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1. Transforming Education and Research: The Role of Artificial Intelligence Prof. Chethan Chittalkar Hyderabad

2. Our Scriptures and Artificial Intelligence Human beings have – Body, Mind and Intelligence to satisfy their needs Body – has desires Desires are satisfied with actions Action needs information Information gets analyzed After analysis decision is taken Decision depends on the attitude Attitude is developed through perceptions Perceptions are developed based on experiences

3. Mind and its functions Information is analysed Analysis gives a knowledge about the product or the service Knowledge needs to have a perception Perception will support taking a decision Decision helps to go for action Action satisfies the desire Desire might also create dissatisfaction or go for higher desire Unsatisfied actions will lead to jealousy resulting in unethical actions

4. Intellect – intelligence - intelligent More subtle form (to be understood with clarity) A student is intelligent The intellect develops wisdom (IQ , EQ, SQ , ..) Intelligence is / not hereditary or genetic Intellect will always do the right thing, at right moment for the right cause Intellect is always for a good cause with social responsibility

5. Calendar of events in AI Indian scriptures before 5000 years (best example of AI) 1950s – Problem solving and symbolic methods 1960s – 70s – to play games like chess (rule based/logic) 1980s – decision making abilities of human experts 1990s – computers defeating experts (Garry Casporov ) 2000s – machine learning, deep learning, image and speech recognition autonomous systems (auto drivers, iron domes)

6. Key Areas in AI Machine learning – computers make decision based on data Natural language processing – understand, interpret, translate, generate human language, chatbots, sentiment analysis Computer vision – machines to interpret and make decisions based on visual data (Facial recognition, autonomous driving, medical imaging) Robotics – design construction and operation of robots (manufacturing, healthcare explorations) Expert systems – that emulate the decision making abilities of human experts, medical diagnosis and financial forecasting

7. How Artificial Intelligence works Data collection Data processing Algorithm Development Training Evaluation Deployment (Rama Killed Ravana)

8. Applications of A I Healthcare Finance Transportation Education (personalized learning, expereiencws sharing, grading systems and virtual tutors) Entertainment – Netflix, spotify , video games, content creation

9. DWANDWA (Ethical considerations) AI is like fire It has potential to bring significant benefits but also poses challenges and ethical dilemmas Bias and fairness Privacy Job displacement Transparency

10. Personalised Learning AI can tailor educational experiences to individual students' needs by analysing their learning patterns, strengths, and weaknesses. This could involve adaptive learning platforms that adjust the pace and content of courses based on real-time student performance data.

11. Student Support and Mentoring AI-powered chatbots can provide 24/7 support to students, answering questions about coursework, deadlines, and administrative processes. These bots can also act as virtual mentors, guiding students through their academic journey.

12. Data Analysis and Predictive Analysis AI algorithms can analyse vast amounts of educational data to identify trends and patterns that help institutions improve retention rates, graduation rates, and overall student success.

13. Research Assistance AI can assist researchers by automating literature reviews, data analysis, and hypothesis generation. Natural language processing (NLP) techniques can extract insights from large volumes of text, helping researchers stay updated with the latest findings in their field.

14. Virtual Laboratories and Simulations AI can facilitate virtual experiments and simulations, providing students with practical learning experiences in a controlled environment. This is particularly useful for disciplines like science, engineering, and medicine

15. Automated Grading and Feedback AI can automate routine grading tasks for assignments and quizzes, providing faster feedback to students. Machine learning models can even offer personalized feedback based on common mistakes or areas of improvement.

16. Language Translation and Accessibility AI-powered translation tools can help break down language barriers, enabling international collaboration and access to educational resources in different languages. AI can also assist in making educational materials more accessible to students with disabilities.

17. Administrative Efficiency AI can streamline administrative tasks such as scheduling, course planning, and resource allocation. This frees up educators and administrators to focus more on teaching, research, and student engagement.

18. Ethics and Bias Detection AI can help identify biases in educational materials and assessments, promoting fairness and inclusivity in the learning environment. It can also be used to teach students about ethical considerations in AI development and deployment.

19. Predictive Modelling for Resource Allocation AI algorithms can predict future enrolment trends and resource needs, allowing institutions to optimize budget allocation and infrastructure planning.

20. N amaste