Data Protection Compliance:
- Adhere to the UK General Data Protection Regulation (UK GDPR) and Data Protection Act 2018.
- Conduct Data Protection Impact Assessments (DPIAs) for AI systems that process personal data.
- Ensure transparency about data processing and provide individuals with rights to access, rectify, and erase their data.
Fairness and Ethical Use:
- Develop procedures to address and mitigate risks of algorithmic bias.
- Use diverse and representative data sets for training AI to prevent discriminatory outcomes.
- Ensure fairness in AI decision-making processes and regularly audit AI systems for compliance.
Transparency and Explainability:
- Clearly document AI decision-making processes.
- Communicate the purpose, logic, and outcomes of AI systems to users in an understandable form.
- Make information about AI system governance and performance metrics accessible to stakeholders.
Accountability and Oversight:
- Establish clear roles and responsibilities within the organisation for AI governance.
- Implement internal controls and external audit mechanisms to monitor AI systems.
- Develop policies that outline procedures for addressing AI-related incidents or complaints.
Risk Management:
- Identify potential risks associated with the deployment of AI technologies.
- Implement robust risk management strategies to mitigate identified risks.
- Review and update the AI risk assessment regularly to adapt to technological advancements and changes in regulatory standards.
Stakeholder Engagement:
- Engage with stakeholders, including employees, customers, and regulators, to gather feedback on AI deployment.
- Train employees on the ethical use of AI and its implications for their roles.
Legal and Regulatory Compliance:
- Monitor and adapt to ongoing changes in AI regulation at the national and international levels.
- Ensure compliance with sector-specific regulations that may impact the deployment of AI technologies.
Review and Update:
Document all changes and maintain an audit trail for compliance purposes.
Mark Seemann – CEO
Date: 14/03/2025
Regularly review and update the AI policy to reflect changes in technology, business objectives, and regulatory landscape.
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