Responsible AI: Advanced
Customised to Sector/Roles
Advanced governance, testing, and operational deployment practices for senior stakeholders managing AI risk customised to sectors/roles.
Audience: Senior AI/ML leads, Risk, Internal Audit, Compliance, Legal, Product owners
* per HR/per FTE
Advanced governance, testing, and operational deployment practices for senior stakeholders managing AI risk customised to sectors/roles.
Audience: Senior AI/ML leads, Risk, Internal Audit, Compliance, Legal, Product owners
* per HR/per FTE
Content Highlights
- Advanced Governance Design – Build sector-specific governance structures for AI.
- AI Security Risk Awareness – Identify potential attack vectors and vulnerabilities.
- Applying the AI Harms Framework – Use structured methods to assess and mitigate harms.
- Bias & Accuracy Management – Apply tools and methodologies to correct inaccuracies and bias.
- Regulatory Compliance in Practice – Implement standards from EBA, FCA, ESMA into workflows.
- Operational Controls – Set safeguards for deployment and monitoring of AI systems.
- Third-Party Risk – Evaluate and manage vendor-provided AI.
- Continuous Monitoring – Establish KPIs and reporting lines for AI performance.
- Ethical Implementation – Apply ethics-by-design to system architecture.
- Board Escalation – Formalise high-level reporting and decision protocols for AI incidents.
This Course
Outcome Deliverables
-
Design and implement advanced AI governance models.
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Apply security, bias mitigation, and accuracy assurance techniques.
-
Ensure awareness of AI regulatory trends
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Manage third-party AI risks and continuous monitoring.
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Escalate AI risks to board level using defined pathways.
Responsible AI: Advanced
Price Range
Virtual
£3,800
(12-15 FTE)
In Person
£7,600
(12-15 FTE)
Or
£50
per HR/per FTE
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