AI Responsibility at Work™
Managing AI Use, Risk, Human Oversight and Accountability Across Everyday Work
Download Course BrochureFlexible delivery options to suit your leadership team and organisational needs.
Duration
5 Days
Certificate
Executive Certificate
Level
Manager / Emerging Leader
Format
In-Person / Virtual
Delivery Mode
Instructor-led Workshops, Discussions, Case Studies, Simulations
Online
Date: 30th – 4th Nov 2026
Location: Virtual
Fee: £3,495
Online
Date: 2nd – 6th Nov 2026
Location: Virtual
Fee: £3,495
Online
Date: 9th – 13th 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: Madrid
Fee: £4,495
In Person
Date: 9th – 13th Nov 2026
Location: Paris
Fee: £4,495
Online
Date: 28th – 1st Dec 2026
Location: Virtual
Fee: £3,495
Online
Date: 7th – 11th Dec 2026
Location: Virtual
Fee: £3,495
Online
Date: 14th – 18th Dec 2026
Location: Virtual
Fee: £3,495
Introduction
Responsible AI becomes real in the everyday decisions managers and their teams make. This programme equips managers to recognise the risks associated with workplace AI, establish appropriate boundaries and ensure that human judgement and accountability remain clear. Participants learn how to manage issues including accuracy, bias, privacy, confidentiality and inappropriate reliance on AI while creating an environment where employees can use AI productively, responsibly and within organisational expectations.
Middle & Experienced Managers
People Managers & Team Leaders
Functional & Departmental Managers
Managers Responsible for AI-Enabled Work
Participants will leave the Programme with stronger strategic capability and practical approaches that can be immediately applied within their organisations.
Understanding what responsible AI means for managers
Recognising risk in everyday workplace AI use
Establishing appropriate boundaries and controls
Maintaining meaningful human oversight and accountability
Creating responsible AI behaviours across teams
Recognise key risks associated with workplace AI use
Assess when AI activities require greater oversight
Establish clear and appropriate boundaries for team AI use
Maintain human judgement, ownership and accountability
Build responsible AI practices into everyday work
Responsible AI at Work
AI Risk & Boundaries
Human
Oversight
Manager
Accountability
Responsible Team Practice
Core Areas
Understanding responsible AI in practical management terms
Recognising how AI is entering everyday workplace activity
Understanding the manager's role alongside technology, risk and governance functions
Distinguishing permitted, inappropriate and potentially high-risk AI use
Understanding organisational AI policies and expectations
Recognising unmanaged employee AI experimentation
Identifying management accountability for AI-supported work
Establishing responsible AI management principles
Understanding accuracy and reliability risks
Recognising bias and fairness concerns
Understanding privacy and confidentiality
Protecting commercially sensitive information
Recognising security implications
Understanding intellectual-property considerations
Identifying risks created by inappropriate reliance on AI
Assessing AI use according to potential impact and consequence
Understanding what meaningful human oversight requires
Determining when AI-generated work must be reviewed
Establishing responsibility for verification
Challenging AI-generated recommendations
Identifying decisions that should remain human-led
Avoiding automation bias and over-reliance
Clarifying accountability when AI contributes to an outcome
Establishing appropriate escalation pathways
Setting clear expectations for employee AI use
Creating appropriate boundaries without preventing innovation
Helping employees recognise higher-risk situations
Managing AI use across everyday workflows
Responding to inappropriate AI practices
Building responsible experimentation
Creating psychological confidence to raise AI concerns
Reinforcing responsible behaviours through everyday management
Translating organisational AI principles into team practice
Identifying AI activities requiring stronger controls
Establishing proportionate review and approval
Monitoring emerging AI use within the team
Learning from AI incidents, errors and near misses
Updating management practices as AI capabilities evolve
Building responsible AI into team ways of working
Developing an AI Responsibility at Work™ action plan
Register your interest and we'll let you know when new dates become available.