Artificial intelligence law: challenges and solutions

As an innovative company in the field of artificial intelligence (AI), nexivis.ai faces the challenge of developing innovative technologies while taking into account the evolving legal framework. The AI Regulation, a comprehensive legal act of the European Union for the regulation of artificial intelligence, plays a central role in this. In this article, we look at the most important AI laws, the associated problems and how nexivis.ai is overcoming these challenges.

1 What is the AI Act?

The AI Act is a legal act of the European Union that aims to regulate artificial intelligence (AI). It is the world's first comprehensive law regulating the use of AI in the EU. The law is intended to improve the development and use of AI technology and create better conditions for users. Clear guidelines and regulations will ensure that AI systems are safe, transparent and ethical. This not only promotes consumer confidence, but also creates a uniform framework for companies that develop and use AI technologies.

2. background and objectives

In April 2021, the EU Commission proposed the first EU legal framework for AI. The law is intended to address the risks associated with the use of AI and ensure that AI systems respect fundamental rights, safety and ethical principles. The aim of the law is to promote trustworthy AI in Europe and beyond. By creating a harmonized legal framework, the EU aims to support innovation while minimizing the potential dangers that AI systems can pose. This should make Europe a global pioneer in the responsible use of AI.

1st EU AI Act

Problem: The EU AI Actalso known as the Artificial Intelligence Regulation, is the first comprehensive regulation for AI at a global level. It categorizes AI systems according to risk classes and sets strict requirements for high-risk applications. This could restrict the development and use of certain AI technologies.

Solution from nexivis.ai:

• Implementation of an AI governance framework with automated compliance checks
• Development of an AI-supported risk assessment tool that automatically classifies projects
• Adaptation of development processes to the requirements of the respective risk class

4. risk-based approach

The AI Act sets out obligations for providers and users. This concerns the risk posed by the AI system. There are four risk levels: unacceptable risk, high risk, limited risk and minimal or no risk. AI systems that pose an unacceptable risk are banned. High-risk AI systems are assessed before being placed on the market and throughout their life cycle. This risk-based approach makes it possible to define specific requirements and controls for different types of AI systems to ensure their safe and responsible use.

5. high-risk AI systems

Health, safety and fundamental rights. AI systems that operate in this area are considered high-risk. These AI systems are divided into two main categories: AI systems used in products that fall under EU product safety regulations and AI systems that fall into specific areas that must be registered in an EU database. These strict requirements are designed to ensure that high-risk AI systems are comprehensively tested and monitored to minimize any potential negative impact on society.

6. transparency requirements

Generative foundation models such as ChatGPT are not classified as high-risk, but must comply with transparency requirements and EU copyright law. Content that has been generated or modified with the help of AI - images, audio or video files (e.g. deepfakes) - must be clearly labeled as AI-generated. Users must know when they come across such content. These transparency requirements help to strengthen public trust in AI technologies and prevent misuse.

2 GDPR (General Data Protection Regulation)

Problem: The GDPR places high demands on the protection of personal data, which can make data processing and use more difficult for AI systems. The AI Act came into force on August 1 and will be fully applicable two years later.

Solution from nexivis.ai:

• Use of advanced encryption technologies
• Implementation of privacy-by-design principles in all AI projects
• Automatic anonymization of sensitive data using AI-supported algorithms
• AI-based recognition and classification of personal information

3. explainability of AI decisions

Problem: Many AI laws require greater transparency and explainability of AI decisions, which is a technical challenge for complex models. Compliance with these regulations is essential for AI developers in order to avoid legal uncertainties and possible locational disadvantages in Europe.

Solution from nexivis.ai:

• Development of explainable AI models with integrated interpretability tools
• Implementation of self-learning explainability algorithms
• Automatic generation of comprehensible explanations for end users
• Continuous improvement of interpretability through machine learning

4 Ethical implications of AI

Problem: AI systems may have unintended biases or ethical issues that are difficult to recognize and address.

Solution from nexivis.ai:

• Establishment of an interdisciplinary ethics board for AI development
• Implementation of automated fairness checks in the development process
• Continuous training and education on ethical AI practices
• AI-supported analysis of training data and model outputs for potential biases
• Compliance with the new AI regulation, which sets out clear rules for different risk levels to ensure safe and responsible use of AI systems

5. rapidly evolving legislation

Problem: AI legislation is developing rapidly, making it difficult to remain compliant and innovative at the same time. Providers of high-risk AI systems face particular regulatory requirements and challenges. These systems must meet specific requirements for risk management, data quality and human oversight in order to comply with the legal framework.

Solution from nexivis.ai:

• Development of an AI-supported compliance monitoring system
• Automatic updating of internal guidelines based on changes in legislation
• Flexible development framework that enables rapid customization

Through these proactive and automated approaches, nexivis.ai ensures that our AI technologies are not only innovative, but also legally compliant and ethical. We see the regulatory challenges as an opportunity to strengthen trust in AI and drive its responsible development. Our aim is to play a pioneering role in the development of AI systems that are both technologically advanced and legally and ethically sound. By continuously adapting and improving our processes and technologies, we ensure that nexivis.ai remains at the forefront of AI innovation in the future - always in compliance with applicable laws and ethical standards.

We hope you enjoyed our article on the topic: Artificial intelligence law.

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