Carnegie Mellon - ITI_GlobalAIPrinciples_032321_v3.pdf

The document outlines key recommendations for global AI policy by ITI, covering areas such as innovation, public understanding, security, regulation, and global engagement. It stresses the importance of building a skilled AI workforce, investing in R&D, using available data, and fostering innovation. Responsible design, cybersecurity, privacy protection, and ethical data use in AI systems are also highlighted. Governments are encouraged to regulate AI to address specific harms, establish common parameters, adopt a risk-based approach, and engage in international collaboration.