Last updated: 28.11.2025
EU Artificial Intelligence Act – Key Compliance Considerations for E-Commerce
The EU Artificial Intelligence Act (Regulation (EU) 2024/1689) introduces a risk-based framework for AI systems, categorizing them into
- prohibited,
- high-risk,
- limited-risk,
- and minimal-risk levels.
For B2C e-commerce operators, understanding these categories is essential to ensure compliance.
Prohibited AI Practices in e-commerce
AI systems that employ manipulative or deceptive techniques to significantly distort consumer behavior are prohibited. 
This includes exploiting vulnerabilities due to
- age,
- disability,
- or economic situation,
- and practices like social scoring.
E-commerce platforms must avoid such systems to comply with the EU AI Act.
High-Risk AI Systems
AI applications used for credit scoring or evaluating customer reliability may be classified as high-risk system. Such systems require:
- conformity assessments,
- human oversight,
- and comprehensive documentation.
Transparency Obligations
AI systems that interact with consumers, such as chatbots or recommendation engines, must inform users that they are interacting with AI. This requirement is outlined in Article 50, ensuring transparency in AI-driven interactions.
Penalties for Non-Compliance ai regulation
Failure to adhere to the AI Act can result in substantial fines: up to €35 million or 7% of global annual turnover for prohibited practices, and up to €15 million or 3% for non-compliance with high-risk AI system requirements.
E-commerce businesses should assess their AI systems to determine their risk category and implement necessary compliance measures. Proactive adaptation to the AI Act’s requirements will mitigate legal risks and enhance consumer trust.
FAQ – AI Act and Artificial Intelligence Use in Commerce
What are the penalties under the AI Act for e-commerce and who enforces compliance requirements?
E-commerce businesses using artificial intelligence technologies are subject to EU AI Act fines if they fail to comply with the regulation. Non-compliance with prohibited practices, such as manipulative systems that distort consumer behavior, may result in penalties up to €35 million or 7% of global annual turnover. For violations involving high-risk AI systems – such as those handling consumer profiling, credit scoring, or managing critical infrastructure – fines may reach €15 million or 3% of turnover.
Enforcement of AI compliance requirements is overseen by national authorities, supported by the European AI Office, the AI Board, and the European Artificial Intelligence Board, all of which monitor serious incidents, systemic risk, and overall AI governance across the European Union.
Which AI practices are classified as unacceptable risk, and how does this relate to social scoring systems?
The AI Act prohibits AI systems that represent an unacceptable risk, including social scoring systems that evaluate individuals based on behavior, status, or personality traits.
These practices are considered violations of fundamental rights and are strictly banned to mitigate harmful AI-based manipulation and harmful AI-based exploitation.
Are real time remote biometric identification and emotion recognition systems permitted?
Real time remote biometric identification systems, especially those used in publicly accessible spaces or for law enforcement purposes, are heavily restricted under the AI Act. Their use is subject to legal authorization and oversight.
Similarly, emotion recognition systems are subject to additional scrutiny due to their potential to infringe on privacy and fundamental rights.
What transparency obligations apply to AI systems intended for user interaction and AI generated content?
According to Article 50 of the AI Act, AI systems intended to interact with users-such as generative AI systems and ai enabled video games – must clearly disclose that the interaction involves artificial intelligence.
AI-generated content must also be labeled accordingly to ensure trustworthy AI and prevent harmful manipulation.
What rules for general purpose AI apply under the EU AI Act?
The AI Act introduces specific rules for general purpose AI models and general purpose AI systems, recognizing their role across multiple sectors. These systems are subject to additional obligations related to transparency, risk management, and technical documentation.
The general purpose AI code outlines how providers must ensure safety and accountability across the ai value chain.
What are the ai literacy obligations for ecommerce teams under the AI Act?
The AI Act includes AI literacy obligations aimed at ensuring that ecommerce operators and end-users understand the use of AI. These obligations have entered into force to promote informed use and interpretation of AI outputs.
Ecommerce teams – particularly in medium sized enterprises (SMEs) – must be trained to deploy AI systems in such a way that protects consumers’ rights and supports trustworthy AI implementation across the ai value chain.
What are the implications of the AI Act for ecommerce platforms using certain AI systems?
Certain AI systems used in ecommerce – such as those analyzing internet or CCTV material, or personalizing experiences at scale—may fall under high-risk categories. These ai systems used for personalization, recommendation engines, or fraud detection must comply with strict conformity assessment, documentation, and oversight rules.
Generative AI models and general purpose AI code used commercially must also follow specific governance and transparency standards set by the European Union.
How does the AI Act support risk management in ecommerce AI deployments?
Most AI systems in ecommerce must include built-in mechanisms for risk management. This includes monitoring system behavior, addressing serious incidents, and ensuring systems act in such a way that does not create systemic risk or negatively affect consumer trust.
Ecommerce businesses must integrate safeguards throughout the AI lifecycle, particularly when deploying AI technologies in areas that influence purchasing decisions or data-driven content.
