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Our commitment to advancing bold and responsible AI, together

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Summary

Google and other leading AI companies have committed to advancing responsible practices in the development of artificial intelligence. Google is working on AI to solve societal issues and promote safe and secure AI systems. They are also addressing AI-generated content, and are joining other leading AI companies in endorsing these commitments and sharing information and best practices.

Q&As

What are the commitments being made to advancing responsible practices in the development of artificial intelligence?
The commitments being made to advancing responsible practices in the development of artificial intelligence include supporting efforts by the G7, the OECD, and national governments to maximize AI’s benefits and minimize its risks, applying AI to solve society’s biggest challenges, promoting safe and secure AI systems, building trust in AI systems, and building responsible AI together.

What are some of the ways Google is using AI to solve societal issues?
Some of the ways Google is using AI to solve societal issues include forecasting floods, cutting carbon emissions by reducing stop-and-go traffic, improving health care by answering clinical questions with more than 90% accuracy, and helping to treat and screen for diseases like breast cancer.

What steps is Google taking to ensure AI systems are safe and secure?
Google is taking steps to ensure AI systems are safe and secure by introducing its Secure AI Framework (SAIF) to help organizations secure AI systems, expanding its bug hunters programs (including its Vulnerability Rewards Program) to incentivize research around AI safety and security, putting its models through adversarial testing to mitigate risks, and advancing the state of the art on topics like helping AI communicate in safer ways, preventing advanced models from being misused, and designing systems to be more ethical and fair.

How is Google working to build trust in AI systems?
Google is working to build trust in AI systems by publishing a set of AI Principles to guide its work, establishing a governance team to put them into action by conducting ethical reviews of new systems, avoiding bias and incorporating privacy, security and safety, and helping developers pursue AI responsibly with its Responsible AI Toolkit. It is also taking steps to promote trustworthy information by integrating watermarking, metadata, and other innovative techniques into its latest generative models, and bringing an About this image tool to Google Search to give users context about where an image first appeared online.

What initiatives is Google supporting to promote the responsible development of new generative AI tools?
Google is supporting initiatives like the Partnership for AI’s synthetic media working group to promote the responsible development of new generative AI tools. It is also participating in additional red teaming exercises, including one at DefCon next month.

AI Comments

👍 I'm impressed by Google's commitment to advancing responsible practices in the development of artificial intelligence. Their approach to AI is secure-by-default and they have taken significant steps to make sure AI systems are safe and secure.

👎 While Google has done some work to promote trust in AI systems, there's still more that needs to be done in terms of addressing AI-generated content. Industry-wide solutions are needed to truly make a difference.

AI Discussion

Me: It's about how Google and other leading AI companies are committing to advancing responsible practices when it comes to the development of artificial intelligence. They're looking to maximize the benefits of AI while minimizing the potential risks.

Friend: That's really interesting. What are some of the implications of this commitment?

Me: Well, for one, it could mean that AI will be used to solve some of the world's biggest challenges like forecasting floods, reducing traffic, and improving healthcare. It could also lead to increased trust in AI systems and help prevent the misuse of advanced models. Finally, it could mean that industry-wide solutions will be developed to address AI-generated content.

Action items

Research the Partnership for AI and ML Commons to learn more about their initiatives and how to get involved.
Explore Google's Responsible AI Toolkit to learn more about how to develop AI responsibly.
Join the synthetic media working group of the Partnership for AI to contribute to the development of responsible AI-generated content.

Technical terms

AI (Artificial Intelligence): AI is a type of computer technology that is designed to simulate human intelligence and behavior.
G7: The Group of Seven (G7) is an international intergovernmental economic organization consisting of the seven largest advanced economies in the world: Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States.
OECD (Organisation for Economic Co-operation and Development): The Organisation for Economic Co-operation and Development (OECD) is an intergovernmental economic organization with 37 member countries, founded in 1961 to stimulate economic progress and world trade.
Secure AI Framework (SAIF): The Secure AI Framework (SAIF) is a set of guidelines and best practices for developing secure AI systems.
Vulnerability Rewards Program: The Vulnerability Rewards Program is a bug bounty program that rewards researchers for finding and reporting security vulnerabilities in Google products.
Adversarial Testing: Adversarial testing is a method of testing AI systems by introducing malicious inputs to see how they respond.
Generative Models: Generative models are AI systems that can generate new data from existing data.
Watermarking: Watermarking is a technique used to embed a digital signature or logo into an image or video.
Metadata: Metadata is data about data, such as the date and time a file was created, the author of the file, and other information.