Powering apps, gadgets, devices with virtual assistants, Artificial Intelligence (AI) has already channeled its way into our smart homes. But can AI powered technology be expanded to solve our everyday complications, logjams, societal woes? Google aims to achieve this with its AI for social good program.
Through this agenda, it plans to create an AI ecosystem enriched by engineering, research, public resourcefulness & also teaming up with experts in order to tackle otherwise difficult & unanswered societal challenges. Incorporating AI, for instance, to find cure to terminal illnesses, also contain the spread of such ailments, to prevent climate change & its unfortunate impact, to stop natural extinction, so on & so forth. It’s what the tech giant calls “AI expertise on solving humanitarian & environmental challenges”.
Like every other deemed project created for social betterment, this too, calls for a collaborated concerted effort by members across the world.
Google AI Impact Challenge
- Organizations across the globe can submit their ideas on using AI to help deal with social challenges. AI powered projects will be evaluated by Google’s team of expert reviewers.
- Selected organizations will get customized support including coaching from Google’s AI experts, Google.org grant funding from a US $25M pool, credit & consulting from Google Cloud & more.
- For your Machine Learning (ML) skill set, you may refer to Google’s guide with educational Content that includes some of its recent projects.
- You may submit your ideas until 11:59:59 pm PST January 22, 2019. The names of grant recipients will be announced in spring 2019.
Institutions, enterprises experienced in AI, as well as others who envision putting their data to better use, ranging across social impact domains with levels of technical expertise may participate. For more queries, you may check its FAQs section.
Moreover, proposed AI models must include impact, feasibility, use of AI, scalability as also responsibility. The project must not only address a societal challenge but also be feasible enough to be deployed. The AI powered model must be seeped in research & provide well-developed, realistic plan for real-world impact & its outcomes. If the project does make the cut, it should be capable to be scaled beyond initial proposal. Most importantly, the use of AI should be in line with Google’s AI Principles.
Image credit: Google
