AI Principles & Policy

Defining clear rules, responsibilities, and boundaries for AI use in your organization.

AI is already entering your workplace — formally or informally.

This course helps your team define, together, how AI should be used in your specific organizational context.

Rather than importing generic guidelines, you will:

• identify where AI creates value,

• surface ethical, social, legal, and cognitive risks,

• define what is permitted, sensitive, or off-limits,

• and establish shared principles that can evolve into an internal AI policy.

This is governance built from within — not imposed from outside.

What you walk away with

• A shared understanding of AI in your context

• Clearly articulated AI principles

• Defined boundaries and responsibilities

• Your organisation’s specific AI Policy Foundation Map: a clear, shared set of AI principles, structured so they can directly inform an internal AI policy.

• Alignment across leadership and operational roles

How it works

This course is delivered in a structured, facilitated team setting.

Through guided discussion, real-case exploration, and participatory exercises, your team will:

• examine current and emerging AI use in your organization,

• clarify risks and opportunities specific to your context,

• articulate shared principles and boundaries,

• and align on responsibilities and oversight.

In Practice:

• Work together to set the conditions for good AI governance in your organisation:
  1. You will define, together, how AI can and cannot be used in your organization.
  2. You will agree on clear principles that reflect your values, your responsibilities, and your context—creating a solid foundation for an internal AI policy, including boundaries, expectations and opportunities.

The process is collaborative and confidential.
At the end, your collective thinking is synthesized into a clear, usable policy foundation document.

Duration

Online: 2 × 2-hour sessions
On-site: 1 full day

Why this course is essential

AI adoption without clear principles leads to:

• shadow use,

• inconsistency,

• legal and reputational risk,

• loss of trust internally.

Setting governance early ensures:

• clarity before scale,

• innovation within boundaries,

• and shared ownership of AI decisions.

Without this step, AI integration remains fragmented and fragile.

For whom

• Leadership teams

• HR / People & Culture

• IT / Digital / Innovation leads

• Department heads

• Public sector administrators

• School leadership teams

Best delivered with a cross-functional internal group.

THIS WORKSHOP IS OFFERED AS A STAND ALONE OR AVAILABLE AS PART OF A LARGER AI GOVERNANCE PROGRAMME, “Working Responsibly with AI“, DEDICATED TO TEAMS WITHIN BUSINESSES, PUBLIC, EDUCATIONAL OR CIVIL SOCIETY ORGANISATIONS