Advantages of AI
Amid the cacophony of concern over artificial intelligence (AI) taking over jobs (and the world) and cheers for what it can do to increase productivity and profits, the potential for AI to do good can be overlooked. Technology leaders such as Microsoft, IBM, Huawei and Google have entire sections of their business focused on the topic and dedicate resources to build AI solutions for good and to support developers who do. In the fight to solve extraordinarily difficult challenges, humans can use all the help we can get. Here are 8 powerful examples of artificial intelligence for good as it is applied to some of the toughest challenges facing society today.
There are more than 1 billion people living with a disability around the world. Artificial intelligence can be used to amplify these people’s abilities to improve their accessibility. It can facilitate employment, improve daily life and help people living with disabilities communicate. From opening up the world of books to deaf children to narrating what it “sees” to those with visual impairments, apps and tools powered by artificial intelligence are improving accessibility.
Climate Change, Conservation and the Environment
One of the most perplexing and pressing issues the planet faces today is climate change. Artificial intelligence innovators are developing ways for the technology to be applied to help improve the climate change issue from simulations to monitoring, measuring and resource management. In addition, AI has been deployed in conservation biology. AI tools make wildlife monitoring more accurate and efficient, and data analysis streamlined. Drones are also used to monitor wildlife populations and count animals as well as catch poachers in the act.
In order to feed the world’s population by 2050, the United Nations estimates we will need to increase the world’s food production by 70%. This gargantuan task seems more plausible with the support of artificial intelligence. In addition to developing hearty seeds, artificial intelligence can be used to automate tedious tasks, detect disease for earlier interventions, apply herbicide precisely and generally maximize crop production.