How We Help
Socio-Technical Audits
Evaluate AI systems in real-world contexts, identifying behavioural risks, bias, safety concerns, and potential harms arising from human-AI interaction.
Human-AI Interaction Research
Generate evidence-based insights into human behaviour, trust, fairness, and AI adoption to inform responsible AI design and deployment.
Governance & Compliance
Establish the necessary governance frameworks, safeguards and operational controls.
Responsible AI in children’s EdTech: lessons from Unomundi
Applying developmental psychology and ethical AI governance to create safer AI experiences for children.
Read the Case StudyAssessing Risk
We assess AI-related risks within the broader socio-technical context, examining how AI affects people and how governance and controls address potential harms.
Context
- •Use case and deployment environment
- •Users and potential vulnerabilities
- •AI type and risk classification
- •Decision stakes and human autonomy
Behavioural Impact
- •Trust and adoption
- •Misinterpretation and automation bias
- •Behavioural change
- •Psychological harm
Governance
- •Accountability
- •Policies and escalation processes
- •Regulatory compliance and documentation
- •Socio-technical audits
Controls
- •Transparency and explainability
- •Human oversight
- •Safe fallback
- •Testing, monitoring and auditability
Behavioural risk in AI systems research findings
Explore the insights from 314 practitioners assessing the behavioural risks of their AI systems, revealing governance and operational control gaps.
Assess the behavioural risks of your AI system
Get a free behavioural risk profile and practical insights in around 10 minutes.
Take the Assessment
HCRAI actively contributes to the international responsible AI community.