In this series, you can ask questions and clarify your doubts. The expert team from INDIAai will answer your questions.

Send your questions to askindiaai@mail.nasscom.in. 

What is the future of AI in neurology? - Perumal, Accountant, Hyderabad

The future of AI in neurology is promising, with AI-powered tools expected to revolutionize diagnosis, treatment, and research. AI can analyze medical images, such as MRIs and CT scans, to detect abnormalities earlier and more accurately. It can also assist in developing personalized treatment plans based on individual patient data and genetic information. Additionally, AI can contribute to drug discovery and development by identifying potential targets for neurological diseases. Overall, AI has the potential to significantly improve patient outcomes and advance our understanding of neurological conditions.

What is green artificial intelligence? What is green AI vs red AI? - Kaligambal, Healthcare Advisor, Trichy

Green AI is a subfield of artificial intelligence that prioritizes energy efficiency and environmental sustainability. It aims to minimize the carbon footprint of AI systems through optimized algorithms, hardware, and data centres. In contrast, Red AI focuses primarily on achieving high accuracy and performance, often at the expense of energy consumption. While Red AI can be valuable in specific applications, Green AI ensures that AI technology aligns with environmental goals and contributes to a more sustainable future.

What is AI in advocacy? - Rithamika, Surgeon, Vellore

AI in advocacy refers to applying artificial intelligence technologies to support various advocacy efforts. It includes using AI tools for data analysis, communication, and outreach to advance social, political, or environmental causes. AI can help identify key issues, target specific audiences, and streamline advocacy processes. By leveraging AI, advocates can enhance their impact and efficiency in promoting their desired outcomes.

What is automated decision-making in AI? - Yashvin, Entrepreneur, Bengaluru

Automated decision-making in AI refers to the use of AI systems to make decisions without significant human intervention. These systems can analyze data, identify patterns, and apply pre-defined rules or algorithms to arrive at conclusions. Automated decision-making can be used in various fields, such as finance, healthcare, and customer service, to streamline processes and improve efficiency. However, it is essential to ensure that automated decision-making systems are transparent, accountable, and unbiased to avoid negative consequences.

Why should we build ethical AI? - Prisha Krishna, Research Scientist, Bhopal 

Ethical AI is crucial because it ensures that AI systems are developed and deployed responsibly and beneficially. We can avoid negative consequences such as bias, discrimination, and privacy violations by prioritising ethical considerations. Ethical AI promotes transparency, accountability, and fairness, fostering trust in AI technology and ensuring it serves society's best interests.