et al., A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: Progress and prospects. Applied Intelligence, 2021. 51: p. 6497- 6527. 6497-6527. 6. Sanchez, D.O.M. Corporate social responsibility challenges and risks of industry 4.0 technologies: a review. in Smart SysTech 2019; a European conference on smart objects, systems and technologies. 2019. VDE. 7. Kulkarni, A.V., S. Joseph, and K.P. Patil, Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations. International Journal of Information Management Data Insights, 2024. 4(2): p. 100250. 8. Govindan, K., How artificial intelligence drives sustainable frugal innovation: A multitheoretical multi-theoretical perspective. IEEE Transactions on Engineering Management, 2022. 9. Aldabbas, M., et al. Future security challenges for smart societies: Overview from technical and societal perspectives. in 2020 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE). 2020. IEEE. 10. Dwivedi, Y.K., et al., “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 2023. 71: p. 102642.

3180 6012 / Kuey, 30(6), et al. Saghir Ahmad 11. Gupta, S., et al., Assessing whether artificial intelligence is an enabler or an inhibitor of sustainability at the indicator level. Transportation Engineering, 2021. 4: p. 100064. 12. Seele, P. and M.D. Schultz, From greenwashing to machinewashing: a model and future directions derived from reasoning by analogy. Journal of Business Ethics, 2022. 178(4): p. 1063-1089. 13. Kumari, N. and S. Pandey, Application of artificial intelligence in environmental sustainability and climate change, in Visualization techniques for climate change with machine learning and artificial intelligence. 2023, Elsevier. p. 293-316. 14. Farahani, M.S., et al., The impact of Fintech and artificial intelligence on COVID 19 COVID-19 and sustainable development goals. International Journal of Innovation in Management, Economics and Social Sciences, 2022. 2(3): p. 14-31. 15. Dorotic, M., E. Stagno, and L. Warlop, AI on the street: Context-dependent responses to artificial intelligence. International Journal of Research in Marketing, 2024. 41(1): p. 113-137. 16. Walz, A. and K. Firth-Butterfield, Implementing ethics into artificial intelligence: A contribution, from a legal perspective, perspective to the development of an AI governance regime. Duke L. & Tech. Rev., 2019. 18: p. 176. 17. Yigitcanlar, T., et al., Can building build “artificially intelligent cities” safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar’s perspective. Sensors, 2020. 20(10): p. 2988. 18. Weber-Lewerenz, B.C. and M. Traverso. Navigating Applied Artificial Intelligence (AI) in the Digital Era: How Smart Buildings and Smart Cities Become the Key to Sustainability. in Artificial Intelligence and Applications. 2023. 19. Juma, M. and K. Shaalan, Cyberphysical systems in the smart city: Challenges and future trends for strategic research, in Swarm intelligence for resource management in the Internet of things. 2020, Elsevier. p. 65-85. 20. Aleksandrovna, I.E., Artificial intelligence as an instrument for sustaianable sustainable development (the case of PJSC Magnit). 2021.