The research landscape is constantly evolving, and the rate of evolution is quite rapid especially in the AI and digital era. So what does the future look like? How should one balance innovation, ethics, and sustainability? What factors become crucial when using gen AI in academia?<\/p>\n\n\n\n
In this video, our expert Dr. Sunaina Singh highlights why ethical governance, institutional guidelines, and informed decision-making are more important than ever in this fast-paced technology-driven era. It’s not the job of a single person; but a collective and collaborated effort from institutions, publishers, and researchers becomes key to ensure fairness, transparency, and accountability as AI adoption grows.<\/p>\n\n\n\n
Rapid advancements in AI should not come at the cost of equity or ethical standards. Instead, there should be mindful balance between innovation and caution. AI awareness through trainings and workshops can foster responsible AI use. But what exactly does “responsible AI use” mean for researchers? It is not only about maintaining research integrity through ethical AI implementation. A unique perspective covered in this video is the environmental impact of AI tools. From high energy consumption to massive water usage for cooling data centers, every interaction with gen AI carries a hidden cost. This raises an important question: should you always rely on AI, or can simpler alternatives like books or traditional search methods sometimes suffice? <\/p>\n\n\n\n