EXAMINING THE AI ANXIETY LEVELS OF AVIATION EMPLOYEES BASED ON DEMOGRAPHIC VARIABLES

Advances in Artificial Intelligence (AI) technologies and Autonomous Unmanned Vehicles are shaping our daily lives, society, and will continue to transform how we will fight future wars. Advances in AI technologies have fueled an explosion of interest in the military and political domain. As AI technologies evolve, there will be increased reliance on these systems to maintain global security. For the individual and society, AI presents challenges related to surveillance, personal freedom, and privacy. For the military, we will need to exploit advances in AI technologies to support the warfighter and ensure global security. The integration of AI technologies in the battlespace presents advantages, costs, and risks in the future battlespace. This chapter will examine the issues related to advances in AI technologies, as we examine the benefits, costs, and risks associated with integrating AI and autonomous systems in society and in the future battlespace.

The continuous goal of discovering extraterrestrial life has driven scientific interest in exoplanets—celestial bodies orbiting stars outside our solar system. Traditional methods of exoplanet detection, reliant on manual analysis and prone to human error, presented unavoidable challenges given the vastness of the universe. This paper aims to discuss the benefits and limitations of AI within the exoplanet detection field, and determine whether the highly-regarded artificial intelligence is as beneficial to astronomical fields as we think. With the introduction of the first ever fully-robotic exoplanet detector which takes high-precision radial velocity measurements to measure the gravitational reflex motion, and advancing computer algorithms that avoid human errors in data analysis, modern advancements in artificial intelligence (AI) technology have not only transformed the efficiency and accuracy of exoplanet detection, but also extended our understanding of these distant worlds. While the use of AI does have its benefits, there are several drawbacks that could potentially hinder further advancement in the field of exoplanet detection.

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

While most contemporary researchers argue that Artificial Intelligence (AI) provides overwhelming and profound advancements in technology and beneficial tools used daily to advance human life on earth, there exist a host of other researchers who hold contrary opinions to this view, with regard to the rising adverse ontological and existential consequences which the products of super-intelligent technologies has on an alarming number of mankind in the 21st century. Scholars like Vardi, Tegmark and Greene likened this scenario to a time-bomb waiting to go off any moment. The recent endorsement of 23 AI principles by 1200 AI/Robotics researchers and over 2342 other researchers from diverse disciplines, in a just concluded Future of Life (FLI) Conference, adds credence to the worries which most researchers have about the presumed benefits of AI to mankind. The study draws from a combination of Marxian Alienation and ontological theories which basically holds that: rising advancements in AI technologies, continues to alienate mankind from his existential human nature. The ex-post facto research design in the social sciences and Deriders' deconstructive and critical reconstructive analytic method in philosophy, for interrogating the meaning of concepts, arguments and current debates on the relevance and risks of IA, were adopted for the study. The study identified justifiable grounds and reasons for the alarm raised over current innovations in the field of AI technologies. The study strengthen the resolve of current researchers to identify ways of reducing or avoiding the impending adverse consequences of evolving conscious AI and machines in the feature. The research proposes a radical legal enforcement and adoption of the 23 newly established AI principles as one of the pertinent measure for saving mankind from the impending threats posed by innovations powered by advances in AI technology.

The rapid development and adoption of artificial intelligence (AI) technology has sparked debates about its implications for labor markets, yet the micro-level relationship between AI and labor share remains underexplored. Based on the theory of skill-biased technological change, this study aims to examine whether AI technology increases labor share by labor structure upgrading at the enterprise level. Using panel data for China’s listed companies from 2012 to 2022, this study tests this relationship using a two-way fixed effects model. The empirical results reveal that AI technology significantly increases labor share, with labor structure upgrading playing a mediating role in this relationship. Heterogeneity analysis reveals that the influence of AI technology on labor share is stronger for enterprises characterized by low labor market rigidity, high labor market supply, and talent policy support in external environments, as well as among labor-intensive, high-tech, and non-state-owned enterprises. Notably, this study finds that advancements in AI technology have achieved mutually beneficial outcomes of improving labor share and enhancing total factor productivity. Our research findings provide detailed empirical evidence for enterprises to formulate and implement AI strategies.

ChatGPT and other artificial intelligence applications speed up scientific writing.

The development of artificial intelligence (AI) technology has become a major catalyst for digital transformation in Indonesia. However, the accelerated adoption of AI has not been matched by regulatory readiness, especially in the legal and cybersecurity aspects. The national legal framework is still sectoral and has not been able to address the complexity of risks from AI systems implemented in various public and private sectors. This research aims to: (1) identify regulatory weaknesses in monitoring the use of AI in Indonesia; (2) formulate an integrative legal framework between AI regulation and cyber law that is adaptive to technological developments; and (3) provide policy recommendations based on international practices. This research method uses a normative-empirical legal approach with a combination of documentation studies, comparative analysis of international regulations, and semi-structured interviews with experts. The results show that Indonesia experiences significant regulatory gaps, particularly in the application of the principles of transparency, accountability, and AI risk management. Compared to the European Union and the United States, AI regulations in Indonesia are still at the declarative stage without adequate enforcement mechanisms. This study recommends the establishment of a risk-based national legal framework accompanied by the strengthening of independent oversight institutions, AI technical standards, and multi-stakeholder involvement in the regulatory process. These findings are expected to serve as the basis for the development of legal policies that are more adaptive, responsive, and secure to advances in AI technology and the dynamics of cyber threats in Indonesia.

The rapid evolution of the energy sector is significantly influenced by the integration of Artificial Intelligence (AI) technologies. This paper reviews the work in the areas of AI applications in energy trading platforms, focusing on three broad domains. Firstly, the energy industry is undergoing a transformative phase, where AI-driven digitalization is optimizing energy supply, trade, and consumption. Emphasis is laid on AI’s role in integrating solar and hydrogen power generation, supply-demand management, and the latest advancements in AI technology. These techniques have shown superior performance in areas like big data handling, cyberattack prevention, and energy efficiency optimization. Secondly, the manufacturing sector is witnessing a shift towards smart factories, where AI is enhancing value-added manufacturing by integrating various information communication technologies. The characteristics of these factories include operations optimization and intelligent decision-making, with AI technologies enabling systems to adapt to external needs. Lastly, while AI promises transformative changes in the energy sector, it also brings forth challenges. A multidisciplinary approach identifies these challenges, offering insights and recommendations for successful AI integration in the energy sector.

Fruits and vegetables preservation based on AI technology: Research progress and application prospects

<p>Governance plays a critical role in advancing Industry 4.0 technologies by enhancing collaboration between industry and academia. This joint relationship significantly accelerates the development of artificial intelligence (AI) technologies, improves research quality, and strengthens scientific and technical capabilities. The primary objective of this research is to investigate the impact of advancements in AI technologies on strengthening the relationships between industry and universities. By conducting a qualitative analysis of governance practices in technology development across various countries, this study delves deeply into the dynamics of this relationship. The findings indicate that AI serves a pivotal role in enhancing research capabilities, introducing innovative technologies, promoting collaboration, facilitating technology transfer, and driving innovation, competitive advantage, and sustainable progress in industries. Furthermore, the study focuses on governance strategies related to AI within the context of industry-academia collaboration, including the formation of joint committees, initiation of collaborative research projects, facilitation of technology transfer, and establishment of shared platforms for education and research in AI and related fields. These aspects are meticulously examined within the framework of human capital development and knowledge-based economic growth, underscoring the importance of effective governance structures in leveraging AI advancements to strengthen industry-academia partnerships and stimulate technological innovation.</p>

Artificial intelligence (AI) stands at the forefront of modern scientific innovation. It has revolutionized our understanding of the world around us and its effects on Zoology also called as animal science have been profound. With continued advancements in AI technology, new opportunities to explore the unknown will continue to arise offering us unprecedented insight into this fascinating field. AI technology offers immense potential for animal scientists to improve their work. Automated tracking and predictive analytics allow data analysis on an unprecedented scale, enabling greater insight into complex biological systems than ever before. This can lead to improved animal welfare through better resource optimization, as well as more informed decision making in conservation efforts. AI also helps to reduce the workload of researchers by automating mundane tasks that would otherwise take a long time to complete. The good news is that it’s unlikely that AI will completely replace animal scientists any time soon; however, certain roles within the field may become automated by technology over time. So while it’s important to pay attention to advances in AI technology, it’s also possible to use them for advantage and secure the place in the workforce of tomorrow. Moreover, this technology continues to evolve, so too will its impact on our lives and careers.

Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.

This year has seen an unprecedented worldwide pandemic that has been brought on by the rise of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which results in COVID-19 (coronavirus 2019) infections. COVID-19 has impacted every aspect of our lives and has required the world to rapidly mobilize to address all aspects of diagnosis and treatment of this disease. COVID-19 has brought to light the challenges of managing a completely novel infectious disease with existing diagnostics and therapeutics that were insufficient to stem the spread of COVID-19. Thus, the resources allotted toward research and development and the global cooperation of governments, scientists, and clinicians to address COVID-19 required a pace of innovation in healthcare that has never before been observed in order to address this new disease. As a result of this effort, innovations in technology to better understand, detect, and treat COVID-19 continue to be reported every day. Here at SLAS Technology, we felt it was important to highlight these advances in technology that have been made to better address all aspects of COVID-19 detection and treatment. We present here a special issue that reports how technology has been used to address COVID-19. The spread of COVID-19 across the world has shown that any hope for effective control of COVID-19 infection in the community requires the development of rapid and accurate methods for detecting COVID-19 infections. Applying existing and emerging viral detection technologies toward better COVID-19 diagnostics has resulted in incredible advances in pathogen detection innovations. Miniaturization assays that allowed for the accurate analysis and detection of SARS-CoV-2 viral nucleic acid detection or host antibody response to COVID-19 have proven to be critical.1Zhu N. Wong P.K. Advances in Viral Diagnostic Technologies for Combating COVID-19 and Future Pandemics.SLAS Technol. 2020; 25: 513-521Google Scholar, 2Tan A.S. Nerurkar S.N. Tan W.C.C. et al.The Virological, Immunological, and Imaging Approaches for COVID-19 Diagnosis and Research.SLAS Technol. 2020; 25: 522-544Google Scholar, 3Karp D.G. Cuda D. Tandel D. et al.Sensitive and Specific Detection of SARS-CoV-2 Antibodies Using a High-Throughput, Fully Automated Liquid-Handling Robotic System.SLAS Technol. 2020; 25: 545-552Google Scholar While diagnostics initially required clinical laboratory tests, these technological advances have proven critical for field testing in the community or in less well-equipped remote diagnostic testing sites. In addition to advances in detecting COVID-19 infections, leveraging technology to better understand COVID-19 disease progression and immune response is critical to developing better therapies to combat this pandemic. As a result, the molecular mechanisms of COVID-19 infection, as well as an understanding of the critical immune responses and overall biological responses to COVID-19, have been uncovered in an amazingly short amount of time. Much of this has been a result of the use of critical technologies such as single-cell analysis technologies and advances in mass cytometry.2Tan A.S. Nerurkar S.N. Tan W.C.C. et al.The Virological, Immunological, and Imaging Approaches for COVID-19 Diagnosis and Research.SLAS Technol. 2020; 25: 522-544Google Scholar The last few years have seen a paradigm shift in the development and application of artificial intelligence (AI). This has been particularly true for life sciences and biomedical applications. In order to better understand and address COVID-19, AI has played a huge role in improving detection and therapeutic drug development. Of particular importance has been the development of multiple AI-based approaches toward improving COVID-19 detection through standard chest x-ray images.4Sekeroglu B. Ozsahin I. Detection of COVID-19 from Chest X-Ray Images Using Convolutional Neural Networks.SLAS Technol. 2020; 25: 553-565Google Scholar,5Echtioui A. Zouch W. Ghorbel M. et al.Detection Methods of COVID-19.SLAS Technol. 2020; 25: 566-572Google Scholar Applying AI toward COVID-19 diagnostics through existing standard medical imaging allows for more rapid diagnosis through telemedicine and automated tools. As AI begins to pervade every aspect of medicine, it is inevitable that advances in AI technology will be important to overcoming this pandemic. It is now clear that COVID-19 is a unique infection that affects a wide range of biological systems. One of the most affected systems has been pulmonary function. The ability to treat COVID-19 patients has often required the use of ventilators, and the lack of sufficient ventilators has been linked to poorer outcomes. The paucity of ventilators available in comparison to COVID-19 infection rates led to a number of advances in ventilator technology to increase their production speed and portability while lowering their cost.6Fang Z. Li A.I. Wang H. et al.Ambubox: A Fast-Deployable Low-Cost Ventilator for COVID-19 Emergent Care.SLAS Technol. 2020; 25: 573-584Google Scholar These advances allow patients additional time to fight off infection as well as allow emerging therapies to work. This pandemic has adversely affected the lives of so many people in so many ways. But, it has also shown that when the global community comes together to collectively address a singular problem, amazing innovations in technology can happen that provide hope for a better future after the pandemic.

21st century has witnessed a profound metamorphosis in human civilization, primarily driven by the confluence of advanced network technologies and industrial modernization. This transformative period has expanded our understanding of the world, paving the way for innovative concepts such as the “smart city”. At its essence, a smart city harnesses the power of artificial intelligence (AI) to revolutionize urban living, presenting a paradigm shift towards more efficient service models and an elevated standard of living for its inhabitants. Integrating AI into the fabric of urban infrastructure marks a monumental leap in societal evolution, underscoring the imperative to cultivate and advance AI technologies. This paper endeavors to elucidate the multifaceted applications of AI within the domains of smart cities, illuminating its pivotal role in shaping and advancing our contemporary era. From intelligent transportation systems and energy management to public safety and healthcare, AI permeates various aspects of urban life, ushering in unprecedented efficiencies and novel solutions to age-old challenges. The symbiotic relationship between AI and smart cities is explored in detail, showcasing how AI technologies are instrumental in optimizing resource allocation, improving decision-making processes, and ultimately enhancing the overall quality of life. Furthermore, this paper delves into the imperative of fostering the development and advancement of AI technologies within the context of smart cities. It underscores the interconnectedness of technological progress and urban development, emphasizing how a concerted effort to cultivate AI capabilities can propel cities into a future marked by sustainable growth, resilience, and innovation. The exploration of challenges and opportunities in deploying AI within urban environments adds a critical dimension to the discourse, encouraging a balanced consideration of ethical, regulatory, and societal implications. In conclusion, this paper seeks to contribute to the ongoing dialogue surrounding smart cities and the transformative impact of AI. By shedding light on the diverse applications of AI within urban landscapes and emphasizing its pivotal role in shaping the trajectory of our era, it underscores the critical importance of advancing AI technology development for the continued progress of smart cities and, by extension, the broader global community.

This paper explores the application of artificial intelligence (AI) in mitigating the effects of global warming, which stands as one of the most pressing and complex challenges of our time. The purpose of this research is to examine how various AI technologies, including machine learning, neural networks, and big data analytics, can be leveraged to enhance climate modeling, optimize energy systems, improve agricultural practices, and support carbon capture and storage efforts. By conducting a comprehensive literature review, this paper aims to highlight current advancements, practical applications, and relevant case studies that demonstrate the potential of AI to reduce greenhouse gas emissions and promote sustainable practices across different sectors. The study synthesizes findings from recent academic research, industry reports, and real-world implementations to provide an in-depth analysis of the benefits and challenges associated with integrating AI into climate action strategies. The methodology involves a thorough examination of the existing literature, identifying key areas where AI has shown significant promise in addressing various aspects of global warming. This includes enhancing the accuracy of climate predictions, optimizing the efficiency of renewable energy systems, improving precision agriculture techniques, and increasing the effectiveness of carbon capture and storage technologies. The conclusions drawn from this research underscore the transformative potential of AI in combating global warming. The findings highlight the necessity for interdisciplinary collaboration, advancements in AI technologies, and the development of supportive policy frameworks to maximize the impact of these innovations. The paper emphasizes that while AI offers significant potential to address global warming, realizing this potential requires addressing several challenges, including data quality and availability, integration with existing systems, ethical considerations, and economic and policy barriers. Furthermore, this paper discusses the critical role of AI in enabling more effective climate adaptation strategies. As the impacts of global warming become increasingly apparent, AI-driven tools and solutions can help communities and ecosystems adapt to changing environmental conditions. This includes providing early warning systems for natural disasters, optimizing resource allocation during climate-related crises, and supporting the development of resilient infrastructure. In addition to technological advancements, the paper also explores the importance of public engagement and citizen science in enhancing the effectiveness of AI applications in environmental monitoring and climate action. By involving citizens in data collection and environmental monitoring, AI models can access more diverse and localized data, improving their accuracy and relevance. Public engagement can also raise awareness about AI's role in addressing climate change and foster greater support for sustainable practices. Overall, this paper provides a comprehensive overview of the current state of AI applications in mitigating global warming, offering insights into the future directions and emerging trends in this rapidly evolving field. The research highlights the need for continued innovation, interdisciplinary collaboration, and supportive policy measures to fully harness the potential of AI in the fight against global warming and to ensure a sustainable future for all. DOI: https://doi.org/10.52783/pst.464