GLF advises boards, founders, and technical teams on AI risk, governance, and regulatory readiness, including privacy and data protection considerations. This work typically arises where organisations are deploying AI systems into regulated markets, responding to customer or regulator scrutiny, or needing to evidence responsible AI practices without slowing delivery.

With the complexity and uncertainty of AI regulation, but with technology and capabilities increasing exponentially, how do you protect your business and creations while limiting potential exposure? This work typically involves advising on:

• AI governance: Advising on appropriate AI governance structures, including whether and how to align with recognised frameworks (such as NIST AI RMF or ISO 42001), without over-engineering early-stage systems.
• AI policies: Advising on AI-related policy needs and helping teams calibrate policies to business objectives and risk appetite, rather than defaulting to generic templates.
• AI risk management: Identifying and assessing key AI-related risks, including regulatory, privacy, IP, bias, and output liability, and advising leadership teams on prioritisation and decision-making. 
• AI ethics & responsible use: There are various ethical considerations when it comes to artificial intelligence. To a large degree, you can determine these for yourself. However, some of the common themes include openness & transparency; accountability; fairness; using personal data with integrity; and engaging key stakeholders. 
• Navigating complex regulations: AI regulation, globally and locally, is increasingly complex, with new laws, and seemingly countless frameworks, guidelines, and white papers. We help you stay on side and manage your critical AI risks.

The world of artificial intelligence is a tremendous opportunity for commercial and technological advancement, but it also presents numerous challenges that need to be considered and addressed in a purposeful and mindful way. We help you understand and document the risks and rewards, so you can make informed decisions about A.I.