Menu

Build Trust in AI

Ethically harness AI to maximise benefits, minimise risks, and lead your industry with confidence.

Ethically harness AI to maximise benefits, minimise risks, and lead your industry with confidence.

We help our clients build trust in their AI solutions.

We equip and empower them to develop and deploy innovative and ethical artificial intelligence which manages risk and reduces the social and environmental harms linked to AI.

Our Expert Approach

The founding team formed out of the award-winning AI Ethics Masters at the University of Cambridge.

We specialise in ethical, sustainable AI development and deployment, minimising risk and maximising benefits. Aligning ethics with your AI strategy ensures compliance and increases stakeholder trust and engagement, positioning you as a leader in your industry. Our expertise in rapidly developing global AI regulations and standards guarantees responsible and effective AI strategies.

Our

Expert

Approach

When you get AI

right

[  COMPETITIVE ADVANTAGE  ]

Tick Enhanced decision making
Tick Improved operational efficiency
Tick Boost in profits

wron

g

[  RISKS  ]

cross Operational risks
cross Reputational risks
cross Hit to bottom line

Our Services

01 Audits & Certification

AI audits and certification are essential for evaluating the performance, reliability, and ethical robustness of your AI systems.

02 Governance & Assurance

Navigating a complex and fast-moving landscape of AI regulations is challenging, especially when you operate across different jurisdictions. Our global compliance experts can help.

03 Policy & Strategy

Our policy experts help clients develop comprehensive AI policies and strategies that align with their organisational goals, regulatory requirements, and ethical standards.

04 Security & Red teaming

We help you identify and address the unique risks associated with AI, ensuring that your systems are secure, resilient, and robust against threats.

05 Sustainability

As the adoption of artificial intelligence accelerates across industries, the importance of prioritising sustainable AI cannot be overstated.

06 Upskilling

We offer comprehensive training sessions designed to enhance your employees' understanding of AI, focusing on the ethical implications of AI technologies.

07 Vendor Selection

Selecting the right third-party vendors is critical to the success and integrity of your AI initiatives.

08 Values Mapping & Culture Alignment

We help you articulate your values in relation to AI, ensuring that deployment is not only innovative but aligned with your organisational culture and with broader societal and ethical considerations.

[  PUBLIC SECTOR  ]

Client

Story

A legacy UK public sector organisation recently formed an AI Council of key internal stakeholders. EthicAI ran a series of workshops on AI ethics and the international

governance landscape then provided a specialised team of policy experts to gather input and draft their organisation AI Strategy.

A legacy UK public sector organisation recently formed an AI Council of key internal stakeholders. EthicAI ran a series of workshops on AI ethics and the international governance landscape then provided a specialised team of policy experts to gather input and draft their organisation AI Strategy.

Our expert global team will empower you to develop ethical AI that meets your objectives and delights your stakeholders.

Our expert global team will empower you to develop ethical AI that meets your objectives and delights stakeholders.

We’ve been thinking

Ten steps to align AI with your corporate values

Ten steps to align AI with your corporate values

Artificial intelligence (AI) presents enormous opportunities for innovation, efficiency, and growth, but it also brings complex ethical challenges. For the C-suite, aligning AI with corporate values is about more than merely adopting technology responsibly. It’s about...

The ethical challenges of generative AI

The ethical challenges of generative AI

As organisations, both in the private and public sectors, explore the adoption of generative AI, ethical challenges present themselves. Far from academic; they impact real decisions around data security, privacy, bias, transparency, intellectual property, and even...