New Delhi: Delhi University‘s Sri Guru Gobind Singh College of Commerce (SGGSCC) hosted a wide-ranging discussion on Thursday at an international conference exploring how AI is set to shape the future of management.
The event aims to foster meaningful dialogue on the present and future relevance of AI across sectors, college officials said.
The college, on Thursday, inaugurated its two-day eighth biennial international conference titled “Frontiers in AI: Shaping the Future of Management“, which featured a panel discussion on “AI everywhere: transforming code, capital, and customers”.
Alok Pandey, professor and dean of the Office of Career Services at OP Jindal Global University, who was also the session moderator, pointed out, “As the line between real and synthetic often blurs out with AI, it is important to pay special attention to the ethical literacy, which is not fundamentally different from ethics that students should already be learning.”
While the panellists touched upon several topics as to how students can compete in an era where AI is no longer the future, but a real presence in everyday life, a thought that stood out was how AI can be used to revolutionise the teaching and learning system for students.
Kartik Dave, professor and dean of the School of Management at Dr B R Ambedkar University, Delhi, said, “AI can be used to change the way we give degrees to our students. We can work on creating a customised education system or classes for each student, according to their needs and interests.”
The event is being organised by the Seminar Committee of the college, in collaboration with the Department of Finance and Business Economics and the Faculty of Applied Social Sciences and Humanities, University of Delhi.
The inaugural session was held under the guidance of the college principal, Kawal Gill, who highlighted the expanding role of AI in improving administrative efficiency, speed, and systems.
The second day of the conference, to be held on Friday, will feature a second panel discussion on “From Hype to Hard Numbers: Assessing AI’s Cross-Domain Relevance.”
