We specialise in ethical,
sustainable AI development & deployment
Minimising risk and maximising benefits
Ethical AI is
Not just responsible
Responsible AI minimises harms, while ethical AI maximises benefits – to people and the planet. Ethical AI deployment involves revisiting your organisational ethics to reduce risks and enhance the benefits of AI adoption. We begin by helping you (re)define your values.
01
More than compliant
Successful organisations adopting AI are both compliant and ethical. Regulatory complaince isn’t enough, though we will help you achieve it. Adopting ethical AI strengthens stakeholder engagement and marks you out as a leader in your industry, bringing strategic and financial benefits.
02
Sustainable
Sustainability is one of the core drivers of our work. Every project we undertake ensures your AI strategy and deployment are sustainable, minimising the planetary impact of your technology.
03
[ Step 1 ]
Creating your ethical AI roadmap requires input from diverse areas of your organisation
[ Step 2 ]
The challenge is to unite them to enhance your AI strategy
Two questions
you should
be asking
Who is responsible for developing and implementing ethical AI internally?
[Hint: It should involve more than the IT department]
How are you integrating ethics into your AI strategy?
How our experts can help
Compliance
We can assist with compliance with relevant legislation, such as the EU’s AI Act, GDPR, the US Executive Order on AI, and California’s AI Safety Bill, or the UK’s AI Standards Hub. We identify the right path for your needs.
We can also guide you through globally recognised AI standards, such as ISO/IEC 42001 for AI governance and NIST guidelines for trustworthy AI. Aligning your AI development with these standards mitigates risks and builds stakeholder trust.
Ethical assurance
We can ensure your AI model’s outputs are explainable and do not increase risks or harm to your organisation, its customers, and specific groups of people. We can audit and assess your existing AI ethics frameworks and related policies against best practice and AI standards related to bias, explainability, fairness, and accountability.
Risk
We can conduct technical stress-testing and critical assessments of your model’s performance to improve reliability, robustness, and security and identify gaps in the training data that may obstruct reliable performance. Red-teaming tests can identify and evaluate a broad spectrum of risks and vulnerabilities.
Reputational and operational risks related to unintended and malicious use cases can be identified and mitigated.
Values
We can work with your team to identify the core values that should guide your AI initiatives, reflecting your culture, sector or industry ethics, and long-term goals. Prioritising fairness, transparency, or sustainability, or developing ‘tools not creatures’, we help you establish a values-based framework that informs every stage of your AI development.
Education
As AI continues to transform industries it is essential to upskill your workforce, ensuring they are not only equipped with the technical skills needed to work with AI but also with an understanding of the ethical challenges and opportunities that come with it. We place a strong emphasis on education, offering tailored programs that empower your team to navigate the complexities of AI with confidence and integrity.