How AI can promote social good | Myntish
Artificial intelligence is now increasingly present in corporate and government decision-making. And although AI tools are still largely in the hands of institutions that focus on profit before purpose, these new technologies could be equally powerful in promoting social good.
A joint effort by MIT Solve and the Patrick J. McGovern Foundation shows how AI applications can be used to extend prosperity to economically marginalized groups. Already, entrepreneurs are exploring how AI can be used to address some of the world's thorniest challenges in thoughtful, creative and previously impossible ways.
AI is most exciting when it can both absorb large amounts of data and identify more accurate correlations (diagnostics), while leaving the causational conclusions and ultimate decision-making to humans. This human-machine interaction is particularly important for social-impact initiatives, where ethical stakes are high and improving the lives of the marginalized is the measure of success.
Google AI Impact Challenge
Working together to apply AI for social good
Google.org issued an open call to organizations around the world to submit their ideas for how they could use AI to help address societal challenges. We received applications from 119 countries, spanning 6 continents with projects ranging from environmental to humanitarian. From these applications, we selected 20 organizations to support.
At Google, we believe that artificial intelligence can provide new ways of approaching problems and meaningfully improve people’s lives. That’s why we’re excited to support organizations that are using the power of AI to address social and environmental challenges. Our 20 selected organizations will receive coaching from Google’s AI experts, Google.org grant funding from a $25 million pool, and credits and consulting from Google Cloud. They will also be offered the opportunity to join a customized 6-month Google Developers Launchpad Accelerator program, including guidance from our nonprofit partner, DataKind, to jumpstart their work.
We looked for projects across a range of social impact domains and levels of technical expertise, from organizations that are experienced in AI to those with an idea for how they could put their data to better use. From that search, we selected 20 organizations that encompass the breadth of impact AI has to offer.
Check out the criteria for how we selected grantees here, and for organizations interested in learning more about how they can get started with AI for Social Good, check out this toolkit for tips and modules.