Optimize the safe development, production and compliance of therapeutics and healthcare solutions to deliver Precision Health

Principle: GE Healthcare AI principles, Oct 1, 2018 (unconfirmed)

Published by GE Healthcare

Related Principles

(Preamble)

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:

Published by Artificial Intelligence Industry Alliance (AIIA), China in Joint Pledge on Artificial Intelligence Industry Self-Discipline (Draft for Comment), May 31, 2019

· 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.

Published by Google in Artificial Intelligence at Google: Our Principles, Jun 7, 2018

· 2.1 Investment in AI Research and Development

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.

Published by Information Technology Industry Council (ITI) in AI Policy Principles, Oct 24, 2017

3. Traceable

The department's AI capabilities will be developed and deployed such that relevant personnel possess an appropriate understanding of the technology, development processes and operational methods applicable to AI capabilities, including with transparent and auditable methodologies, data sources and design procedures and documentation.

Published by Department of Defense (DoD), United States in DoD's AI ethical principles, Feb 24, 2020