One can only fathom the extent of use of Artificial Intelligence (AI) and its underlying potential in building capabilities. Organizations are now adopting this disruptive technology to scale effectively and optimize their work. But AI isn’t limited to just that. Thanks to its many uses, AI is now part of various social impact movements.
As a field of technology that is advancing at a high rate, AI is already firing-up different impact initiatives, while being piloted in its other plausible integration into existing technology. AI automation enables organisations to achieve error-free processes, with a lesser turn around time and minimal resource requirements. This type of technology integration could make a world of difference to an NPO.
Responding to man-made and natural disasters need to be quick, error-free and highly competent. NPOs that operate in this space have to ensure minimal damage and maximum aid, in the event of an emergency. AI, being an intuitive technology, can help in breaking down processes and expediting online activities quickly. Automation tools could be brought in to dispatch emergency alerts, manage relief camps, help rescue teams to sort through large volumes of data to derive useful insights, etc. Some other examples include:
AIDR (Artificial Intelligence for Digital Response) is a software platform built and sponsored by the UN to filter and analyze social media messages related to emergencies, disasters, and humanitarian crises.
Government of India (Niti Aayog) is working on a customized application that leverages adaptive AI tools to design automated, professional development training content for teachers based on their performance, knowledge and skill levels. Also, AI can help in maintaining student performance records, as well as help them in personalizing teaching with suggestions to improve student grades. Students who face growth deficits and learning disabilities are also observed to highly benefit from AI-based learning applications.
Using AI, one can work on facial recognition/ identification as well as use surveillance analytics to identify any criminal movement or activities across different areas. Using deep learning & smart intelligent systems, one can track people’s movements and also work on general security for residents. The city of Surat had a significant improvement when AI-driven security measurements were taken. The crime rate in the city was decreased by 27% after the implementation.
AI can also detect cyber attacks, through discrepancies in digital devices and identify harmful vulnerabilities and take restorative measures to reduce exposure on online platforms, especially those containing confidential data, from being targeted by dangerous hackers.
Using Image Classification and Object Detection, healthcare can be greatly impacted through AI. Using evaluation and medical records, AI can facilitate and generate predictive results for diagnostics. Also, using deep learning and neural network techniques, one can forecast the outbreak and spread of infectious diseases by analyzing the public records or the spatial data on population density, community demographics, and temporal disease data over the past years. Deep learning scans and images can help in collectively determining cancerous cell detection and various other problems.
Through smart farming methods, AI can aid in generating perfect soil results and yield predictions using crop management analysis. AI thereby even helps the ecosystem and brings substantial, lasting quality-of-life improvement to farmers by helping them in pest control management and crop survival methodology. Also, water management using bot-irrigation is very much on the way to helping farmers manage their water for agriculture.
Advanced research, both core and applied, provides the basis for support, commercialization, and utilization of technologies like AI. In this article, we have touched upon various domains that AI can collaborate with multiple technological stacks to produce optimized, cost-effective results that help impact initiatives.