AI in the Organization: Strategy, ethics, and practice BSYS 5100

Upon successful completion of this course, the student will be able to:

• ​Distinguish between AI types -- generative, agentic, predictive, rule-based -- and analyze how each is deployed across business functions.
• Explain how generative AI works, including failure modes, and evaluate the implications for organizational decision-making.
• Evaluate AI tools for organizational fit, considering capability, data risk, and appropriate use cases.
• Apply prompting strategies to generate relevant and appropriate outputs in professional and organizational contexts.
• Evaluate AI outputs critically, identifying errors, bias, and limitations relevant to a professional context.
• Apply responsible AI use principles to complex workplace scenarios involving competing considerations.
• Assess the ethical implications of AI adoption at organizational scale, including bias, privacy, accountability, and workforce impact.
• Assess data governance considerations when adopting AI, including data classification, residency, and risk.
• Define professional integrity in AI use and identify behaviours that constitute misuse in a workplace context.
• Explain the role of AI governance at the institutional, regulatory, and personal level.
• Apply a governance framework to an organizational AI scenario, identifying decision rights, risk controls, and policy gaps.
• Evaluate an organization's AI policies for gaps, risks, and alignment with regulatory requirements.
• Redesign a business workflow to incorporate AI, with clear rationale for where human judgment remains essential.
• Develop and communicate a recommendation on an organizational AI adoption decision, addressing capability, risk, governance, and stakeholder concerns.

Effective as of Spring/Summer 2026