AI+ Ethics
Responsible AI Use for Professionals
Responsible AI Starts With You — and the Team You Lead
Your team is using AI. Does your governance match the risk? Most AI ethics failures are not caused by bad intentions — they are caused by the absence of policy, accountability, and monitoring. This book gives senior professionals the GROUND Framework: six components that convert ethics principles into working governance at team and organisational level. Data policy, bias monitoring, accountability mapping, client disclosure, and a 90-day plan included. Built by an AI engineering firm for leaders who take responsibility seriously — and need the tools to back that up.
- The GROUND Framework — six components that convert ethics principles into working governance: who owns decisions, what you commit to, how accountability is assigned, how impact is monitored, what the rules are, and what you disclose
- Bias governance in practice — how to inventory AI uses that carry bias risk, build proportionate monitoring, and act when bias patterns emerge
- Data governance for AI — a classification system for the five types of data your team works with, and the policy rules that protect each
- Accountability when AI causes harm — the non-delegation principle, the accountability chain, and the incident response procedure every team needs
- High-stakes AI — what exceptional governance looks like when decisions affect employment, healthcare, credit, or justice
- The 90-day plan — a week-by-week action plan calibrated for small teams, large functions, regulated sectors, and resource-constrained organisations
Senior professionals and middle leaders — heads of department, team leaders, practice directors, senior managers — who are responsible for how their teams use AI and who bear accountability for the quality, fairness, and safety of AI-assisted work in their area. They are not a board-level executive (T4-03 covers that), and they are not looking for a practitioner's checklist (T3-66 covers that). They sit in the middle: they set the rules, build the practices, answer to senior leadership, and are responsible for a team of people who use AI every day. Professions include: heads of compliance, risk managers, HR directors, legal team leads, senior consultants, research directors, public sector service heads, NGO leaders, and any professional with responsibility for setting AI policy within their function.
Also for:Chief Ethics Officers, Data Protection Officers, and Governance professionals building an organisation-wide AI ethics programme. Senior practitioners who want the full ethical framework, not just the practitioner checklist. Executives studying AI ethics as part of a leadership or governance role who want the depth of T4-02 alongside T4-03.
- Define a coherent set of organisational AI ethics principles and convert them into operational policy using the GROUND Framework
- Identify and govern AI bias risks at the team and organisational level — from detection to monitoring to corrective policy
- Design an organisational data governance structure for AI that addresses privacy, consent, and GDPR compliance obligations
- Assign accountability for AI-assisted decisions across a team or function — including escalation paths and harm response procedures
- Build an AI ethics culture by embedding responsible practice into workflows, training, performance, and team norms
- Communicate organisational AI ethics commitments transparently to clients, users, regulators, and the public
- Diagnostic
- How Responsible Is Your Team's AI Use?
- Chapter 1
- The Ethics of AI Under Pressure
- Chapter 2
- What Responsible AI Actually Means
- Chapter 3
- Governing Bias and Fairness
- Chapter 4
- Privacy, Data, and Organisational Trust
- Chapter 5
- Accountability When AI Is Involved
- Chapter 6
- Building Your AI Ethics Framework — The GROUND Model
- Chapter 7
- High-Stakes AI — Where Ethics Obligations Are Highest
- Chapter 8
- Transparency, Disclosure, and External Trust
- Chapter 9
- Building an Ethical AI Culture
- Chapter 10
- Your 90-Day Responsible AI Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for leaders who take responsibility seriously — and need the tools to back that up.
