Google AI Principles

Summary

Commit to bold innovation by advancing AI research, accelerating scientific discovery, solving real-world problems, and ensuring benefits substantially outweigh risks.

Ensure responsible development and deployment with human oversight, rigorous testing and monitoring, safeguards to mitigate harms, avoidance of unfair bias, and respect for privacy, security, and intellectual property.

Promote collaborative progress by empowering others to innovate, fostering a vibrant AI ecosystem, and engaging with researchers, governments, and civil society to address challenges collectively.Commit to bold innovation by advancing AI research, accelerating scientific discovery, solving real-world problems, and ensuring benefits substantially outweigh risksCommit to developing AI responsibly, focusing on social benefits by evaluating potential applications for transformative impacts in various fields.

Seek to avoid creating or reinforcing unfair biases, particularly concerning sensitive characteristics.

Ensure AI systems are designed and tested for safety, applying strong security practices and closely monitoring post-deployment.

Maintain accountability to people by allowing for feedback, explanations, and human control over AI technologies.

Incorporate privacy principles, offering notice, consent, and transparency, while upholding privacy safeguards in AI architecture.

Aspire to scientific excellence, leveraging AI for advancements in critical scientific areas.

Limit use to applications adhering to these principles, considering factors like purpose, uniqueness, scale, and Google's role.

Prohibit AI involvement in technologies causing harm, weapons, surveillance violating norms, or contravening international law.

Adapt the prohibitions list as AI experience grows.

Commits to socially beneficial AI that avoids unfair bias and builds in safety, cybersecurity, and robustness, with testing in constrained environments and post-deployment monitoring.

Responsibility: Our Principles

While we are optimistic about the potential of AI, we recognize that advanced technologies can raise important challenges that must be addressed clearly, thoughtfully, and affirmatively. These AI Principles describe our commitment to developing technology responsibly and work to establish specific application areas we will not pursue.

Objectives for AI applications

1. Be socially beneficial. The expanded reach of new technologies increasingly touches society as a whole. Advances in AI will have transformative impacts in a wide range of fields, including healthcare, security, energy, transportation, manufacturing, and entertainment. As we consider potential development and uses of AI technologies, we will take into account a broad range of social and economic factors, and will proceed where we believe that the overall likely benefits substantially exceed the foreseeable risks and downsides.

AI also enhances our ability to understand the meaning of content at scale. We will strive to make high-quality and accurate information readily available using AI, while continuing to respect cultural, social, and legal norms in the countries where we operate. And we will continue to thoughtfully evaluate when to make our technologies available on a non-commercial basis.

2. Avoid creating or reinforcing unfair bias. AI algorithms and datasets can reflect, reinforce, or reduce unfair biases. We recognize that distinguishing fair from unfair biases is not always simple, and differs across cultures and societies. We will seek to avoid unjust impacts on people, particularly those related to sensitive characteristics such as race, ethnicity, gender, nationality, income, sexual orientation, ability, and political or religious belief.

3. Be built and tested for safety. We will continue to develop and apply strong safety and security practices to avoid unintended results that create risks of harm. We will design our AI systems to be appropriately Cautious, and seek to develop them in accordance with best practices in AI safety research. In appropriate cases, we will test AI technologies in constrained environments and monitor their operation after deployment.

Provide user-facing explanations and appeals, embed privacy with notice/consent and data-use controls, and evaluate allowable uses via impact and generality-based criteria.

4. Be accountable to people. We will design AI systems that provide appropriate opportunities for feedback, relevant explanations, and appeal. Our AI technologies will be subject to appropriate human direction and control.

5. Incorporate privacy design principles. We will incorporate our privacy principles in the development and use of our AI technologies. We will give opportunity for notice and consent, encourage architectures with privacy safeguards, and provide appropriate transparency and control over the use of data.

6. Uphold high standards of scientific excellence. Technological innovation is rooted in the scientific method and a commitment to open inquiry, intellectual rigor, integrity, and collaboration. AI tools have the potential to unlock new realms of scientific research and knowledge in critical domains like biology, chemistry, medicine, and environmental sciences. We aspire to high standards of scientific excellence as we work to progress AI development.

7. Be made available for uses that accord with these principles. Many technologies have multiple uses. We will work to limit potentially harmful or abusive applications. As we develop and deploy AI technologies, we will evaluate likely uses in light of the following factors: a) Primary purpose and use: the primary purpose and likely use of a technology and application, including how closely the solution is related to or adaptable to a harmful use b) Nature and uniqueness: whether we are making available technology that is unique or more generally available c) Scale: whether the use of this technology will have significant impact d) Nature of Google’s involvement: whether we are providing general-purpose tools, integrating tools for customers, or developing custom solutions

Prohibits developing AI for harmful technologies, weapons, surveillance violating norms, and against international law.

AI applications we will not pursue

In addition to the above objectives, we will not design or deploy AI in the following application areas:

1. Technologies that cause or are likely to cause overall harm. Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints.
2. Weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people.
3. Technologies that gather or use information for surveillance violating internationally accepted norms.
4. Technologies whose purpose contravenes widely accepted principles of international law and human rights.

As our experience in this space deepens, this list may evolve.