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Developing an Artificial Intelligence Policy that Works
- 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.
Overview of the webinar
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.
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, leading to unintended discrimination based on characteristics like 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.
Who should attend?
- HR Managers
- HR Supervisors
- HR Leaders
- Business Partners
- Human Resource Professionals
- Leadership Team
- Supervisors
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 their 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 in 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.
Faculty - Dr.Greg Chartier, SPHR, GPHR, SCP
Dr. Chartier is the Principal of HRinfo4u, a human resource consulting firm, and a well-known educator and speaker. As a consultant, he works with organizations to improve the effectiveness and efficiency of their human resource function. He has worked extensively in designing, developing, and implementing human resource programs, procedures, and systems for smaller and mid-size firms up and down the Hudson Valley.
Greg is a thought-provoking professional speaker and his wisdom and insights into management and leadership make him an electrifying speaker and seminar leader. His seminars are customized to reinforce the company mission, vision, values, and culture and the content is practical for team leaders, managers, supervisors and executives alike.