The Responsible AI Boardroom™
Governing AI with Confidence, Accountability and Strategic Control
Download Course BrochureFlexible delivery options to suit your leadership team and organisational needs.
Duration
5 Days
Certificate
LOCEPX
Level
Executive
Format
In-Person
Delivery Mode
The course uses an executive, non-technical approach combining expert facilitation, governance frameworks, contemporary cases, risk scenarios, structured discussion and organisational application. Participants will examine AI governance from strategic, operational, people and reputational perspectives while considering practical questions of ownership, oversight and escalation. The methodology encourages critical executive challenge and enables participants to translate responsible AI principles into governance appropriate to their organisational context.
Online
Date: 16th – 20th Nov 2026
Location: Virtual
Fee: £3,495
Online
Date: 23rd – 27th Nov 2026
Location: Virtual
Fee: £3,495
Online
Date: 30th – 4th Nov 2026
Location: Virtual
Fee: £3,495
In Person
Date: 23rd – 27th Nov 2026
Location: London
Fee: £4,495
In Person
Date: 30th – 4th Nov 2026
Location: London
Fee: £4,495
In Person
Date: 2nd – 6th Nov 2026
Location: Dubai
Fee: £4,495
In Person
Date: 9th – 13th Nov 2026
Location: Madrid
Fee: £4,495
Online
Date: 7th – 11th Dec 2026
Location: Virtual
Fee: £3,495
Online
Date: 14th – 18th Dec 2026
Location: Virtual
Fee: £3,495
Online
Date: 21st – 25th Dec 2026
Location: Virtual
Fee: £3,495
Introduction
This LOCEPX Training course equips executives and senior leaders to establish the governance, oversight and accountability required for responsible enterprise AI. This LOCEPX Training course enables leaders to understand the strategic, operational, ethical and organisational risks associated with AI while creating governance that supports innovation without compromising responsibility, trust or executive control.
As AI becomes embedded in organisational processes and decision-making, responsibility cannot sit exclusively with technology teams. Leaders must understand who is accountable for AI decisions, how risks should be identified and escalated, where human oversight is essential and how organisations can balance innovation with appropriate controls. The Responsible AI Boardroom™ provides an executive-level approach to AI governance covering accountability, decision rights, risk, data, bias, transparency, human oversight and organisational assurance. Participants will examine how governance can evolve alongside rapidly changing AI capability without creating unnecessary bureaucracy or slowing valuable innovation. The programme enables leaders to ask stronger governance questions, establish clearer accountability and create an enterprise environment in which AI can be adopted confidently, responsibly and sustainably.
Governance and risk professionals
Strategy and transformation leaders
Functional and business unit leaders
Digital and technology decision-makers
Legal, compliance and assurance professionals
Participants will leave the Programme with stronger strategic capability and practical approaches that can be immediately applied within their organisations.
An executive AI governance framework
Clearer understanding of AI accountability
Practical AI risk assessment approaches
Stronger understanding of responsible AI principles
Clearer approaches to human oversight
Improved AI decision and escalation structures
Greater understanding of AI assurance requirements
A practical AI governance improvement agenda
Understand executive accountability for AI
Identify significant enterprise AI risks
Design effective AI governance structures
Apply responsible AI principles appropriately
Establish effective human oversight mechanisms
Strategic
Thinking
Enterprise
Leadership
Decision
Making
Core Areas
Understanding why AI governance is a leadership responsibility
The changing nature of executive accountability
Understanding enterprise AI governance
Distinguishing governance from technical management
Identifying organisational ownership of AI
Understanding accountability across the AI lifecycle
Establishing appropriate executive oversight
Defining the leadership principles for responsible AI
Understanding the landscape of AI-related risk
Strategic and operational AI risks
Accuracy, reliability and model limitations
Bias, fairness and unintended outcomes
Data, privacy and information risks
Cybersecurity and third-party considerations
Reputational and stakeholder implications
Developing an enterprise perspective on AI risk
Principles of effective AI governance
Establishing governance roles and responsibilities
Designing clear AI decision rights
Understanding executive, business and technology ownership
Developing proportionate governance based on risk
Establishing approval and escalation mechanisms
Integrating AI governance with existing organisational governance
Avoiding governance that unnecessarily restricts innovation
Understanding responsible AI principles
Transparency and explainability in organisational AI
Understanding human-in-the-loop approaches
Determining where human judgement must remain
Establishing appropriate levels of human oversight
Managing consequential AI-supported decisions
Monitoring AI performance and unintended outcomes
Building trust through responsible AI practices
Moving from governance principles to organisational practice
Embedding accountability across AI initiatives
Establishing AI monitoring and assurance
Understanding governance across third-party AI solutions
Developing executive reporting and oversight
Responding to emerging AI risks and capabilities
Evolving governance as AI adoption scales
Developing an organisational AI governance action plan
Register your interest and we'll let you know when new dates become available.