
AI policy principles
This report outlines the responsibility of industry and governments in promoting responsible development and use of artificial intelligence. The policy principles focus on the integration of principles into the design of AI technologies, investment in AI research and development, and collaboration through public-private partnerships.
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OVERVIEW
This policy report provides industry-specific policy principles that aim to promote the responsible development and use of artificial intelligence (AI).
Our responsibility: Promoting responsible development and use
- We acknowledge industry’s responsibility to integrate principles into the design of AI technologies, beyond compliance with existing laws.
- Researchers, experts, and stakeholders should spend a great deal of time working to ensure responsible design and deployment of AI systems, including addressing safety and controllability mechanisms, use of robust and representative data.
- AI solutions must be tailored to the unique risks presented by the specific context in which a particular system operates.
The opportunity for governments: Investing and enabling the AI ecosystem
- Governments should encourage robust research and development to foster innovation through incentives and funding; Investments in cyber defence, data analytics, detection of fraudulent transactions, robotics, human augmentation, natural language processing, interfaces, and visualisations should be encouraged.
- Governments should evaluate existing policy tools and use caution before adopting new laws, regulations, or taxes that may inadvertently or unnecessarily impede the responsible development and use of AI.
- Protecting source code, proprietary algorithms, and other intellectual property is foundational; governments should avoid requiring companies to transfer or provide access to technology, source code, algorithms, or encryption keys as conditions for doing business.
Public-private partnerships: Promoting lifespan education and diversity
- Diversification and broadening of access to AI resources are necessary, such as computing resources, education, and training, to ensure equality of opportunity.
- Training delivery is critical and will require significant investment, not only in STEM education but also in understanding human behaviour via the humanities and social sciences.
- An ability to adapt to rapid technological change is critical, and AI technologies can be leveraged to assist both the existing and future workforce in successfully navigating career development and job transitions.
The report concludes that to ensure that AI delivers its greatest positive potential, stakeholders across public and private sectors need to collaborate, designing dialogues with governments and other interested parties. Whilst acknowledging the positive impact of AI, it should be noted that most emerging AI technologies are designed to perform a specific task and assist, rather than replace human employees. In terms of jobs created and displaced, an ability to adapt to rapid technological change is critical.