Description: In 2018, Google published a set of AI Principles as an internal policy guiding the development of artificial intelligence. This is a corporate example of ORRI governance in practice. The Google AI Principles commit to objectives like socially beneficial AI, avoiding unfair bias, being accountable to people, and incorporating privacy and security by design. They also set governance boundaries (e.g., Google pledged not to design AI for weapons or human rights violations). Google describes these principles as “a guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.” To implement them, Google established review processes – teams must consult an internal ethics board (the Advanced Technology Review Council) for sensitive projects, ensuring governance oversight of high-stakes innovations.
Key Resources: Google’s AI principles are publicly posted on its AI website, and Google’s Responsible AI reports detail how they operationalize them. For instance, the Google AI Principles page highlights commitments to transparency and accountability, and their Responsible AI Progress Report discusses tools and methods (like model cards for transparency, bias audits, etc.) that enforce these principles. External analyses (e.g., in Wired or MIT Tech Review) have also examined Google’s governance structure for AI, including challenges and improvements made over time.
https://ai.google/responsibility/principles/#:~:text=A%20guiding%20framework%20for%20our,in%20our%20AI%20development%20process
How It Helps Researchers: Within Google (and to an extent, industry-wide), these principles and the associated governance processes help engineers and researchers by providing clear ethical guardrails. A Google researcher can flag concerns to the review council, or use the company’s fairness and privacy toolkits, knowing that responsible innovation is management-backed. It also influences the broader research community by setting a benchmark – academic and corporate researchers often reference Google’s principles when arguing for certain ethics or governance measures in AI projects. Overall, this corporate governance model shows researchers that even in fast-moving tech development, taking time for ethical review, being transparent about limitations, and engaging with external stakeholders (Google now consults civil society on some issues) are feasible and beneficial for sustainable innovation.
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