The authors explore different aspects of AI that require consensus, including ethical concerns, safety, and privacy. They also highlight the need for transparency, explainability, and accountability in AI systems. Finally, the article suggests that careful management practices, such as stakeholder engagement, risk management, and governance frameworks, can help increase consensus in AI development and deployment. |