Creating a Responsible Generative AI Use Policy

Creating a Responsible Generative AI Use Policy

1h 18mGeneral2024-12-09

Authors

Jim Sterne

Jim Sterne

Author and thought leader in the field of AI for marketing

Course details

In this course for change management leaders, risk specialists, IT, legal representatives, compliance professionals, HR, and communications professionals, instructor Jim Sterne provides a playbook for developing company-wide AI use policies. Learn how to create a robust Generative AI Adoption Policy in keeping within industry norms and corporate culture. Your new policy will satisfy your IT department's significant technical and security issues, as well as your legal department's privacy, copyright, and risk mitigation concerns. With a responsible policy in place, you can start educating staff, encouraging experimentation and garnering true value from generative AI tools. Senior executives will be reassured that your thoughtful, living Policy will elevate innovation and productivity without compromising the image or the integrity of your organization. Your staff will thank you for spelling out clear guidelines that allow for inventiveness.

Learning objectives
Recognize the necessity of a formal, internal generative AI policy.
Assess your company's AI readiness and aligning AI policy with company values and goals.
Identify your organization's legal and ethical risk tolerance.
Build consensus and drive adoption through communication and training.
Monitor, evaluate, and identify best use cases.
Accelerate adoption and improve return on investment.

Skills covered

Ethics and LawGenerative AIArtificial Intelligence for BusinessArtificial Intelligence (AI)Business Analysis and StrategyOne-Off

Concepts

Introduction

  • Creating an effective policy for responsible AI adoption
  • What to know before starting this course

Understanding the Need

  • The rise of generative AI in the workplace
  • Risks and challenges of unregulated AI use
  • The role of a generative AI policy

Laying the Groundwork

  • Assessing your company's AI readiness
  • Identifying key stakeholders
  • Aligning AI policy with company values and goals

Core AI Policy Components

  • Define acceptable use cases
  • Data privacy and security measures
  • Intellectual property considerations
  • Vendor and tool assessment criteria

AI Policy Development and Roll Out

  • Drafting the policy document
  • The review and approval process
  • Communication and training strategies

AI Use Monitoring and Policy Enforcement

  • Establishing monitoring mechanisms
  • Your AI ethics committee
  • Enforcement and consequences

A Living Document

  • Staying current with tech
  • Adapting to regulatory changes

Conclusion

  • Next steps on the path to success with AI
40,000 Toman