• Foster Innovation and Open Development
To better understand the impact of AI and explore the broad diversity of AI implementations, public policy should encourage investment in AI R&D. Governments should support the controlled testing of AI systems to help industry, academia, and other stakeholders improve the technology.
• Fuel AI innovation: Public policy should promote investment, make available funds for R&D, and address barriers to AI development and adoption.
• Address global societal challenges: AI powered flagship initiatives should be funded to find solutions to the world’s greatest challenges such as curing cancer, ensuring food security, controlling climate change, and achieving inclusive economic growth.
• Allow for experimentation: Governments should create the conditions necessary for the controlled testing and experimentation of AI in the real world, such as designating self driving test sites in cities.
• Prepare a workforce for AI: Governments should create incentives for students to pursue courses of study that will allow them to create the next generation of AI.
• Lead by example: Governments should lead the way on demonstrating the applications of AI in its interactions with citizens and invest sufficiently in infrastructure to support and deliver AI based services.
• Partnering for AI: Governments should partner with industry, academia, and other stakeholders for the promotion of AI and debate ways to maximize its benefits for the economy.
Published by Intel in AI public policy principles, Oct 18, 2017