AI for Social Good: Guest Speaker Series
π₯ Building Infectious Disease Preparedness and Combating AMR Using Explainable AI
π Date: 29th January 2025
π€ Speaker: Dr. Tavpritesh Sethi (IIIT Delhi)
Abstract
Artificial Intelligence (AI) is enhancing clinical decision-making using multimodal data. However, its application has largely been limited to imaging data. In this talk, I will showcase AIβs potential in combating antimicrobial resistance (AMR) and high-risk Intensive Care settings. I will discuss barriers such as explainability and evaluation, proposing pathways for AI-enhanced health systems addressing global infectious diseases.
Biosketch
Dr. Tavpritesh Sethi is an Associate Professor at IIIT-Delhi and leads the Center of Excellence in Healthcare. With a Ph.D. in computational biology, he is a globally recognized expert in data science for healthcare.
π He has received awards for his work in AMR and AI-driven early disease detection from The Trinity Challenge, the Vivli AMR Challenge, and MIT Tech Reviewβs TR35 India. His research focuses on data-driven clinical decision-making, early ICU warning systems, and multimodal AI tools.
π Published 50+ papers | π€ TEDx Speaker | π¬ Fellow at Kavli Foundation & DBT/Wellcome India Alliance
π Applying Geospatial Machine Learning for Societal Impact: Devices, Satellites and Images
π Date: 5th February 2025
π€ Speaker: Anupam Sobti (Assistant professor at Plaksha University)
Abstract
As artificial intelligence spreads its wings, it provides us an opportunity to tackle long standing societal problems by shortening the information gap β whether itβs information about the historical produce of a farm to a bank or declining condition of a road to your local municipal authority. In this talk, I will share examples and opportunities where machine learning based perception systems are being (or could be) used to provide economical and reliable information to the right users at the right time to address many challenges that arise in these socio-technical systems. We will discuss how these βsentientsβ could enthuse efficiency in data-driven decision making for policy makers as well as operational pipelines.
π Future of Food: Addressing Food & Water Security with Machine Learning
π Date: 20th February 2025
π€ Speaker: Alok (Google DeepMind)
Abstract
The global food system faces unprecedented challenges. In 2023, 2.4 billion people experienced moderate to severe food insecurity due to climate change and shifting diets. Agriculture contributes significantly to greenhouse gas emissions, necessitating a shift toward sustainable practices.
π To feed a projected 9.6 billion people by 2050, the FAO estimates a 60% increase in food production. Machine learning can drive this transformation through digitization, precision monitoring, and data-driven decisions.
Biosketch
Alok is a software engineer at Google DeepMind leading AnthroKrishi, a team focused on remote sensing and AI-driven agriculture solutions.
π Founding member of Climate Trace | π Google.org Fellow with WattTime | π¨βπ» 15 years in tech | π€ Leads a 5000-member grassroots climate group at Google
Stay tuned for more engaging talks in our AI for Social Good speaker series! π