AI isn’t a lawless frontier — there are increasing regulations surrounding its use, particularly when it comes to data privacy, intellectual property, and consumer protections. Without a clear AI policy in place, your company could inadvertently violate these laws, resulting in hefty penalties or potential lawsuits.

AI systems, especially generative AI tools, often rely on vast amounts of data to function, and this data can include sensitive information. Without proper controls, employees may input proprietary or personal data into AI algorithms, exposing it to unauthorized access or data breaches.

AI models are only as good as the data they’re trained on. If the training data is biased, the AI's output may also be biased, potentially leading to unintended discrimination based on characteristics such as race, gender, or age. A corporate AI policy can enforce regular audits and bias reviews of AI-generated content, ensuring fairness and inclusivity.

AI has immense potential, but it also comes with risks. Whether it’s producing inaccurate content or replacing human decision-making inappropriately, AI can lead to ethical challenges. A corporate AI policy provides a clear framework for ethical AI use, guiding how 

AI is deployed and ensuring it enhances rather than harms your workforce and reputation. It sets boundaries for AI’s role in decision-making, protecting your organization from reputational harm or unethical practices.

Areas Covered    

• Identify key risks related to AI.
• Identify a set of responsible AI principles. 
• Create an AI governance structure: identify key governing organizations, their mandate, key roles, and responsibilities.
• Design an AI governance operating model.
• Evaluate policy gaps using a policy framework. 
• Use your findings to develop a roadmap and communication plan to govern AI in your organization.

Why Should You Attend

Most organizations default accountability for AI to IT or don’t assign accountability at all. Responsible governance requires the business to take accountability for its approach to AI.

Very few organizations have a formal and structured approach to AI governance:

AI can introduce or intensify risks that affect the entire organization, but most organizations haven’t integrated AI risks into their enterprise risk management framework.

Most organizations don’t assign accountability for AI, or it defaults to the CIO – and yet authority and true accountability remain with the business.

Policies are published without any controls to monitor and enforce compliance.

Topic Background

More than 80% of companies have adopted artificial intelligence (AI) in some way, and 83% of those companies consider AI a top priority in their business strategy.

AI is becoming more integrated into business processes every day, and IT, security, and compliance professionals are on the front lines of managing this dramatic shift. But as AI usage grows, so do the risks—whether it’s data privacy concerns, potential bias, or navigating complex regulations.

That’s why having a clear, comprehensive AI policy is essential to stay ahead of these challenges.