Artificial Intelligence

• Contractual issues: companies must adapt their contracts to take into account the specificities and risks associated with the use of AI (lawfulness of the training phase, data quality, bias and errors, security, confidentiality, etc.).
  It is therefore essential to asses, in advance, the real implications of the technology used, identify specific threats, carefully select suppliers, and work closely with them to incorporate clauses that are relevant to the operational use of AI tools and the scope for negotiation.
• Governance: companies must implement AI governance programs to control the risks associated with this technology and comply with the regulatory framework, while preserving both their commercial interests and the value created. Implementing dedicated tools, procedures and organizational structures — based, where appropriate, on existing governance mechanisms — will enable them to:

1. Define a strategy tailored to their use cases (resource allocation, reverse planning, etc.);
2. Map their AI systems and models, and identify applicable qualifications under the AI Act;
3. Assess risks (e.g. regulatory, liability, confidentiality, personal data protection, intellectual property, transparency) and implement appropriate remedial measures;
4. Ensure compliance with legal obligations, particularly with regard to documentation, transparency, reporting and quality management;
5. Train employees and raise awareness about this new technology and its associated best practices.

Our team will help you explore these issues in greater depth and tackle these new challenges in a pragmatic and operational manner.