AIG-201
Responsible AI & Ethical Decision-Making
Ethical concepts behind responsible AI-enabled decisions.
Introduce ethical concepts influencing responsible AI-enabled decision-making.
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Learning path
For: Executives, governance teams, compliance professionals, technology leaders, risk owners, and public-sector decision-makers.
Practical governance education covering roles, responsibilities, acceptable use, risk, documentation, accountability, human-in-the-loop controls, and responsible AI practices.
5 courses · 9 hr total
Request this path for a teamStep 1
AIG-201
Ethical concepts behind responsible AI-enabled decisions.
Introduce ethical concepts influencing responsible AI-enabled decision-making.
Step 2
AIG-202
Understanding responsibility, oversight, and accountability for AI.
Governance roles, policies, decision authority and oversight for AI-enabled work.
Prerequisite: AIG-104
Step 3
AIG-204
Identifying and evaluating the consequences of an AI use case.
Teach learners how to systematically identify and evaluate potential consequences associated with an AI use case.
Prerequisite: AIG-202
Step 4
AIG-301
What managers become responsible for when AI enters the work.
Focus on responsibilities managers assume when AI becomes part of organizational work.
Prerequisite: AIG-202
Step 5
AIG-302
The questions leaders should be asking about organizational AI.
Executive accountability, AI portfolios, risk appetite, oversight and assurance.