How to Create a Practical AI Policy

As a CEO or leadership team when developing your organization’s AI policy, there are several key considerations that you should take into account. This goes a bit beyond a cut, paste and pray strategy for how your organization approaches the use and disclosure of AI usage.

If you want a one-sentence AI policy:
{Organization} believes that AI provides a first, not final draft and everything created for our stakeholders must have a human in the loop.

Here are some questions to guide your decision-making:

Ethical considerations:
How will our organization ensure that the development and deployment of AI systems are guided by ethical principles, such as transparency, accountability, fairness, and non-discrimination? How does leadership respond to common objections to GPT tools?
Data privacy and security:
How will our organization collect, store, and process data in a secure and responsible manner to protect against cyber threats and ensure individual privacy rights are respected?
Bias and discrimination:
How will our organization prevent and address bias and discrimination in our AI systems, including through the use of diverse datasets and monitoring for bias throughout the development process?
Human oversight:
How will our organization ensure that there is human oversight and intervention when necessary, and that trained staff can monitor and intervene when AI systems make decisions that may have significant impacts?
Transparency:
How will our organization be transparent about the use of AI systems, including how they are developed, how they make decisions, and the data that they use?
Regulatory compliance:
How will our organization ensure that our AI systems are in compliance with applicable laws and regulations in our industry and location?
Risk management:
How will our organization identify and assess the risks associated with our AI systems, and develop plans to mitigate and manage those risks? How will your organization avoid copyright issues?
Training and education:
How will our organization invest in AI prompt training and education for staff, including training on how to use and interpret AI systems, as well as training on the ethical considerations associated with the use of AI? Will your organization allow the use of prompts that mimic living creators?
Sustainability:
How will our organization minimize the environmental impact of our AI systems, including through energy consumption associated with training and running the systems? Will you choose to acknowledge the eco footprint or possibly offset it?
Collaboration:
How will our organization foster collaboration and communication among different stakeholders, including technical experts, business leaders, and policymakers, to ensure that our AI systems are developed and deployed in a responsible and ethical manner?

By considering these questions and taking a thoughtful, proactive approach to AI policy development, CEOs can ensure that their organizations are well-positioned to leverage the benefits of AI while minimizing the risks and ensuring that AI is used in a responsible, ethical manner.