Our Ethics Policy

At Strategic Risk.ai, we specialise in managing AI risks and promoting its beneficial use in a way that aligns with both ethical principles and practical realities. We recognise the transformative potential of AI, as well as its risks, from existential threats to everyday challenges such as bias, privacy violations, and unintended consequences in corporate applications.

Our ethics policy is grounded in ensuring that AI serves as a force for good while managing risks that could undermine its integrity, fairness, or sustainability.

1. Transparency and Accountability

• Open Risk Communication: We commit to making our risk assessments, methodologies, and insights openly available wherever possible, ensuring stakeholders have clear visibility into our decision-making processes.
• Clear Governance: We champion accountability by advocating for robust governance frameworks in all AI deployments, ensuring clarity on responsibility and oversight at every stage.
• Accessible Information: We use clear, down-to-earth communication to demystify complex AI risks and opportunities for our clients and partners.

2. Prioritising Ethical AI Use

• Avoiding Harm: We are committed to identifying and mitigating risks such as bias, discrimination, privacy violations, and the misuse of AI for harmful purposes.
• Tackling Bias and Fairness: We advocate for rigorous testing of AI systems to eliminate unintended bias and ensure equitable outcomes across diverse populations.
• Respect for Privacy: We support the use of AI in ways that respect individuals’ data privacy rights and promote compliance with global data protection regulations.
• Real-World Harm Mitigation: We address AI-related risks relevant to the corporate world, including unintended algorithmic outcomes, regulatory compliance failures, and reputational risks.

3. Acknowledging AI’s Potential and Risks

• Maximising Benefits: AI has immense potential to solve problems, improve efficiency, and enhance decision-making. We encourage the responsible use of AI to drive innovation, improve productivity, and solve societal challenges like climate change, healthcare inequities, and financial inclusion.
• Balancing Innovation and Risk: While we recognise the long-term existential risks posed by AI, we also focus on the tangible, short-term risks businesses face, such as operational errors, supply chain vulnerabilities, and customer trust.

4. Collaboration and Continuous Improvement

• Engaging Stakeholders: We work collaboratively with regulators, academia, clients, and technology leaders to create shared solutions to common AI challenges.
• Proactive Adaptation: AI risks evolve rapidly. We are committed to continuous improvement by staying informed on emerging technologies, frameworks, and regulations, including those from bodies such as NIST and the EU.
• Promoting AI Literacy: We strive to educate our partners and clients on both the risks and benefits of AI to ensure informed decision-making and shared accountability.

• Minimising Impact: We recognise the environmental costs of large-scale AI computation and advocate for energy-efficient solutions and sustainable AI development.
• Green AI Initiatives: We support and promote innovations in AI that address global environmental challenges, from climate modelling to energy optimisation.