St. Joseph College of Teacher Education for Women, Ernakulam
ABSTRACT
Artificial Intelligence (AI) has emerged as a transformative force, deeply ingrained in various aspects of everyday life. This article examines the multifaceted impact of AI across key domains including education, healthcare, media and entertainment, and transportation. In education, AI technologies facilitate personalized learning experiences, adaptive tutoring systems, and automated grading, revolutionizing traditional teaching methods and enhancing student outcomes. Within healthcare, AI-driven solutions empower clinicians with tools for medical imaging analysis, disease diagnosis, and personalized treatment recommendations, leading to improved patient care and diagnostic accuracy. In media and entertainment, AI algorithms drive content curation, recommendation systems, and immersive experiences, shaping consumer preferences and revolutionizing content creation processes. Furthermore, in transportation, AI powers autonomous vehicles, traffic management systems, and predictive maintenance solutions, optimizing efficiency, safety, and sustainability across transportation networks. While AI presents unprecedented opportunities for innovation and progress in these domains, ethical considerations, including privacy, bias, and societal impact, must be carefully addressed to ensure equitable access and responsible deployment of AI technologies. This article underscores the transformative potential of AI in everyday life.
KEY WORDS: Artificial Intelligence, Machine Learning, Medical robots
INTRODUCTION
In recent decades, technology has taken giant leaps, completely changing how we do things (Frey & Osborne, 2017). AI, once just science fiction, is now a major part of our everyday lives. Machines can now learn like the human brain, thanks to complex systems called neural networks (Iqbal et al., 2016). This is seen as a golden age for AI, and it's likely to be a leader in technology for a long time.
Even more importantly, AI has made our lives much better. It helps us do things faster and more accurately in many areas of our daily routines. This close connection between AI and our daily lives shows how much it can change things, and it promises to make our lives even better in the future. From suggesting movies to improving healthcare, AI is everywhere, making things smoother and more efficient. As AI gets stronger and spreads wider, it will affect society even more, leading to new progress and changing how we interact with technology and each other.
WHAT IS AI?
Defining AI is not easy; in fact, there is no generally accepted definition of the concept (Russell & Norvig,2020) . Numerous different ones are used, and this can easily lead to confusion. It is therefore important to clarify our use of the term. We start by discussing various definitions of AI, then explain which we have settled on. The sheer variety of definitions in circulation is not due to carelessness, but inherent in the phenomenon of AI itself.
A common definition of AI is that it is a technology that enables machines to imitate various complex human skills. This, however, does not give is much to go on. In fact, it does no more than render the term ‘artificial intelligence’ in different words. As long as those ‘complex human skills’ are not specified, it remains unclear exactly what AI is. The same applies to the definition of AI as the performance by computers of complex tasks in complex environments.
Other definitions go further in explaining these skills and tasks. For example, the computer scientist Nils John Nilsson describes a technology that “functions appropriately and with foresight in its environment” (Nilsson, 2009). Others speak of the ability to perceive, to pursue goals, to initiate actions and to learn from a feedback loop (DenkWerk, 2018).A similar definition has been put forward by the High-Level Expert Group on Artificial Intelligence (AI HLEG) of the European Commission (EC): “Systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals” (High-Level Expert Group on Artificial Intelligence, 2019).
Describing AI as “systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals”, this encompasses all the applications we currently qualify as AI and at the same time provides scope for future changes to that qualification.
AI IN EDUCATION
AI has the potential to significantly impact online learning in various ways, ranging from personalizing the student experience to automating routine tasks for instructors (Anderson et al., 1985; Baker, 2016; Roll et al., 2018; Seo et al., 2020b; VanLehn, 2011). This includes personalized learning, where AI tutors can tailor learning content based on individual student patterns and knowledge levels, offering individualized guidance, support, and feedback (Hwang et al., 2020). Furthermore, AI teaching assistants can help instructors by handling repetitive tasks like responding to simple questions in online forums, allowing instructors to dedicate more time to higher-level interactions with students (Goel & Polepeddi, 2016). Additionally, AI analytics can provide valuable insights into student performance, progress, and potential by analyzing clickstream data, helping instructors understand their students' learning journeys (Roll & Winne, 2015; Fong et al., 2019; Seo et al., 2021; Holstein et al., 2018).
Several AI systems are already being explored and implemented, with the potential to influence learner-instructor interaction in online learning environments. For example, Goel and Polepeddi (2016) developed an AI teaching assistant called Jill Watson, designed to augment instructor communication with students by autonomously handling tasks like student introductions, announcements, and frequently asked questions. Additionally, Perin and Lauterbach (2018) developed an AI scoring system to facilitate faster communication of grades between students and instructors. Luckin (2017) explored AI systems that support both students and instructors by providing continuous feedback on student learning and progress towards learning goals. Ross et al. (2018) developed online adaptive quizzes that personalize learning content based on individual student needs, leading to increased student motivation and engagement. Heidicker et al. (2017) investigated the use of virtual avatars, which allow physically separated users to collaborate in an immersive virtual environment, potentially enhancing the sense of presence in online learning. Aslan et al. (2019) explored the use of AI facial analytics to improve instructors' presence as coaches in technology-mediated learning environments. However, as Zawacki-Richter et al. (2019) highlight, in-depth research is crucial to understand how students and instructors perceive the impact of AI in online learning environments.
Early studies, such as Garito's work in 1991, emphasized the potential of AI to change the traditional role of a teacher. More recent research, like Cope, Kalantzis, and Searsmith (2020), further emphasizes how AI empowers educators with new approaches to teaching and learning. With its diverse applications, AI is transforming educational practices and impacting learners globally, including in the Global South, and in emerging forms of education like MOOCs, blended learning, and flipped classrooms.
A recent review by Zawacki-Richter et al. (2019) summarizes the diverse applications of AI in education (AIEd), encompassing learner profiling, performance prediction, assessment, evaluation, personalization, adaptive learning, and more. Existing AI systems can analyze student input and provide immediate corrective feedback (Mirzaeian, Kohzadi, & Azizmohammadi, 2016; Roschelle, Lester, & Fusco, 2020), generate automatic scoring and formative assessments (Zhu, Liu, & Lee, 2020), and even guide students with revisions during the learning process (Lee et al., 2019). Additionally, intelligent tutoring systems can identify student strengths and gaps in knowledge (Zawacki-Richter, Marin, Bond, & Gouverneur, 2019). Furthermore, intelligent feedback systems can delve deeper, measuring not just what is learned, but also how individuals learn (Cutumisu, Chin, & Schwartz, 2019). Machine learning algorithms, for example, can predict at-risk students with high accuracy, allowing educators to intervene and support them towards success (Chui, Fung, Lytras, & Lam, 2020). Similarly, AI can identify gifted students with high potential (Hodges & Mohan, 2019).
AI IN HEALTH CARE
The healthcare industry is undergoing a significant transformation driven by two key factors: rising healthcare costs and a growing shortage of qualified professionals. This has led to a surge in the adoption of new information technology-based solutions and processes aimed at cost reduction and problem-solving in this critical sector (Díaz et al., 2019). Artificial intelligence (AI) stands out as a particularly revolutionary force, strengthening modern healthcare through its diverse capabilities. From predicting and understanding complex patterns to learning and acting based on gathered data, AI offers a wide range of applications that are reshaping the healthcare landscape (Lee, 2021).
One area where AI is making a significant impact is drug discovery. Pharmaceutical companies are leveraging AI technology to accelerate this traditionally lengthy and expensive process. AI systems can automate the identification of potential drug targets, analyzing vast datasets to find promising molecules. Additionally, AI can assist in drug repurposing, a process where existing medications are evaluated for effectiveness against new diseases (Chan et al., 2019). This not only streamlines the drug discovery process but also reduces redundant work and paves the way for a faster, cheaper, and ultimately more effective approach to drug development (Angus, 2020).
AI-powered solutions are also revolutionizing clinical trials. These trials, crucial for evaluating the safety and efficacy of new drugs, often involve handling large amounts of complex data. AI's ability to analyze this data with remarkable accuracy can significantly shorten trial durations while boosting both productivity and the overall quality of clinical development outcomes (Lee, 2021). This translates to faster delivery of potentially life-saving treatments to patients in need.
Beyond its impact on drug development and clinical trials, AI plays a crucial role in enhancing patient care. Medical AI companies are developing sophisticated systems that support patients at every stage of their healthcare journey. These systems can analyze patients' medical data and deliver personalized insights that can improve their quality of life. Additionally, AI is being utilized to identify high-risk pregnancies, allowing for early intervention and potentially reducing maternal mortality and complications (Prabu, 2021). This advancement in preventative care holds immense potential for improving maternal health outcomes.
The realm of medical robotics represents another exciting area where AI is making significant strides. Medical robots are increasingly being employed to assist patients in various ways. For example, exoskeleton robots offer individuals with paralysis the ability to walk again, fostering greater independence and improved quality of life (Shi et al., 2019). Similarly, smart prosthetics equipped with advanced sensors provide enhanced functionality and a natural connection to the user's muscles. These robotic advancements not only empower patients physically but also offer psychological benefits by fostering a sense of self-sufficiency and control. Moreover, robots are playing a valuable role in rehabilitation and surgery, further demonstrating the diverse applications of AI in this domain (Cruciger et al., 2016).
One particularly noteworthy example of AI's impact in diagnostics is the development of AI-powered stethoscopes. These stethoscopes capture data with greater accuracy, even in noisy environments, compared to traditional stethoscopes. Additionally, the digital nature of these devices eliminates the need for specialized training, allowing anyone to take readings and easily transmit the data to healthcare professionals for further analysis (Prabu, 2021). This advancement holds promise for improved accessibility to accurate diagnoses, particularly in remote or resource-limited settings.
AI is rapidly transforming healthcare, holding immense potential to improve patient treatment, streamline administrative tasks, and ultimately enhance the overall quality of life for individuals. As AI becomes increasingly prevalent in modern healthcare, its diverse applications and capabilities offer exciting possibilities for the future of this critical sector.
AI IN MEDIA AND ENTERTAINMENT
The world of entertainment has changed a lot because of Artificial Intelligence (AI), or "smart machines" as some call them (Sharma & Yadav, 2021). AI is used in many ways, from making movies and music to showing people things they might like online.
Making content is different now because of AI. In the past, people did many things by hand, but now AI can do some of them. For example, companies like Scriptbook use AI to read movie scripts and guess if they will be successful, which helps filmmakers make better decisions (Sharma & Yadav, 2021). Another example is an AI tool called DALL-E, which can draw pictures from descriptions people write. This helps artists be more creative (OpenAI).
When you watch videos or listen to music online, AI helps recommend things you might like (Chen & Hsieh, 2020). Companies like Netflix and Spotify use AI to learn what you like and show you things that are similar. This keeps people using these platforms because they find things they enjoy.
AI is also used to make special effects in movies and video games even more realistic (Zhang & Tao, 2020). This makes the stories seem more real and exciting. For example, a tool called NVIDIA GauGAN can turn a simple drawing into a beautiful picture, which helps artists create amazing worlds (NVIDIA).
AI can also help keep online communities safe from harmful content (Davidson et al., 2019). Companies like Google and Facebook use AI to find and remove things that shouldn't be there, like mean or offensive words. This helps make the internet a safer place for everyone. However, it's important to remember that AI is still learning, and sometimes it makes mistakes. People need to keep an eye on how AI is used to make sure it's being used fairly and safely.
As AI gets better and better, it will continue to change the world of entertainment in many ways. It will help create new and exciting things, but it's important to use it responsibly to keep everyone safe and happy.
AI IN TRANSPORTATION
The way we travel is being transformed by smart machines, also known as Artificial Intelligence (AI). AI is making its mark on everything from how we get around to how safe and enjoyable the journey is.
One of the most exciting advancements is self-driving cars. These vehicles use AI to "see" the world around them, make decisions, and navigate safely without needing a human driver (Waymo, 2021). Scientists are constantly working on improving and ensuring the safety of this technology (Sallai et al., 2018).
Traffic jams can be a thing of the past thanks to AI-powered traffic management. These systems analyze real-time data to keep traffic flowing smoothly and avoid congestion (Nguyen et al., 2020). Scientists are exploring various techniques, like using special programs that learn and adapt, to further refine this technology (Yuce & Dagli, 2020).
AI is also playing a crucial role in keeping transportation systems running smoothly. By analyzing historical data and monitoring equipment health in real-time, AI can predict potential problems with trains, buses, and other systems before they happen, allowing for proactive maintenance and minimizing disruptions (Bektas et al., 2021). This not only saves money but also keeps everyone safe (Zhao et al., 2021).
Our roads and bridges are becoming "smarter" with the help of AI. This means new technology is being integrated into these structures. For instance, traffic lights can adjust their timing based on the number of cars present, and signs can provide drivers with real-time information (Al-Turjman & Sheltami, 2020). Scientists are continuously researching new ways to use AI to further improve these systems (Pan et al., 2019).
AI is making travel easier and more enjoyable for passengers. AI-powered platforms can help travelers find the best route, book services, and have a seamless journey experience (Ossowski & Hernández-Orallo, 2021). This makes using transportation systems more user-friendly and accessible for everyone. Scientists are focused on developing even smarter and more helpful AI assistants to further enhance the passenger experience and promote sustainable travel choices (Hu & Zhong, 2021).
AI is revolutionizing the transportation industry, offering innovative solutions to improve safety, efficiency, and the overall passenger experience. From self-driving cars to smart infrastructure and predictive maintenance, AI technologies are reshaping how we move people and goods across the globe. As research and development in AI continue to advance, the transportation sector stands poised for further evolution, ushering in a new era of smart and sustainable mobility.
CONCLUSION
Artificial Intelligence (AI) has become an integral part of everyday life, permeating various aspects of society and revolutionizing how we live, work, and interact with the world around us. From personalized recommendations on streaming platforms to virtual assistants organizing our schedules, AI technologies have transformed mundane tasks into seamless and efficient experiences. Moreover, AI-driven innovations in healthcare, transportation, and education have led to significant improvements in efficiency, accuracy, and accessibility, enhancing the quality of life for millions worldwide. However, as AI continues to evolve and integrate further into our daily routines, it is essential to address concerns regarding privacy, ethics, and the potential impact on employment. The ethical use of AI, including considerations of bias and fairness, is crucial to ensuring that these technologies benefit all members of society equitably. Additionally, ongoing efforts to promote transparency and accountability in AI systems are essential for building trust and fostering responsible innovation. While there are legitimate concerns about the displacement of certain jobs due to automation, AI also presents opportunities for new types of employment and skill development. By investing in education and training programs that prepare individuals for the jobs of the future, we can mitigate the negative impact of AI on employment and empower workers to thrive in a rapidly changing labour market. Ultimately, by embracing the opportunities presented by AI while also navigating its challenges responsibly, we can harness its full potential to address some of the most pressing challenges facing humanity, from healthcare and climate change to social inequality and economic development. As AI continues to advance, it promises to reshape our everyday experiences, offering endless possibilities for innovation, progress, and ultimately, a brighter future for all.
REFERENCES
1. Poola, I., & Božić, V. How Artificial Intelligence is Impacting Real Life Every Day. Retrieved from (https://www.researchgate.net/publication/321348028).
2. Frey, C. B., & Osborne, M. A. (2013). The future of employment: How susceptible are jobs to computerisation?
3. Sheikh, H., Prins, C., & Schrijvers, E. (2017). Artificial Intelligence: Definition and Background. Philosophy & Technology, 30(4), 419-434.
4. Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2017). The impact of artificial intelligence on learner–instructor interaction in online learning. Computers & Education, 122, 40-54.
5. Zhang, K., & Aslan, A. B. (2019). AI technologies for education: Recent research & future directions. Computers & Education, 145, 103693.
6. Shaheen, M. Y. (2019). Applications of Artificial Intelligence (AI) in healthcare: A review. International Journal of Computer Applications, 103(12), 25-32.
7. Sharma, R., & Yadav, N. (2021). AI and Machine Learning in Entertainment Industry: A Comprehensive Study. International Journal of Advanced Research in Computer Science, 12(1), 345-358.
8. Chen, C., & Hsieh, G. (2020). Personalized Video Recommendation System Based on AI. IEEE Access, 8, 95777-95788.
9. Al-Turjman, F., & Sheltami, T. R. (2021). AI-powered smart transportation: Trends, prospects, and challenges. IEEE Transactions on Intelligent Transportation Systems, 22(5), 2699-2716.
10. Bektas, T., Laporte, G., & Hupert, N. (2021). Predictive maintenance of an urban rail transit system: An artificial intelligence-based approach. Transportation Research Part C: Emerging Technologies, 123, 102954.
11. Hu, L., & Zhong, Y. (2021). Personalized Travel Recommendation System for Intelligent Transportation Based on Machine Learning. IEEE Access, 9, 46097-46106.
12. Yuce, B., & Dagli, C. H. (2020). A review of artificial intelligence applications for traffic management. IEEE Access, 8, 169849-169872.
13. Nguyen, G. N., Ai, T. J., & Zhang, G. (2020). A review of applications of artificial intelligence in traffic engineering. IET Intelligent Transport Systems, 14(3), 181-191.
14. Ossowski, S., & Hernández-Orallo, J. (2021). AI solutions for improving passenger experience in public transport systems. IEEE Intelligent Systems, 36(3), 34-43.
15. Pan, L., Zeng, Z., Sheng, W., & Cao, D. (2019). A survey of deep learning for smart infrastructure: Algorithms, techniques and systems. Future Generation Computer Systems, 100, 226-247.
Comments
Post a Comment