Building Responsible, Strategic, and Future-Ready AI Practices
Turn AI into a strategic advantage and learn to build internal confidence, reduce risk, and drive innovation through thoughtful AI integration.
This full-day, interactive workshop is designed for professionals across industries ready to move beyond AI awareness and into confident, strategic implementation. Participants will explore real-world use cases, evaluate AI tools for appropriateness and risk, and develop an AI Readiness Framework to guide responsible adoption within organizations.
Throughout the session, we’ll build a shared foundation of AI literacy while focusing on the practical challenges of oversight, integration, and long-term impact. Topics include data privacy, transparency, bias mitigation, and aligning AI use with organizational values. Through hands-on activities, collaborative scenario work, and structured reflection, participants will leave equipped with the knowledge, tools, and frameworks to lead with clarity, making informed, future-ready decisions about AI.
You will learn:
- You will learn how to confidently assess and integrate AI tools, balancing innovation with clear ethical and strategic frameworks.
- You will learn to identify risks, evaluate use cases, and build an AI governance plan tailored to your organization’s goals and values.
- You will learn prompting techniques, tool evaluation methods, and practical strategies to guide responsible AI use across teams.
So you will be able to:
- Identify opportunities and limitations of generative AI in your specific context
- Evaluate and select AI tools that align with your organization’s goals, values, and risk tolerance
- Lead AI integration with clarity and confidence
Benefits of Attending Leading with Generative AI
By attending this course, you’ll gain the knowledge, tools, and confidence to lead AI adoption responsibly and effectively in your organization. You’ll learn how to evaluate AI tools, identify high-value use cases, and navigate key concerns like bias, data privacy, and transparency. Through hands-on activities and real-world scenarios, you’ll develop a practical AI usage and governance plan tailored to your role — equipping you to make informed decisions, reduce risk, and support thoughtful, strategic innovation across teams.
Who should attend
This course is designed for professionals across roles and industries who are engaging with AI tools in their workflows — or soon will be. Ideal for:
- Managers and team leads guiding AI adoption
- HR, operations, and policy professionals shaping internal practices
- Communications, marketing, and content teams exploring AI tools
- Frontline staff who want to use AI confidently and appropriately
Whether you’re setting strategy, supporting teams, or using tools directly, this workshop will help you lead with clarity, reduce risk, and unlock the potential of AI in your organization.
The course is tailored to those with some familiarity with AI concepts but does not require advanced technical expertise.
Dates/Times
Wednesday, May 21, 2025, 9 a.m. to 4 p.m.
Location
Boise State Ron and Linda Yanke Research Park 220 E Parkcenter Blvd., Boise, ID 83706
Fees
$549 per person
Presenters
Britt O’Meara
Britt O’Meara is a first-year writing instructor at Boise State University and a consultant specializing in the ethical and intentional adoption of AI. O’Meara has supported hundreds of educators and industry professionals in establishing ethical frameworks for responsible AI use. She holds a Master of Arts in English Literature and a Bachelor of Arts in Multidisciplinary Studies, combining English, printmaking and nonprofit business, with a minor in English literature. Her diverse professional experience as an education director for a housing nonprofit and as a freelance front-end web developer, illustrator and writer informs her interdisciplinary approach to ethical innovation, blending creativity, technology and social impact.
Steven Hyde
Steven Hyde, Ph.D., is an assistant professor in the College of Business and Economics at Boise State University. His current work focuses on how artificial intelligence is transforming business education and practice. His research develops new approaches for studying executive behavior and decision-making using artificial intelligence, spanning three areas: Creating theory-driven machine learning measures of executive characteristics and behaviors, examining how AI is transforming business practice and education, and investigating how executive and board characteristics influence firm outcomes.