Flexible, Pro-Innovation Governance Strategies for Artificial Intelligence - Getting governance balance right—and ensuring that

One of the best roles for the government is to act as a facilitator of ongoing for risk and promoting the dialogue and a convener of multi-stakeholder discussions aimed at hammering out potential for algorithmic systems to advance global voluntary, consensus-driven best practices for algorithmic systems in an iterative industrial competitiveness and fashion as problems develop. [...] Almost every discussion of technological governance today alludes to the challenge posed by the so-called pacing problem, which refers to the quickening pace of technological developments and the inability of governments to keep up with those changes.24 Another name for the pacing problem is the 19. [...] Decentralized Governance and Soft Law: Conceptions and Characteristics Some scholars worry about the prospect of “self-regulation in a vacuum of government input” and wonder whether it “usurps the traditional role of public regulators.”44 While such concerns are understandable, the definitional issues and pacing problem challenges described above are driving the development of new governance mecha. [...] More specifically, AI development needs to be guided amorphous term and that it is helpful to by the principles of “ethics by design” and the concept of keeping “humans in the view it “as part of a loop” to ensure that important values are protected. [...] The Growth of AI Ethical Codes and Best-Practice Frameworks A recent AI report from a top university noted that one of the most important trends in the field of algorithmic governance was “the rise of AI ethics everywhere.”83 The report summarized the explosive growth of ethical frameworks and guidelines for AI that has been occurring throughout academia and industry: Research on fairness and tran.