Joint Pledge on Artificial Intelligence Industry Self Discipline (Draft for Comment)
Artificial intelligence is an important driving force for a new round of scientific and technological revolution and industrial transformation, which will bring revolutionary changes to people's production methods and lifestyles. Establish a correct view of artificial intelligence development; clarify the basic principles and operational guides for the development and use of artificial intelligence; help to build an inclusive and shared, fair and orderly development environment; and form a sustainable development model that is safe secure, trustworthy, rational, and responsible.
As enterprises, universities, research institutes, and industry organizations that research, design, manufacture, operate, and service artificial intelligence; to promote ethics and self discipline in China's artificial intelligence industry; to guide and standardize the behavior of practitioners; we make the following commitments:
To realize Society 5.0 and continuous innovation in which people evolve along with AI, it is necessary to account for national, industry academia, and public private borders, race, sex, nationality, age, political and religious beliefs, etc. Beyond these boundaries, through a Global perspective we must promote diversification and cooperation between industry academia public private sectors, through the development of human capabilities and technology.
To encourage mutual collaboration and partnership between universities, research institutions and private sectors, and the flexible movement of talent.
To implement AI efficiently and securely in society, methods for confirming the quality and reliability of AI and for efficient collection and maintenance of data utilized in AI must be promoted. Additionally, the establishment of AI engineering should also be promoted. This engineering includes methods for the development, testing and operation of AI.
To ensure the sound development of AI technology, it is necessary to establish an accessible platform in which data from all fields can be mutually utilized across borders with no monopolies, while ensuring privacy and security. In addition, research and development environments should be created in which computer resources and highspeed networks are shared and utilized, to promote international collaboration and accelerate AI research.
To promote implementation of AI technology, governments must promote regulatory reform to reduce impeding factors in AI related fields.
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.
We will work with a range of stakeholders to promote thoughtful leadership in this area, drawing on scientifically rigorous and multidisciplinary approaches. And we will responsibly share AI knowledge by publishing educational materials, best practices, and research that enable more people to develop useful AI applications.
IEEE supports the inclusion of ethical considerations in the design and deployment of autonomous and intelligent systems.
Autonomous and Intelligent systems (A IS) are systems that are capable of adaption and learning based on feedback and data from their environment. A IS hold great promise to benefit society in applications domains as diverse as transportation, health and social care, environmental preservation, enterprise productivity, communication network optimization, power grid adaptation and management, agriculture, manufacturing, and entertainment. Recent success in machine learning, signal processing, planning algorithms, digital sensing, embedded systems, cloud computing, as well as voice, image and pattern analysis have greatly accelerated application of A IS. They hold great promise to benefit society, but they also present potential new social, legal and ethical challenges, with corresponding new requirements to address issues of systemic risk, diminishing trust, privacy challenges and issues of data transparency, ownership and agency.
Therefore, there is a compelling need for developers and operators of A IS systems to maintain awareness of and employ consensus based global best technical practices and standards that recognize and align end users’ and citizen’s values when building and deploying A IS. To that end:
2.1 Investment in AI Research and Development
Published by: Information Technology Industry Council (ITI) in AI Policy Principles
We encourage robust support for research and development (R&D) to foster innovation through incentives and funding. As the primary source of funding for long term, high risk research initiatives, we support governments’ investment in research fields specific or highly relevant to AI, including: cyber defense, data analytics, detection of fraudulent transactions or messages, robotics, human augmentation, natural language processing, interfaces, and visualizations.