This video discusses the use of artificial intelligence in scholarly research, including various applications and benefits. It also discusses ethical concerns and how they are being addressed. This podcast discusses different AI use cases in scholarly research, including applications for checking grammar, detecting plagiarism, and annotating articles. The speaker talks about popular AI tech stacks and mentions a tool for measuring qualitative quality.

Maha Amami is an NLP Data scientist at MyScienceWork, a company that provides a suite of data-driven solutions for research institutions, scientific publishers and private-sector R&D companies https://www.mysciencework.com/ Maha likes to prototype, build, and deploy AI applications at scale for scholarly research institutions to deliver value. She holds a PhD in computer science from the University of Milano-Bicocca and her PhD research focus was on the scientific paper recommendation. She likes writing articles on medium covering self-experience in academia and data science subjects.