Organizational Overview and Key Functions
While a traditional organizational chart is fluid and evolving, CAI's operational structure is defined by its core functions and collaborative spirit, fostering innovation and responsible AI deployment. These key functions ensure comprehensive support for AI development and integration across the university and beyond:
- Interdisciplinary Collaboration: Actively fostering collaboration among diverse disciplines for innovative AI solutions.
- Policy and Ethics Guidelines: Establishing ethical guidelines for responsible AI technology use.
- Education and Training: Providing AI-related skills and knowledge through various courses and workshops.
- Student Engagement: Engaging students directly in AI research projects and internships.
- Research: Facilitating research fellowships and entrepreneurship in responsible AI.
This structure is further supported by our robust network of international collaborations with institutions like the University of Cincinnati, and ongoing discussions with industry leaders such as IBM, Single Store, and Digi Track for corporate engagements.
CAI is committed to continuous growth and expanding its influence, with ambitious goals outlined for the coming years:
- Exploring multi-disciplinary project support for the entire university community.
- Focusing on core research in AI laterals, delving into fundamental AI advancements.
- Upskilling the needy ones in both foundational and advanced AI levels, ensuring widespread AI literacy.
- Creating a workstation with a pioneer company to enhance research outcomes and bridge academia with industry.
- International collaboration for AI development, extending our reach and impact across borders.
We have already seen progress towards these goals, with proposals submitted and funding approved for an Indo-Korean project. Looking ahead, our plans include:
- Submitting proposals to national agencies (DST, UGC, AICTE).
- Proposing international collaboration grants with diverse partner universities.
- Approaching corporate CSR initiatives for AI literacy outreach.
CAI is a dynamic hub for learning, committed to equipping individuals with essential AI skills and fostering an understanding of ethical AI use. Our comprehensive training and skill enhancement programs include:
Workshops & Ethical Training
Our workshops address critical areas of AI application, always with a strong emphasis on ethics.
- AI in Education with Ethical Training: Promoting responsible and impactful AI integration in learning.
- Ethical AI in Healthcare: Ensuring AI applications contribute positively and responsibly to societal well-being.
- Basic AI Tools in Community Projects: Addressing the need for ethical oversight in foundational AI tools for community initiatives.
- AI in Social Media with Ethical Concerns: Exploring complex societal issues and ethical dilemmas raised by AI in social media.
Featured Programs
- Pyconnect: Make Coding Second Nature! This unique initiative aims to upskill non-technical science students in Python skills, providing a crucial foundation for impactful AI applications across diverse fields. It offers a 1-credit course to establish groundwork for AI applications.
- AI for Teaching and Learning: A joint initiative with IIT Gandhinagar and ICT Academy, this online program (August 18-29, 2025) is dedicated to enhancing education through AI-driven teaching and learning practices.
- Python Workshop at CHRIST BRC: A two-day workshop (July 31 and August 1, 2025) that immersed management students in coding fundamentals and showcased Python's pivotal role in AI-driven finance.
- AI in Digital Marketing: Strategies for the Next Era: A dynamic workshop (August 21, 2025, Delhi NCR Campus) led by Dr. Ujjwal Chugh, exploring AI's transformative power in digital marketing strategies.
- National Conference on Data Intelligence and Cybersecurity: Dr. Rajesh Kanna represented CAI, contributing insights on Generative AI in Data Analytics and Cyber Defense.
- AI for Social Action: A training hierarchy designed for faculties with basic AI knowledge and for administration-level personnel.
- AI for Scientific Journey: Focused on integrating AI in various scientific disciplines, including Physics (modeling and discovering physical laws), Chemistry (predicting reactions and discovering drugs), Environmental Sciences (climate modeling and wildlife monitoring), and other sciences like geology, biology, and materials science.
- AI for Policy Bootcamp: A comprehensive program covering AI Fundamentals, Real-World Applications, Collaboration, Ethical Implications, and Skill Development to shape responsible AI policies.
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Overview
While a traditional organizational chart is fluid and evolving, CAI's operational structure is defined by its core functions and collaborative spirit, fostering innovation and responsible AI deployment. These key functions ensure comprehensive support for AI development and integration across the university and beyond:
- Interdisciplinary Collaboration: Actively fostering collaboration among diverse disciplines for innovative AI solutions.
- Policy and Ethics Guidelines: Establishing ethical guidelines for responsible AI technology use.
- Education and Training: Providing AI-related skills and knowledge through various courses and workshops.
- Student Engagement: Engaging students directly in AI research projects and internships.
- Research: Facilitating research fellowships and entrepreneurship in responsible AI.
This structure is further supported by our robust network of international collaborations with institutions like the University of Cincinnati, and ongoing discussions with industry leaders such as IBM, Single Store, and Digi Track for corporate engagements.
CAI is committed to continuous growth and expanding its influence, with ambitious goals outlined for the coming years:
- Exploring multi-disciplinary project support for the entire university community.
- Focusing on core research in AI laterals, delving into fundamental AI advancements.
- Upskilling the needy ones in both foundational and advanced AI levels, ensuring widespread AI literacy.
- Creating a workstation with a pioneer company to enhance research outcomes and bridge academia with industry.
- International collaboration for AI development, extending our reach and impact across borders.
We have already seen progress towards these goals, with proposals submitted and funding approved for an Indo-Korean project. Looking ahead, our plans include:
- Submitting proposals to national agencies (DST, UGC, AICTE).
- Proposing international collaboration grants with diverse partner universities.
- Approaching corporate CSR initiatives for AI literacy outreach.
CAI is a dynamic hub for learning, committed to equipping individuals with essential AI skills and fostering an understanding of ethical AI use. Our comprehensive training and skill enhancement programs include:
Workshops & Ethical Training
Our workshops address critical areas of AI application, always with a strong emphasis on ethics.
- AI in Education with Ethical Training: Promoting responsible and impactful AI integration in learning.
- Ethical AI in Healthcare: Ensuring AI applications contribute positively and responsibly to societal well-being.
- Basic AI Tools in Community Projects: Addressing the need for ethical oversight in foundational AI tools for community initiatives.
- AI in Social Media with Ethical Concerns: Exploring complex societal issues and ethical dilemmas raised by AI in social media.
Featured Programs
- Pyconnect: Make Coding Second Nature! This unique initiative aims to upskill non-technical science students in Python skills, providing a crucial foundation for impactful AI applications across diverse fields. It offers a 1-credit course to establish groundwork for AI applications.
- AI for Teaching and Learning: A joint initiative with IIT Gandhinagar and ICT Academy, this online program (August 18-29, 2025) is dedicated to enhancing education through AI-driven teaching and learning practices.
- Python Workshop at CHRIST BRC: A two-day workshop (July 31 and August 1, 2025) that immersed management students in coding fundamentals and showcased Python's pivotal role in AI-driven finance.
- AI in Digital Marketing: Strategies for the Next Era: A dynamic workshop (August 21, 2025, Delhi NCR Campus) led by Dr. Ujjwal Chugh, exploring AI's transformative power in digital marketing strategies.
- National Conference on Data Intelligence and Cybersecurity: Dr. Rajesh Kanna represented CAI, contributing insights on Generative AI in Data Analytics and Cyber Defense.
- AI for Social Action: A training hierarchy designed for faculties with basic AI knowledge and for administration-level personnel.
- AI for Scientific Journey: Focused on integrating AI in various scientific disciplines, including Physics (modeling and discovering physical laws), Chemistry (predicting reactions and discovering drugs), Environmental Sciences (climate modeling and wildlife monitoring), and other sciences like geology, biology, and materials science.
- AI for Policy Bootcamp: A comprehensive program covering AI Fundamentals, Real-World Applications, Collaboration, Ethical Implications, and Skill Development to shape responsible AI policies.
