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This article will explain in detail what are the seven principles of AI about Google. The content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Some time ago, there was an incident of "Google employees boycotting cooperation with the military". The cause of the incident: Google's Maven project with the Department of Defense requires machine learning to process dynamic video data collected by drones, and may even be used for the purpose of "surveillance". Another person familiar with the matter revealed that Google is also helping the Ministry of Defense configure the software.

For Google, which has always been based on the creed of "don't be evil", employees may think that this cooperation will lead to a brain drain and is inconsistent with Google's core values.

Finally, in 2018-06-07, Google CEO Sundar Picha published a "AI at Google: our principles" article about Google's seven AI principles, including not using AI technology to develop weapons. This is a formal indication of Google's attitude to the outside world.

Principle text

The core of AI is computer programming (computer programming) that can be learned and adapted. It can't solve all the problems, but it can improve our lives. At Google, we use AI technology to make our products more useful-e-mails that delete spam and make it easier to write, to digital assistants that can talk to you naturally, and interesting photos that pop up for you to enjoy.

In addition to our products, we are using AI technology to help people solve urgent problems. A pair of high school students are building AI-powered sensors to predict the risk of wildfire (wildfies). Farmers are using it to monitor the health of their cattle. Doctors began to use AI to help diagnose cancer and prevent blindness. These obvious benefits are why Google invests heavily in AI research and development and makes AI technologies widely available to others through our tools and open source code.

We recognize that this powerful technology raises equally important questions for its use. How to develop and use artificial intelligence will have a great impact on the society for many years to come. As leaders in the field of artificial intelligence, we feel a deep sense of responsibility. So today, we have announced seven principles to guide our future work. These are not theoretical concepts, these are specific standards that will actively dominate our research and product development, and will affect our business decisions.

We recognize that this area is dynamic and evolving, and that we will treat our work with humility, our commitment to internal and external participation, and our willingness to adjust our approach over time.

The goal of AI application

We will evaluate the AI application in view of the following goals. We believe that AI should:

1. Be beneficial to the society

The expansion of new technologies increasingly covers society as a whole. Advances in artificial intelligence will have a transformative impact on a wide range of areas, including health care, security, energy, transport, manufacturing and entertainment. When we consider the potential development and application of AI technology, we will consider a wide range of social and economic factors and will continue when we believe that the overall possible benefits far outweigh the foreseeable risks and disadvantages.

Artificial intelligence also enhances our ability to understand the meaning of large-scale content. We will strive to use AI to provide high-quality and accurate information at any time, while continuing to respect the cultural, social and legal norms of our country. We will continue to carefully assess when to make our technology available on a non-commercial basis.

two。 Avoid generating or reinforcing unfair prejudices

Artificial intelligence algorithms and data sets can reflect, enhance or reduce unfair biases. We recognize that the distinction between fair and unfair prejudices is not always simple and varies in different cultures and societies. We will strive to avoid unjust effects on people, especially those related to sensitive traits such as race, ethnicity, gender, nationality, income, sexual orientation, ability and political or religious beliefs.

3. Establish and test security

We will continue to develop and apply strong safety and security measures to avoid unintended consequences that pose a risk of injury. We will design our artificial intelligence systems to maintain appropriate caution and seek to develop them according to the best practices of artificial intelligence security research. Where appropriate, we will test the AI technology in a restricted environment and monitor its operation after deployment.

4. Be responsible for human beings

We will design an AI system to provide appropriate opportunities for feedback, explanation and appeal. Our AI technology will be subject to appropriate human guidance and control.

5. Incorporate privacy design principles

We will integrate our privacy principles into the development and use of our AI technology. We will provide opportunities for notification and consent, encourage architectures with privacy protection measures, and provide appropriate transparency and control over the use of data.

6. Adhere to the high standard of scientific excellence

Technological innovation is rooted in scientific methods and committed to open investigation, intellectual rigor, integrity and cooperation. Artificial intelligence tools have the potential to open up new areas of scientific research and knowledge in key fields such as biology, chemistry, medicine and environmental science. We are committed to promoting the development of artificial intelligence, and we pursue high standards of scientific excellence.

We will work with a range of stakeholders to promote thoughtful leadership in this area in a scientifically rigorous and multidisciplinary manner. We will share artificial intelligence knowledge responsibly by publishing educational materials, best practices and research, so that more people can develop useful artificial intelligence applications.

7. Provide uses that comply with these principles

Many technologies have multiple uses. We will try to limit potentially harmful applications. As we develop and deploy AI technology, we will assess possible uses based on the following factors:

Main purpose and use: the main purpose and possible use of the technology and application, including solutions related to or suitable for harmful use

Nature and uniqueness: do we offer unique or more universally available technologies

Scale: will the use of this technology have a significant impact

The nature of Google participation: do we provide general tools, integrate tools for customers or develop custom solutions

AI applications that we will not pursue

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

Techniques that cause or are likely to cause overall damage. In cases where there is a significant risk of injury, we will only do so if we believe that the benefits far exceed the risks, and will include appropriate safety restrictions.

Its main purpose is to implement weapons or other technologies that cause or directly promote personal injury.

The technology of collecting or using information for surveillance violates internationally accepted norms.

The purpose of these technologies violates widely accepted international law and human rights principles.

We want to be clear that although we have not developed AI for weapons, we will continue to cooperate with the Government and the military in many other areas. These include cyber security, training, military recruitment, veteran health care and search and rescue. Such cooperation is very important and we will actively look for more ways to strengthen the critical work of these organizations and to maintain the safety of service personnel and civilians.

Although this is how we chose to use AI, we understand that there is still a lot of room for sound in this conversation. As artificial intelligence technology advances, we will work with many stakeholders to promote thoughtful leadership in this field and adopt a scientifically rigorous multidisciplinary approach. We will continue to share what we have learned to improve AI technology and practice.

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