Introduction

This document, "E_AI Policy Nimble Institute BV.docx," outlines the policy of Nimble Institute B.V. regarding the use of Artificial Intelligence (AI) in our services and operations. This policy aligns with our mission, vision, and values, ensuring that AI technologies are used responsibly and ethically in all engagements with our clients.

Mission and Vision Alignment

Nimble Institute B.V. is dedicated to navigating change and simplifying IT. Our vision emphasizes the digitalization of processes, enabling people to perform their tasks better, faster, and more enjoyably. AI technologies are a pivotal part of our strategy to provide future-proof solutions that challenge the status quo and drive organizational success.

Core Principles

1. Ethical Use: AI solutions provided by Nimble Institute must adhere to ethical guidelines, ensuring fairness, transparency, and accountability.
2. Data Privacy and Security: All AI applications must comply with GDPR, the European AI Act, and other relevant data protection regulations to safeguard personal data.
3. Human-Centric Approach: AI is designed to augment human capabilities, not replace them. Our focus is on empowering people through intelligent automation.
4. Transparency: We commit to transparent communication about the use and limitations of AI in our solutions.
5. Continuous Improvement: We constantly monitor and improve our AI technologies to ensure they meet the highest standards of performance and ethics.

AI Implementation Guidelines

1. Development and Deployment:
   • AI technologies must be thoroughly tested for accuracy, bias, and potential unintended consequences before deployment.
   • All AI models should be explainable and interpretable to the extent possible to ensure stakeholders understand how decisions are made.
   • Compliance with the European AI Act, ensuring AI systems are categorized and managed according to their risk levels.
2. Data Management:
   • Personal data used in AI applications must be anonymized and encrypted.
   • Data collection practices must be transparent, and users should be informed about how their data will be used.
   • Adherence to the data governance requirements as outlined in the European AI Act.
3. User Interaction:
   • AI systems should be designed with user-friendly interfaces to facilitate easy interaction and adoption.
   • Users should have the ability to override AI decisions where appropriate.
4. Monitoring and Accountability:
   • AI systems must be regularly audited to ensure they operate within the ethical and legal boundaries.
   • Clear accountability structures must be in place for the development, deployment, and management of AI technologies.
   • Implementation of post-market monitoring systems to comply with the European AI Act's requirements.

Compliance and Training

• Compliance: All AI initiatives must comply with the established regulations and internal policies of Nimble Institute B.V., including the European AI Act.
• Training: Employees involved in AI projects must undergo regular training on ethical AI practices and data protection standards, including updates on new regulations such as the European AI Act.

Specific Principles Based on Softwarezaken.nl Example

1. No Sharing of Confidential Information: Do not share personal, sensitive, or confidential information with AI systems to prevent data misuse.
2. Verification of AI Outputs: Always verify AI-generated content for accuracy and relevance before use.
3. Respect for Intellectual Property: Ensure AI usage does not infringe on copyrights or imitate existing artists' works without authorization.
4. Transparency in AI Usage: Clearly disclose when AI-generated content is used in communications or decision-making processes.
5. Human Oversight in Decision-Making: Maintain human oversight for AI-driven decisions, particularly those impacting individuals’ lives or rights. Ensure mechanisms for human review and correction of AI decisions are in place.
6. Avoidance of Bias and Discrimination: Regularly test AI systems to prevent and mitigate any form of bias or discrimination.

Review and Updates

This AI policy will be reviewed and updated annually or as needed to reflect new advancements in technology, changes in regulations (including the European AI Act), and feedback from stakeholders.