AI Ethics & Risk
What Your Company Must Get Right

AI Ethics & Risk: What Your Company Must Get Right is a business-first course. It teaches professionals how to use AI aggressively enough to stay competitive, but carefully enough to protect the company from data exposure, biased outputs, copyright risk, regulatory problems, and reputational damage. The course treats AI ethics and governance as a performance issue, not a side conversation for legal teams only.

What this course covers

Why AI governance is a business-performance issue, not just a compliance requirement.
What categories of data should never be entered into unsanctioned AI tools.
Why hallucinations, bias, and unverified outputs create real professional and organizational risk.
How copyright, intellectual property, and indemnification issues affect AI-generated work.
How to use AI responsibly in day-to-day roles without losing speed, output quality, or business trust.
How to speak intelligently about AI risk with peers, employees, executives, and boards.

Modules

Module 1: Why AI Ethics Is a Business Issue

This module reframes ethics and risk away from abstract policy language and into business consequences. Learners see that AI mistakes can trigger lost trust, lost contracts, legal cost, workflow disruption, and reputational damage.

Module 2: The Business Case for AI Governance

This module focuses on why governance is what allows companies to scale AI instead of banning it after mistakes. It contrasts uncontrolled consumer-style use with enterprise environments designed around permissions, auditability, and policy controls.

Module 3: Data You Should Never Share with AI

This module gives learners a simple operating rule for data handling. It identifies the categories of information that should never be entered into unsanctioned tools, including personal and health data, confidential business information, client data, and regulated financial or legal records.

Module 4: Privacy, Regulation, and Market Access

This module shows that privacy failures are not theoretical. They can block access to markets, trigger regulatory action, and force tool providers or corporate users to change behavior quickly. Learners see why regional compliance matters if their company operates across jurisdictions.

Module 5: Hallucinations and Verification

This module teaches that AI outputs are predictions, not truth. Learners understand how hallucinations happen, why confident-sounding output is dangerous, and why verification is a professional obligation before AI-generated content enters any client, legal, financial, or strategic document.

Module 6: Bias and High-Stakes Decision Risk

This module addresses the ways AI can inherit historical bias and reproduce it in hiring, evaluation, promotion, lending, and other sensitive processes. The key lesson is that scale amplifies bias if human judgment and review are not built in.

Module 7: Copyright, IP, and Legal Exposure

This module shows that AI-generated content is not automatically safe to use, own, or commercialize. Learners examine copyright, authorship, training-data disputes, and the practical value of vendor indemnification for commercial and client-facing work.

Module 8: Use AI Responsibly and Stay Competitive

The final module turns risk awareness into a practical standard for daily work. Learners leave with a clear decision rule: use AI where it strengthens output, keep it away from protected data and unverified claims, and apply human judgment where the stakes are high.

Course features

SCORM 1.2 or 2004 Audio Narration Captions Transcript Knowledge Checks Locked Navigation Certificate

Frequently asked questions

Who should take AI Ethics & RiskWhat Your Company Must Get Right?

How long does the course take?

About 30 minutes, delivered across 8 modules with knowledge checks.

What does the course cover?

Why AI governance is a business-performance issue, not just a compliance requirement; What categories of data should never be entered into unsanctioned AI tools; Why hallucinations, bias, and unverified outputs create real professional and organizational risk; How copyright, intellectual property, and indemnification issues affect AI-generated work; How to use AI responsibly in day-to-day roles without losing speed, output quality, or business trust; How to speak intelligently about AI risk with peers, employees, executives, and boards.

Do learners receive a certificate?

Yes. The course issues a certificate on completion. It ships SCORM 1.2 or 2004 with audio narration, captions, transcript, and runs on the Provisant learning platform.