Summary
AI is embedded in processes throughout your organization, from marketing to human resources to operations and part of everyday business workflows. The question is no longer whether your organization is using AI, it’s whether you’ve implemented the right guardrails to mitigate the risks that come with it. During this presentation, our presenters will walk through common, day-to-day uses of AI within organizations and explain the potential legal and operational risks you may already be exposed to — often without realizing it:
• Marketing and External Communications: AI tools increasingly shape advertising claims, branded content, images, and other public-facing materials. Without structured review processes and appropriate disclosure standards, organizations risk misinformation, intellectual property concerns, and regulatory scrutiny.
• Human Resources: AI is widely used in recruiting, screening, performance evaluations, and internal decision-making. These applications raise issues of bias, discrimination, transparency, and record keeping, yet employers remain responsible for outcomes.
• Enterprise Operations: AI intersects with vendor management, contract terms, data ownership, cybersecurity, and the creation and retention of company information. Without clear contractual protections, governance protocols, and a formal AI policy, organizations may face unintended data exposure, compliance gaps, and increased litigation risk.
This session focuses on practical, proactive guardrails, including structured review processes, clear disclosure standards, vendor and contractual protections, data governance and cybersecurity controls, and a documented, enterprise-wide AI policy. AI can drive efficiency and innovation but only when supported by intentional governance. The right guardrails don’t slow innovation; they protect it.