AI ETHICS & COMPLIANCE
AI is thriving, and with its growing popularity, debates about the moral implications and societal impact of these technologies have intensified. In Europe, regulatory frameworks have been established.
AI ethics imposes responsibilities for AI developers and users. It encompasses the development and implementation of principles, guidelines, and best practices to ensure that AI systems are designed, deployed, and used in ways that are fair, transparent, accountable, and beneficial to humanity.
Developing safe and transparent AI systems will be of great value as these technologies multiply. An AI ethics specialist can focus on the ethical, social, and legal implications of artificial intelligence technologies.
EUROPEAN ARTIFICIAL INTELLIGENCE ACT
The new European Artificial Intelligence act imposes regulations for AI systems. It affects AI developers, providers and those who use it for commercial purposes. The act classifies AI systems according to the risk they represent for people’s rights and imposes different obligations to each category.
National authorities are being created and it is expected that further regulations are imposed. The AI act establishes several compliance requirements. We can help you navigate the new regulations whether you develop, provide or use an AI system.
TRANSPARENCY
AND PRIVACY
One of the main principles the act establishes for operating AI systems is transparency. People need to be informed when they are interacting with AI systems and when images, audios and videos have been made or manipulated by AI. This requires drafting adequate notices, policies and contracts.
Competent authorities need to be notified of AI systems and in some cases they might be required to go through evaluation and certification.
All evaluations need to be properly documented and sometimes reported to authorities.
As national authorities are created further regulations are expected.
Privacy regulations are often fully applicable to AI systems. Whether at training or when implementing an AI system, personal data is usually processed. Ensuring privacy regulations are being complied with is crucial to promote transparency, avoid sanctions and prevent damages.
SERVICES
AI COMPLIANCE.
We can assist you in being compliant with the new AI regulations whether you are developing, commercializing or utilizing an AI system.
This includes:
• Drafting adequate notices and contracts.
• Documenting AI system characteristics and performance.
AI ETHICS SPECIALIST.
We can provide you with an AI ethics specialist whose role is to ensure that AI systems are developed, deployed, and used in ways that are ethical, fair, and aligned with societal values.
Important areas are:
- Developing Ethical Frameworks and guidelines.
- Identifying and mitigating biases.
- Implementing transparency, making processes understandable for users.
- Promoting accountability mechanisms.
- Ensuring Privacy and Security.
- Promoting Human Rights.
- Ensuring Regulatory Compliance.
AI PRIVACY COMPLIANCE.
As privacy experts we can guide your AI system development or implementation through privacy compliance requirements. Personal data must be processed according to applicable privacy regulations. These may vary for each cycle of your AI technology, but data protection principles must always be considered.
Here are some examples for each cycle of the AI system:
Training: During model training, personal data can be used. Having an adequate legal base for this processing is crucial. For example collecting consent properly or justifying legitimate interest when possible. Purpose limitation, data minimization, storage limitation, integrity and confidentiality are required practices.
Validation: Real personal data can be used to verify the model’s performance. Once again, a valid legal base for this processing is required. Accuracy of this personal data is key. Once again, purpose limitation, data minimization, storage limitation, integrity and confidentiality are key principles for safe an legal personal data processing.
Exploitation: Personal data from the data subject is used to obtain results or make decisions about them. Data subject might have the right to request human intervention in the decision-making process (“Human in the loop”). Accountability, fairness and transparency become important practices.
Data Protection by Design and by Default: Considering data protection issues from the design phase of the AI system and throughout its lifecycle is key for implementing appropriate security and legal measures. It reduces costs and minimizes risks of sanctions or reclamations.
