Artificial Intelligence (AI) is transforming various sectors by improving efficiency and decision making. This paper analyzes the intricacies of intellectual property (IP) ownership regarding AI-generated works inside the Indian legal system. As artificial intelligence (AI) systems progressively generate content independently, inquiries emerge regarding authorship and the relevance of current intellectual property regulations. The study intends to evaluate existing Indian intellectual property laws, determine their sufficiency in managing AI-generated creations, and recognize any legal obstacles and consequences. The theoretical framework is based on legal positivism, emphasizing the interpretation of statutory laws and judicial precedents. The research utilizes a doctrinal methodology, encompassing an extensive survey of Indian intellectual property legislation, analysis of case law, and scrutiny of international legal frameworks for comparative perspectives. Research reveals that Indian intellectual property law does not contain explicit regulations for works generated by artificial intelligence, resulting in uncertainties regarding authorship and ownership. The Indian government asserts that the current intellectual property regime can safeguard AI-generated works; yet, actual implementation issues remain. The recent lawsuit by Indian news agency ANI against OpenAI for the improper use of its content in AI training models highlights the urgent necessity for legal clarity in this area. The study indicates that India's existing intellectual property regime is inadequate to confront the distinctive difficulties presented by AI-generated works. It advocates for legislative modifications to clearly delineate authorship and ownership of AI-generated creations, so guaranteeing legal clarity and safeguarding stakeholders. It is also observed that no such amendments it is made in Information technology act and IPR policy subject to increase in use of AI in field of literature.

Artificial Intelligence (AI) has transformed several industries through process automation, enhanced decision-making, and experience personalisation. Because of its capacity to evaluate enormous volumes of data, businesses can develop more effective, customised solutions for customers. User satisfaction is critical to business success because it encourages customer loyalty, retention, and goodwill. The possibility that happy users would return and recommend the services to others promotes long-term growth. The study's objective is to evaluate how AI can improve user satisfaction. The study employed the structural equation model as its methodology. The study's conclusions showed that there is a significant impact of operational efficiency, personalization and customer experience, and trust and security on user satisfaction.

Understanding the degree of financial literacy is the main goal of the current study and digital awareness among marginalised tribal women artisans engaged in bamboo products, in order to alleviate socioeconomic inequities and promote inclusive growth. This study aims to explore the financial empowerment of indigenous women, evaluating the complex relationship between economic justice programmes and sustainable approaches to achieve inclusive development. In this context, the research aims at the degree of financial literacy and examines the different facets of financial programs created especially for tribal women. This will contribute to promote economic equality and long-term social change, among women artisans of Dahanu Taluka.

This study will focus on AI in banking sector of Mumbai region, while focusing on how AI can be very helpful in several sector including financial sectors too. This will focus on customer satisfactions and their trust on recent technology. As financial institutions increasingly adopting AI technology. These services are very convenient towards their customers by providing 24/7 availability with banking services. the customer perception regarding AI remains mixed by different age group which affects the level of trust on AI and recent technologies. Government should take initiative to create awareness regarding Ai in banking sectors. There are many positive and negative aspects of AI includes 24/7 availability, any time fund transfers and ease of use for balance inquiry. It is time friendly which makes human more tech savvy. Ai also gives financial advice based on their financial behavior. However, there are certain negative points many customers still afraid regarding their privacy regarding their financial data fearing misused and breaches. Recent upgrade in technology also replaces human interaction with the help of chatbot and virtual assistance. It also assumes that AI will replace human needs in jobs. The study conducts primary data on the basis of questionnaire with banking customers of different age groups and their perspective towards AI and their trust on recent technology and security towards there banking experience in recent era.

Complementary feeding (CF) should be started after six months to the infants for their growth and development. CF practices amongst the mothers of 6-24 months old subjects were studied and importance and potential of the application of AI for CF in infants were explored from literatures. A mixed study design was used. 190 subjects were selected through stratified random sampling method and proper inclusion and exclusion criteria were followed. Data was collected from mothers of subjects. It was found that 77.60%, infants from 6 to 8 months age group were offered complementary foods with a thin/liquid consistency. 100% subjects fed CF for 1 to 2 times and 16.32% fed for 5 times. 48.42% respondent mothers feeding high calorie food during fever, 44.74% respondents did not give electrolytes/ ORS during diarrhoea and fever. Majority of the subjects drink 120 to 240 ml water daily. It was found that 72.11% participants introduces all tastes and foods to child gradually and slowly in an empty stomach. Only 37.89% participants feed malted food to infants. After studying complementary feeding and it’s finding AI applications found to be important for the care takers in terms of CF. AI driven application for CF can be helpful to improve healthy CF practices among mothers to improve nutritional status of infants and monitor their growth and development.

Today's world is a world of computer technology. Most of the work is done through computers. Online shopping, online payment, online ticket booking, online electricity bill payment, online exams, e-court services, and e-banking are some examples of computer technology. It is progressing day by day. Artificial intelligence, which is developed through computer language, mathematics and physics which is a current updating in computer technology, which includes machine learning and language of algorithm. It is a manmade-computerized tool which works like a human being or more than a human being. It is nothing but a machinery-based knowledge system so known as Artificial Intelligence which is not natural but created artificially. Artificial Intelligence is being used in various fields, like Automobiles, Healthcare, Retail and Ecommerce, Finance, Transportation and logistics, Education, Manufacturing, Entertainment, and Education. Agriculture, Energy, Personnel Management and Environmental Science. Artificial Intelligence is an indivisible element of the modern world. Artificial Intelligence is playing key role in modernising finance sector. Study of concept of Artificial Intelligence, and the AI key role in the finance sector with various AI applications utilized in the finance sector. Studies will be done by means of secondary data available on the internet, various websites and research papers. The research paper concludes the role of AI in the finance sector with an explanation of the advantages and limitations of AI in the Finance Sector.

The world today is talking about Artificial Intelligence trying to replace the Human Intelligence in all the sectors. The National Education Policy 2020 also proposes the maximum use of technology in the classrooms by supporting the tagline ‘AI for ALL’. But unlike any other sector, the educational sector rather than dealing with machines, deals with the human beings with emotions, intellect and unpredictive brains. Therefore, the young developing generations may get misguided if handed over in the hands of AI completely for their development. On the other hand, it has become impossible to keep pace with the faster moving world with omission of technology. The present study therefore tries to blend the traditional strategies of teaching with modern technology in such a ratio so as to gain the maximum positive outcomes. The study intends to investigate the effectiveness of AI enhanced blended learning programme on the achievement of the learner. The teaching programme was developed by the researcher by blending the AI tools with the traditional face to face teaching method. The quasi-experimental pre-post-test study was conducted on the students of grade XI of science stream, studying in Government Higher Secondary School, Pernem Goa. The study utilizes convenient sampling method for selection of the sample. The pre- test score was used to divide the sample into two groups of 15 students each, using counter balance design. One group was termed as the Experimental Group while the other group as the Controlled Group. The Gravitation topic in physics was taught to an experimental group using the developed programme, utilizing AI enhanced blended mode of teaching whereas the traditional face-to-face mode of teaching was used for the controlled group. After the treatment, both the groups were administered the post-test. The score of post- tests of experimental and controlled group was analyzed using t-test to find the effect of the treatment administered to the experimental group. The feedback was obtained from the learners to find their views and the challenges faced by them while going through the experimental phase. The study showed that there was a significant difference in the mean score of experimental and control group indicating that the programme was very effective. The feedback obtained showed that if learners are equipped and guided with proper technology and devices AI enhanced blended teaching will bring the reform by making learning more interesting, focused, engaging and playful. Hence the study provided the concrete evidence that planned integration of AI in complementation with the traditional teaching will lead to the positive enhancement of the achievement of the learning of the learner. This study will help the educators, policy makers, curriculum planners, academicians and all the stakeholders to accept the use of ai tools positively for enhancing the learning outcomes of the learners.