(preamble)
We should work together to prevent risks, and develop AI governance frameworks, norms and standards based on broad consensus, so as to make AI technologies more secure, reliable, controllable, and equitable.
We should promote the establishment of a testing and assessment system based on AI risk levels, implement agile governance, and carry out tiered and category based management for rapid and effective response. R&D entities should improve the explainability and predictability of AI, increase data authenticity and accuracy, ensure that AI always remains under human control, and build trustworthy AI technologies that can be reviewed, monitored, and traced.
We should promote the establishment of a testing and assessment system based on AI risk levels, implement agile governance, and carry out tiered and category based management for rapid and effective response.
We should promote the establishment of a testing and assessment system based on AI risk levels, implement agile governance, and carry out tiered and category based management for rapid and effective response. R&D entities should improve the explainability and predictability of AI, increase data authenticity and accuracy, ensure that AI always remains under human control, and build trustworthy AI technologies that can be reviewed, monitored, and traced.
R&D entities should improve the explainability and predictability of AI, increase data authenticity and accuracy, ensure that AI always remains under human control, and build trustworthy AI technologies that can be reviewed, monitored, and traced.