SUNNYVALE, Calif. (Reuters) - Alphabet Inc’s (GOOGL.O) Google announced on Monday that it would grant about $25 million globally next year to humanitarian and environmental projects seeking to use artificial intelligence (AI) to speed up and grow their efforts.
The “AI Impact Challenge” is meant to inspire organizations to ask Google for help in machine learning, a form of AI in which computers analyze large datasets to make predictions or detect patterns and anomalies.
Focusing on humanitarian projects could aid Google in recruiting and soothe critics by demonstrating that its interests in machine learning extend beyond its core business and other lucrative areas, such as military work. After employee backlash Google this year said it would not renew a deal to analyze U.S. military drone footage.
Google AI Chief Operating Officer Irina Kofman told Reuters the challenge was not a reaction to such pushback, but noted that thousands of employees are eager to work on “social good” projects even though they do not directly generate revenue.
At a media event on Monday, Google showcased existing projects similar to those it wants to inspire. In one, Google’s computers recently learned to detect the singing of humpback whales with 90 percent precision from 170,000 hours of underwater audio recordings gathered by the U.S. government.
The audio previously required manual analysis, meaning “this is the first time this dataset has been looked at in a comprehensive way,” said Ann Allen, a National Oceanic and Atmospheric Administration ecologist.
Identifying patterns could show how humans have affected whales’ migration, Allen said. Eventually, real-time audio analysis could help ships avoid whale collisions.
To be sure, the data have gaps since whales are not always singing, and getting vessels to use animal location data could require new regulation, two whale experts said.
Julie Cattiau, a Google product manager for the whale work, said Google plans to make the whale software available to additional organizations to improve.
Google will not charge for such tools, Cattiau said, though users could choose to pair them with paid Google cloud services.
Jacquelline Fuller, vice president of Google nonprofit arm Google.org, said impact challenge applications would be due Jan. 20 and judged on total potential beneficiaries, feasibility and ethical considerations.
This year, Google.org filtered grant applications with its own machine-learning tool for the first time, Fuller said, after receiving a record number of entries for an Africa-specific competition.
(This story corrects the amount Google will grant to $25 million, not $20 million, in the headline and first paragraph. Reuters corrects paragraph five to make clear projects may not directly generate revenue.)
Reporting by Paresh Dave; Editing by Stephen Coates