EIILM University

The fast evolution of Artificial Intelligence (AI) is transforming industries at an unprecedented pace, sparking concerns about its impact on jobs and the potential replacement of human workers.Experts have raised various challenges and fears regarding the future of AI, with the top five concerns including a loss of control over individuals' lives, risks associated with surveillance and data systems, widening economic disparities, diminishing cognitive skills, and heightened vulnerabilities to cyber threats.Advances in machine learning have led to the creation of intelligent robots capable of performing tasks that were once exclusive to humans, leading to potential job displacement in various industries.While AI is currently taking over repetitive tasks and leading to job losses in areas like manufacturing and customer service,it is also creating new job opportunities in AI development and ethical oversight.Despite its efficiency and data handling capabilities, AI lacks human qualities such as creativity, empathy, and moral judgment, making it unlikely to fully replace humans in complex roles. Instead, AI is expected to enhance human capabilities, improve efficiency, and create opportunities for collaboration between humans and machines. To prepare for the changes brought about by AI,individuals should focus on developing new skills,critical thinking,and lifelong learning.The future of AI lies in humans and machines working together to boost innovation and productivity, rather than in the complete replacement of humans by AI. Through responsible policies, prudent choices, and a focus on human-machine collaboration, society can navigate the challenges and opportunities presented by the AI revolution successfully. By embracing change and implementing strategies to retrain workers and ensure shared gains from automation, governments, employers, and educators can create a balanced and inclusive future that benefits both human workers and AI technology.This paper looks at whether AI will mainly reduce jobs or act as a tool to support human abilities in the future.Through this study the need for humans and AI to work together to create a balanced and inclusive future has been highlighted.

The early identification of brain tumors is essential for optimal treatment and patient prognosis. Advancements in MRI technology have markedly enhanced tumor detection yet necessitate accurate classification for appropriate therapeutic approaches. This underscores the necessity for sophisticated diagnostic instruments that are precise and comprehensible to healthcare practitioners. Our research presents CNN-TumorNet, a convolutional neural network for categorizing MRI images into tumor and non-tumor categories. Although deep learning models exhibit great accuracy, their complexity frequently restricts clinical application due to inadequate interpretability. To address this, we employed the LIME technique, augmenting model transparency and offering explicit insights into its decision-making process. CNN-TumorNet attained a 99% accuracy rate in differentiating tumors from non-tumor MRI scans, underscoring its reliability and efficacy as a diagnostic instrument. Incorporating LIME guarantees that the model's judgments are comprehensible, enhancing its clinical adoption. Despite the efficacy of CNN-TumorNet, the overarching challenge of deep learning interpretability persists. These models may function as "black boxes," complicating doctors' ability to trust and accept them without comprehending their rationale. By integrating LIME, CNN-TumorNet achieves elevated accuracy alongside enhanced transparency, facilitating its application in clinical environments and improving patient care in neuro-oncology.

The purpose of this study was to determine how "The Influence of Knowledge, Trust and Motivation of Consumers on Purchase Intention of Environmentally Friendly Products (Survey on Ades Drink Consumers in Yogyakarta)". The technique used is non probability sampling using purposive sampling method. The sample size was 100 respondents by distributing questionnaires which were measured using a Likert scale. The results showed that knowledge had no significant positive effect on purchase intention for environmentally friendly products, but the factors of trust and motivation had a significant positive effect on purchase intention for environmentally friendly products in Yogyakarta.

Organizations throughout the world have experienced lack of total and motivated participation by individuals working and engaged with it.Now a day, rising mental health aberration in organizational context leads to lack of participation among executives in almost all organizations of the world.One of the major causes of developing mental health problems is not able to practice self-autonomy in organization due to certain internal pattern of individual and the external forces implied on the person, which impacts on developing group cohesion, individual energy, individual and group productivity, creativity and innovative capacity of the person.This study explored practicing autonomy in different domain in organization develops confidence with in individuals to overcome mental aberrations like depression, feeling of deprivation, and stress among executives.Practicing autonomy in decision making process engages executives in organizational functions and enhances organizational involvement and organizational citizenship behaviour.Higher participation in accomplishing organizational goal leads to maximize human energy.Energy output by an individual in organizational context comprises Physical, Psychological and Spiritual energy in individual which helps individual to develop poise inner condition and therefore lead to overcome mental aberration among executives at individual level as well as group behaviour.

The author has focused on the various objectives and activities that two New Zealand-based community organisations named Go Eco and Waikato Waldorf School are involved in, and how they are aligned with some of the United Nations' Sustainable Development Goals (SDGs) which were framed with the objective of making the earth a better place. The research was mixed, but it was predominantly primary. The author came in touch with (and interviewed) multiple members of the staff of Go Eco and Waikato Waldorf School. I have gained further and in-depth insights into those various activities from them. The research findings helped in bringing out the real picture, which was positive, and perfectly in line with what the organizations have on their website. Although the influence of these organisations is limited to Hamilton city or the Waikato district, their activities, in turn, help in achieving the SDGs. The findings and analysis showed the level of their involvement and reflected the extent of their impact. It helped the author link his investigations with the literature review and the knowledge about the organisations he gained from their official websites. Thus, he suggested some recommendations. He has mentioned how these expanding organisations could work in association with the New Zealand government, which is supporting the United Nations' cause and the SDGs, to reach the people in other parts of the world in post-pandemic times.