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AI GOVERNANCE

What to consider for governing the use of AI in your organisation

Governing the use of AI in your organisation can be a complex and challenging task. Many organisations struggle with identifying potential risks, ensuring ethical practices, staying compliant with regulations, and managing the environmental impact of their AI systems. These challenges can often be overlooked or underestimated, leading to significant issues down the line.

Discover what you need to consider to govern AI effectively and responsibly across your organisation with the guidance of our experts.

Compliance and legislation: what you need to know

Blog

How AI legislation and compliance in the UK compares with the rest of the world

Explore how the AI regulatory landscape is evolving across the UK, EU and US. What are the key differences that you need to be aware of?

Learn how the UK’s pro-innovation stance, the EU’s comprehensive AI Act, and the US’s shift towards AI de-regulation are shaping the future of artificial intelligence.

Expert insights from Head of Service Architecture, Tristan Watkins, will help you stay ahead of the curve on compliance, security and international co-operation. Ensure you understand the implications of the latest regulation on your AI project.

Managing the evolving risk landscape

Blog

What's changed in AI risk?

The dynamic AI risk landscape has continued to evolve over the past few years. What exactly should an organisation be concerned about at this time?
Head of Service Architecture, Tristan Watkins, provides a detailed view of the current picture in our blog – get his take on what’s changed in AI risk, including:

Data loss: risks of data being shared with public generative AI services
Readiness: challenges in integrating generative AI with your data
Data sovereignty: complexities of data residency and sovereignty
DeepSeek: privacy concerns with DeepSeek’s R1 model
Agentic AI: the risks and rewards of AI that can take action

Copilot readiness: where you need to invest your time

Take a deep dive into the critical aspects of preparing your organisation for the integration of generative AI technologies with an exclusive whitepaper authored by Tristan Watkins, “What does Copilot Readiness really mean?“

Since the surge in interest in generative AI in early 2023, organisations have been eager to leverage these capabilities with their own data. However, this enthusiasm is tempered by concerns about data security, business transformation, and potential gaps in foundational readiness. This white paper provides a detailed exploration of these concerns, collectively referred to as “Copilot Readiness,” and offers a comprehensive framework for addressing them.

Key points:

Security: Assess the risks associated with bringing generative AI capabilities to your data, focusing on permissions and potential gaps in security.
Technology: Evaluate the technical requirements and administrative controls needed for Microsoft 365 Copilot, ensuring compatibility and readiness.
Business Change and Adoption: Understand the impact of AI on your organisation’s workflows and create a pathway for user adoption and integration.
Content Governance and Structure: Review and improve your information architecture and content management processes to enhance the quality and accuracy of AI-generated insights.

This is an essential resource for organisations looking to manage AI risks effectively and ensure a successful AI deployment. Dive into the detailed assessments and practical advice to prepare your organisation for the future of AI.

PODCAST

The challenge of safe and ethical AI | The Technology Boardroom

Watch this episode of The Technology Boardroom podcast, where our experts discuss the challenge of ensuring AI is ethical and safe, including the principles of responsible AI and its impact on end users, security, and usage, with an emphasis on the need for responsible AI across the tech industry.

Get insights into global perspectives, corporate responsibilities, and how companies like Microsoft are implementing guardrails and controls to ensure responsible AI development.

Talk to the AI experts

Ensure the safety and security of your organisation's data

Make the challenge of managing your organisation’s AI governance more manageable with the guidance of our cyber security experts. Ensure you’ve identified potential risks, ensured you’re practices are ethical and remain compliant with the latest regulations.

Avoid coming across issues down the line – speak to our experts to discover what you need to consider for effective and responsible AI governance.