Alphabet Inc.’s GOOG GOOGL Google has expanded its “Bug Bounty Program” to include generative AI, offering ethical hackers opportunities to earn more than $30,000 for identifying vulnerabilities.
What Happened: With the rise of generative AI chatbots like OpenAI’s ChatGPT, Google Bard, and Microsoft Bing AI, new security concerns have emerged, including unfair bias and model manipulation.
To address this, on Thursday, Google CEO Sundar Pichai announced this development on X (formerly Twitter), saying, “Today, we’re building on our commitment to safe and secure AI with the first bug bounty program specific to generative AI.”
He further said that the tech giant is also expanding its “open source security work” to make information related to artificial intelligence supply chain security “universally discoverable and verifiable.”
See Also: Google CEO Sundar Pichai To Testify In Landmark US Antitrust Trial On Monday
As part of the expanded Bug Bounty Program, Google will reward ethical hackers for uncovering vulnerabilities related to prompt injection attacks, training data extraction, model manipulation, and model theft.
However, the company won’t provide rewards for issues tied to copyright or the extraction of non-sensitive, public information.
The monetary rewards will vary based on the severity of the vulnerabilities identified. For highly sensitive applications like Google Search or Google Play, researchers can earn up to $31,337 for finding command injection attacks and deserialization bugs.
Rewards for lower-priority applications are capped at $5,000, reported TechCrunch.
Last year, Google distributed more than $12 million in rewards to security researchers, underlining the company’s commitment to enhancing the security of generative AI technologies.
Why It’s Important: Bug bounty programs are fairly common among big tech companies.
Earlier this year, in April, ChatGPT-parent, OpenAI invited people to discover flaws in its AI systems, offering a reward of up to $20,000.
Previously, Mark Zuckerberg-led Meta also took this approach and asked users to report bugs in their software systems.
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