Today, as more global manufacturing companies are incorporating artificial intelligence ("AI") into both their manufacturing processes and the products they sell, they are grappling with several pressing issues. At Microsoft, our AI and Ethics in Engineering and Research (AETHER) Committee helped architect six baseline principles for AI development: fairness, reliability & safety, privacy & security, inclusiveness, transparency and accountability to frame the work of the company's AI designers and developers as described in detail in our book The Future Computed: Artificial Intelligence and its role in society. While researching our latest book in the "Future Computed" series, The Future Computed: AI and Manufacturing, we listened to manufacturing company executives, association and work force leaders, as well as front-line factory employees to understand their respective attitudes toward AI-related policies, and the role regulation can play in guiding the use of AI in manufacturing. With respect to the last point, the stakeholders we have connected with and listened to have all stressed that democratizing access to AI is a key priority. They also noted that smart public policy is critical for developing incentives to help all organizations, regardless of size, benefit from AI's potential.