Dr. Mayuri Mehta is a passionate learner, teacher and researcher. She is currently working as a Professor in the Department of Computer Engineering of the Sarvajanik College of Engineering and Technology, Surat, Gujarat. She is also an International Relations and External Affairs Officer, Sarvajanik College of Engineering and Technology. She received a doctorate in Computer Engineering from National Institute of Technology (NIT), Surat, India. Her research interests include Data Science, AI, Medical Image Analysis, Health Informatics, Computer Vision and Computer Algorithms. Her 23 years of professional experience includes several academic and research achievements along with administrative and organizational capabilities. 

Research undergoes numerous stages, from its inception to analyzing results and deriving conclusions. What are the stages of research in which AI models aid a researcher? 

AI models can significantly aid researchers at the various stages of research, including literature review, hypothesis generation, data collection, experimental design, data analysis, visualization, and the writing and publishing of articles. Researchers can surely enhance the efficiency, accuracy, and depth of their research using AI models. 

The world is still adjusting to the inception of AI and LLMs. Will the use of generative AI like ChatGPT negatively impact research quality? 

Using generative AI in research can positively and negatively impact research quality. The overall effect depends on how the technology is applied. Potential negative impacts include misinformation and bias, over-reliance on AI, ethical concerns, and quality control. However, potential positive impacts are efficiency and productivity, improved insights and innovation, collaboration and accessibility, and data handling and analysis. 

Can you walk us through your AI journey? 

Though I first studied AI in 2002, my real AI journey started in 2017 when I realized that a massive amount of digital data is available in almost every real-life sector. This huge amount of digital data makes no sense until we truly transform this data into knowledge. Since the initial years of my AI journey, I began to focus on AI-powered healthcare solutions, aiming to enable machines to understand and interpret visual information from medical images to diagnose diseases. I have published several books mainly focusing on AI-based research in healthcare. Under my leadership, many students and colleagues produced numerous research projects, papers and patents. Beyond these technical contributions, I have been a global AI speaker and an AI consultant in some industries. My journey from a young learner to a globally renowned AI expert is an inspiring story of innovation, research, dedication, and impact. I wish my work continues to shape the future of AI, ensuring that it serves and benefits all of humanity. 

How, in your opinion, can we improve AI research in India? 

To improve AI research in India, various aspects of the research ecosystem, including education, infrastructure, funding, collaboration, and policy, must be improved. Specifically, faculties can be trained to keep them updated with the latest advancements in AI. Industry-academia partnerships should be encouraged to offer students internships and hands-on research opportunities. World-class AI research labs should be established to provide access to high-performance computing resources and large datasets. Our government should increase funding for AI research projects, and more importantly, this funding information should reach AI researchers. Global collaborations can play a key role in improving AI research in our country. A comprehensive national AI policy like the EU AI law should be developed to outline strategic priorities, ethical guidelines, and standards for AI research and deployment.  By taking such minor but significant steps, India can create a vibrant and dynamic AI research ecosystem to address societal challenges and contribute to advancements in artificial intelligence. 

AI is considered a male-dominated field. How can we encourage more girls to take the subject in a country like India? 

Encouraging more girls to pursue AI in India requires a holistic approach. AI and its coding should be introduced in school curricula early to spark interest among girls. Successful female AI professionals should be considered role models and mentors to inspire young girls. Teachers should be trained to promote gender equality and encourage girls to participate actively in AI-related subjects. Networks and communities for women in AI should be established to share experiences, resources, and opportunities. Achievements of women in AI should be highlighted to encourage more women to participate in AI. Internship and fellowship opportunities should be created for female AI research and industry students. India can surely create a more inclusive and supportive environment that encourages more girls to take up AI, leading to greater gender diversity and innovation in the AI field. 

What is your message to young girls in our country who want to build a career in AI? 

Dear young girls, AI is a field full of possibilities and discoveries. It is an ever-evolving field. Stay updated with the latest advancements by reading books, taking courses, and participating in workshops. You belong in AI, and your contributions can make a significant difference. Find mentors who can guide you through your educational and career journey. Join communities and networks of like-minded individuals, share ideas, and support each other. Focus on how you can use AI to positively impact society. Whether it's healthcare, education, environment, or any other field, your work can improve the world. The world of AI is waiting for your unique contributions.