Doing Academia Differently

Let’s talk about the fundamentals of GenAI that every professional and student needs to know to thrive in 2026. Discover how AI is no longer a novelty, but a practical copilot embedded in daily workflows. In this episode, I discuss the three key ways GenAI is transforming work and learning. You’ll learn how AI’s role is shifting from being a final authority to serving as strategic support, enabling smarter decision-making. I also break down three guiding principles for using AI ethically and effectively. Plus, I briefly explore three transformative trends shaping AI in 2026. These developments are changing how professionals and students interact with technology, highlighting the need for adaptability, awareness, and ethical use. Whether you're an academic, lawyer, student, or curious learner, this episode will help you grasp the essentials of AI’s role in the new knowledge economy. Get ready to rethink productivity, study smarter, and engage with AI ethically because understanding the basics today prepares you for the breakthroughs of tomorrow.

In the inaugural episode of Doing Academia Differently, Dr Karnika Bansal explores how AI is reshaping academia and the legal profession. She shares her journey as an early-career academic and reflects on what these changes mean for teaching, research, and legal practice.Drawing on Richard Susskind’s latest book, How to Think About AI: A Guide for the Perplexed, the episode unpacks common misconceptions about AI, why understanding its real capabilities matters, and how it could disrupt traditional roles in universities and law.Dr Bansal also highlights why educational institutions need to adapt quickly, and encourages educators, law students, and legal professionals to focus more on outcomes than legacy processes.TakeawaysThe academic landscape is shifting due to AI.Understanding AI is crucial for early career academics.AI is pattern recognition running on massive data sets.Bias in data leads to bias in AI outcomes.The human-centric error is a psychological hurdle.Automation, innovation, and elimination are key concepts in AI disruption.Legal education must adapt to the changing landscape.Focus on the capabilities of AI rather than the technical jargon.The future of work will blur professional boundaries.The outcome of AI-driven processes may outweigh the need for human involvement.