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What are the four risks of EU’s AI regulation?

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What are the four risks of EU’s AI regulation?

The landscape of artificial intelligence (AI) regulation is evolving, and the European Union (EU) is at the forefront with its groundbreaking EU AI Act. At the core of this comprehensive regulatory framework is a risk-based approach that classifies AI systems into four distinct categories: unacceptable-risk, high-risk, limited-risk, and minimal/no-risk. Let’s delve into the intricacies of this approach and its implications for the development and deployment of AI technologies within the EU.

1- Unacceptable-Risk AI Systems: A Ban on Threats to Fundamental Rights

The EU AI Act takes a firm stance against AI systems that pose unacceptable risks to fundamental rights. This includes a prohibition on certain applications such as biometric categorization, facial recognition, emotion recognition in workplaces and educational institutions, and predictive policing. The Act aims to safeguard EU values and citizens from the potential threats posed by these intrusive technologies. Notably, biometric identification systems are banned in principle, with narrow exceptions for law enforcement purposes, subject to prior judicial authorization and strict limitations.

2- High-Risk AI Systems: Mandatory Compliance and Safeguards

AI systems categorized as high-risk, due to their potential harm to health, safety, fundamental rights, environment, democracy, and the rule of law, face stringent regulatory measures. Comprehensive mandatory compliance obligations cover areas such as risk mitigation, data governance, documentation, human oversight, transparency, robustness, accuracy, and cybersecurity. These high-risk AI systems undergo conformity assessments, with an emergency procedure allowing law enforcement agencies to deploy them in urgent situations before completing the assessment. Additionally, fundamental rights impact assessments and citizen complaint rights contribute to a more transparent and accountable AI ecosystem.

3- Limited-Risk AI Systems: Minimal Transparency Obligations

Certain AI systems, falling under the limited-risk category, include chatbots, specific emotion recognition systems, and those generating deepfakes. These systems face minimal transparency obligations, emphasizing a balanced regulatory approach that recognizes their lower potential impact on fundamental rights. Transparency requirements include informing users when they are interacting with an AI system and marking synthetic content in a machine-readable format.

4- Minimal/No-Risk AI Systems: Encouraging Innovation with Voluntary Codes of Conduct

AI systems that do not fall into the aforementioned risk categories, such as recommender systems and spam filters, are classified as minimal/no-risk. The EU AI Act promotes the free use of these systems, fostering innovation. Furthermore, voluntary codes of conduct are encouraged, providing a flexible framework for industry stakeholders to contribute to responsible AI practices.
The EU’s Risk-Based Approach to AI Regulation, as outlined in the EU AI Act, represents a milestone in addressing the ethical and societal challenges posed by AI technologies. By categorizing AI systems based on their risk levels, the EU aims to strike a balance between fostering innovation and safeguarding fundamental rights. As businesses and developers navigate this regulatory landscape, adherence to the mandatory compliance obligations for high-risk AI systems and the encouragement of ethical practices for minimal/no-risk systems will be crucial for a harmonious coexistence of AI and society within the EU.

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