Top 10 Uses of Artificial Intelligence in The Social Good

Artificial Intelligence

Artificial Intelligence

The role of Artificial Intelligence to bring about social good and how it can bring?

Artificial intelligence is already impacting our lives. And AI for social good is in high time. The deployment of artificial intelligence not only in tech companies but also in the social sector. Artificial Intelligence for social good can assist in solving the country’s social problems. Applying AI in the social sector involves, where humans used to be far better than machines.

The adoption of AI technology and machine learning in the social sector aimed to improve efficiency, consistency, and accuracy in addressing the 17 Sustainable Development Goals, supporting large sections of the populace in both growing and developed countries. AI is already helping in several real-life situations, from assisting blind humans in navigating and diagnosing cancer to identifying sexual harassment victims and helping with catastrophe relief, economic empowerment, and many more.

 

Let us take a look at social domains where AI can be carried out effectively;

Crisis response: Climate change is an ongoing challenge, especially when disasters on jungles and forests, and also can analyze how trees have been disrupted in the forest. Now, AI has emerged as greater sophisticated, we have each the technological know-how and the integral data scientists to find out about earthquakes at a deeper level. using AI on satellite data, we can map and predict the wildfires. Drones with AI can find missing persons in wilderness areas.

Educational challenges:  AI can be useful in maximizing student achievement and improving teachers’ productivity. Adaptive instructing technologies can be used to propose content material and guides to college students, primarily based on their engagement and fruitful interaction with past publications and material. adaptive-learning technology could base recommended content to students on past success and engagement with the material.

Environmental challenges:  AI helps sustain and preserve biodiversity, detect climate change, air pollution, and the degradation of herbal resources. AI equipment TensorFlow to preserve fragile rainforest ecosystems around the globe. By examining the audio-sensor in prone areas, one can aware of unlawful logging activity. AI can also be deployed to catch poachers and illegal hunting of wild animals. using and radio waves can be analyzed where poachers are exactly. Few of the world’s animals are on the verge of extinction because of poaching, with around 100 elephants killed each day for ivory, meat, and physique parts. Thus, AI-powered image classification and object detection can prove useful in combating the illegal wildlife trade, worth $ 8 billion to $ 10 billion every year.

Health and hunger: AI addresses health and hunger challenges, including early-stage diagnosis and optimized food distribution. AI system using skin lesions to determine cancer, potential to detect early signs of diabetes, analyzing heart-rate sensor. These devices could help more than 400 million people around the world afflicted by the disease. To enhance drug manufacturing and improve hypersensitivity and sickness detection, the healthcare sector is diving head-first into the future with robot surgeons. Present using robotic equipment for minor procedures.

Public and social-sector management: AI initiatives related to efficiency and the effective management of public- and social-sector management, AI can be used to identify tax fraud using alternative data such as browsing data, retail data, or payments history.

Information verification and validation: AI can contribute to fake news area by presenting counteractive views to the ideologically insulated pockets across social media platforms. AI concerns the challenge of facilitating the provision, validation, and recommendation of helpful, valuable, and reliable information to all. It focuses on filtering or counteracting misleading and distorted content.

Infrastructure management: AI concerns infrastructure challenges that could promote the public good in the categories of energy, water, and waste management, transportation, real estate, and urban planning. AI technology can also be used to schedule predictive maintenance of public transportation systems, such as trains and public infrastructure, to identify potentially malfunctioning components.

Security and justice: AI involves preventing crime and other physical dangers, tracking criminals, and mitigating bias in police forces. It focuses on security, policing, and criminal-justice issues, rather than as part of public-sector management. using AI and data from internet of things devices to create solutions that help firefighters determine safe paths through burning buildings.

Equality and inclusion: Artificial intelligence addressing challenges to equality, inclusion, and self-determination such as bias based on race, sexual orientation, religion, citizenship, and disabilities are issued in the society.

Economic empowerment: AI involves opening access to economic resources and opportunities, including jobs, the development of skills, and market information. AI can assist farmers in analyzing the factors of temperature, climate conditions, detecting plant damage early, water usage, and soil conditions, in real-time. Imago AI is an India-based ag-tech startup that targets to use AI to extend crop yields and minimize food waste. They hope that this technology can assist feed the world’s growing population with the aid of optimizing agricultural methods.