Ethics and Bias in Artificial Intelligence: Executive Briefing
Regulators are tightening AI governance. Boards are demanding accountability. This 18-minute briefing cuts through the noise—you’ll understand where bias enters AI systems, why it matters commercially, and what your leadership needs to know before deploying AI at scale.
AIU.ac Verdict: Ideal for executives, product leads, and compliance officers who need credible grounding in AI ethics without deep technical prerequisites. The brevity is both strength (fits a busy schedule) and limitation (surface-level coverage; follow with deeper technical courses if you’re building AI systems).
What This Course Covers
The course maps the ethical landscape: how bias enters training data, model design, and deployment decisions; real-world case studies of high-profile AI failures; and frameworks for spotting and reducing harm before launch. You’ll learn the business case for ethical AI—brand risk, regulatory exposure, and talent retention—plus practical governance checkpoints your organisation should implement.
Ben Weissman structures this for decision-makers: no code, no maths, just clarity on what boards and customers now expect. You’ll leave with a vocabulary to challenge vendors, audit internal AI projects, and position your organisation as a responsible adopter rather than a reckless experimenter.
Who Is This Course For?
Ideal for:
- C-suite and board members: Need strategic context on AI governance and reputational risk without technical depth.
- Product and engineering leaders: Responsible for AI feature rollout; must understand bias risks and mitigation before deployment.
- Compliance and legal teams: Building AI governance frameworks and need to articulate ethics requirements to technical teams.
May not suit:
- Data scientists and ML engineers: Seeking hands-on bias detection techniques or algorithmic fairness methods; this is strategy, not implementation.
- Beginners exploring AI fundamentals: No prior AI knowledge assumed, but the course assumes you’re already evaluating or deploying AI systems.
Frequently Asked Questions
How long does Ethics and Bias in Artificial Intelligence: Executive Briefing take?
18 minutes. Designed for busy leaders; watch in one sitting or split across two coffee breaks.
Do I need technical AI experience?
No. Ben Weissman teaches concepts, not code. If you’ve heard of ChatGPT and understand your organisation uses data, you’re ready.
Will this help me audit AI vendors?
Yes. You’ll learn the right questions to ask about training data, model testing, and bias monitoring—essential for vendor due diligence.
Is this enough to build an AI ethics policy?
It’s an excellent starting point for understanding the landscape and risks. Pair it with your legal and compliance teams for policy specifics.
Course by Ben Weissman on Pluralsight. Duration: 0h 18m. Last verified by AIU.ac: March 2026.
