Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Paper page – HOComp: Interaction-Aware Human-Object Composition

DeepSeek Predicts DOGE, BONK And WIF Prices For End Of 2025

Jensen on tour, Elon on the hunt

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
European Commission AI

European Commission & AI: Guidelines on Prohibited Practices | Paul Hastings LLP

By Advanced AI EditorApril 7, 2025No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


As artificial intelligence (AI) continues to transform industries across the globe, the EU has taken significant strides to regulate its deployment, use and implementation and to mitigate associated risks.
The 2024 AI Act (Regulation (EU) 2024/1689), presented by the European Commission (EC) as “the first-ever comprehensive legal framework on AI worldwide,” creates a set of risk-based rules regarding specific uses of AI. It came into effect on August 1, 2024, and will be fully enforceable in August 2026.
Certain provisions (mostly prohibition on use) took effect in advance, on February 2, 2025. On February 4 and 6, 2025, the European Commission (EC) published guidelines on prohibited AI practices (here) and guidelines on AI system definition (here).
At the same time, the EC withdrew its proposed AI liability directive (February 11, 2025).

This alert highlights the key aspects of prohibited practices under Article 5 of the AI Act, identifies critical risks, offers actionable compliance insights and highlights enforcement mechanisms to ensure businesses remain ahead in this ever-evolving regulatory landscape.

Understanding the Scope of Prohibited AI Practices

The AI Act defines four different levels of risk:

Unacceptable risk. Practices involving AI systems which are deemed to pose unacceptable risks on the basis that they are incompatible with fundamental rights and EU values are prohibited.
High risk. AI systems posing high risks to health, safety and fundamental rights can be placed on the market, put into service or used, subject to fulfilling certain requirements and obligations.
Limited risk. AI systems which are subject to transparency requirements (i.e., AI systems which perform autonomous tasks, are intended to interact directly with an individual or create content viewed by an individual, but which do not qualify as “high risk”).
Minimal risk. AI systems posing minimal to no risk are not regulated. Providers can adhere to voluntary codes of conduct

The guidelines published by the EC on February 4, 2025, focus on the first category. Separate guidelines are expected for the second and third categories.

Prohibited Practices

The AI Act prohibits “manipulative, exploitative, social control or surveillance” AI-enabled practices, which by nature “violate fundamental rights and Union values.” Eight types of practices are identified, and sometimes illustrated by examples:

Harmful manipulation and deception: AI systems cannot deploy subliminal or deceptive techniques when they have the objective or the effect of materially distorting the behavior of a person or a group of persons.

Harmful exploitation of vulnerabilities: AI systems cannot exploit vulnerabilities inherent to certain individuals or groups of persons (e.g., age, disability, specific socio-economic situation) that make them particularly susceptible to manipulative and exploitative practices.

Social scoring: AI-enabled “social scoring” practices that assess or classify individuals or groups based on their social behavior or personal characteristics, and lead to detrimental or unfavorable treatment particularly when data comes from unrelated social contexts, are prohibited.

Individual risk assessment and prediction of criminal offences: AI systems cannot assess or predict the risk of a natural person committing a criminal offense based solely on profiling or personality traits and characteristics.

Untargeted scraping to develop facial recognition databases: AI systems that create or expand facial recognition databases through the untargeted scraping of facial images from the internet or closed-circuit television (CCTV) footage (including images from surveillance cameras operated in airports, streets, parks, etc.) are prohibited.

Emotion recognition: AI systems cannot infer emotions of individuals in the workplace and in educational institutions, except if intended for medical or safety reasons.

Biometric categorization for certain “sensitive” characteristics: Biometric categorization systems that categorize individuals based on their biometric data to deduce or infer race, political opinions, trade union membership, religious or philosophical beliefs, sex life or sexual orientation are prohibited.

Real-Time Biometric Identification for law enforcement purposes: The use of Real-Time Biometric Identification (RBI) systems in public spaces for law enforcement purposes (subject to limited exceptions exhaustively set out in the AI Act) is not allowed.

Responsible Actors

The AI Act distinguishes five categories of operators in AI systems: providers, deployers, importers, distributors and product manufacturers. The guidelines only focus on providers (i.e., developers of AI systems) and deployers (i.e., users of AI systems).

Exclusions

The AI Act does not cover:

National security and defense. AI systems exclusively used for military or national security purposes are excluded.
Judicial and law enforcement cooperation with third countries. Third-country public authorities or international organizations using AI for law enforcement or judicial cooperation, as long as they protect individual rights, are excluded.
Research and development (R&D). Activities related to R&D on AI systems or models before market placement or before placement into service are excluded.
Personal nonprofessional activity. AI systems deployed in purely personal, nonprofessional contexts are excluded (e.g., home security systems).
AI systems released under free and open-source licenses. Open-source AI systems (unless displaying unacceptable risk, high risk or being subject to limited risk rules) are excluded.

However, “dual-use” systems (e.g., systems designed for both civilian and military use) and testing in real-world conditions (i.e., temporary testing of an AI system in real-world conditions to assess and verify its conformity with the AI Act) are within the scope.

Enforcement and Penalties

Compliance with the AI Act will be overseen by 27 national market surveillance authorities designated by member states and the European data protection supervisor. Member states must designate their national market surveillance authority by August 2, 2025.

Key enforcement measures include:

Fines (not applicable before August 2, 2025) — for providers and deployers, violations can result in penalties up to €35 million or 7% of annual worldwide turnover, whichever is higher.
Withdrawal of the AI system from the market.
Restriction of the AI system’s availability.
Corrective actions to ensure the AI system is compliant.

Challenges

While a number of stakeholders have welcomed the AI Act and guidelines, viewing them as a step toward safeguarding fundamental rights in AI deployment, industry representatives have expressed concerns that complying with this additional complex regulation will necessitate important resources and could stifle innovation and competitiveness.

Key Actionable Compliance Steps for Providers and Deployers

Risk assessment. Conduct thorough risk assessments of AI systems used, deployed and/or developed.
Internal audits. Establish internal controls and regular audits to verify compliance.
Training and awareness. Educate employees and stakeholders.
Responsible data governance. Ensure lawful collection, processing and storage of data, particularly biometric and sensitive personal data.
Responsible data personalization. Ensure that AI-driven personalization respects fairness principles and avoids exploiting vulnerabilities inherent to certain individuals.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleNVIDIA debuts GR00T N1 AI model for humanoid robots
Next Article Using custom instructions in Operator
Advanced AI Editor
  • Website

Related Posts

BidMax Launches 0% Commission AI-Powered Real Estate Service to Support South Florida Condo and Homeowner Associations | Region

July 15, 2025

Chinese cities roll out AI curriculum in schools, linking learning outcomes to student evaluation

July 7, 2025

Google’s AI Overviews hit by EU antitrust complaint from independent publishers

July 6, 2025
Leave A Reply

Latest Posts

Barnes Foundation Online Learning Platform Expands to Penn Museum

Archaeologists Identify 5,500-Year-Old Megalithic Tombs in Poland

Phillips to Debut ‘First-of-its Kind’ Priority Bidding Structure

3,800-Year-Old Warrior’s Tomb Unearthed in Azerbaijan

Latest Posts

Paper page – HOComp: Interaction-Aware Human-Object Composition

July 23, 2025

DeepSeek Predicts DOGE, BONK And WIF Prices For End Of 2025

July 23, 2025

Jensen on tour, Elon on the hunt

July 23, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • Paper page – HOComp: Interaction-Aware Human-Object Composition
  • DeepSeek Predicts DOGE, BONK And WIF Prices For End Of 2025
  • Jensen on tour, Elon on the hunt
  • Microsoft snapped up dozens of Google DeepMind staffers in recent months: Report | Technology News
  • OpenAI CEO Sam Altman warns of an AI ‘fraud crisis’ – The Mercury News

Recent Comments

  1. 1win app download on Former Tesla AI czar Andrej Karpathy coins ‘vibe coding’: Here’s what it means
  2. 📃 ✉️ Pending Deposit: 1.8 BTC from new sender. Review? > https://graph.org/REDEEM-BTC-07-23?hs=60194a6753699dfb5804798d5843ffd0& 📃 on This Neural Network Optimizes Itself | Two Minute Papers #212
  3. 📉 📩 Pending Deposit - 1.0 BTC from unknown sender. Review? => https://graph.org/REDEEM-BTC-07-23?hs=16ed4f83e039fc01f975372e66ec05d7& 📉 on OpenAI seeks to make its upcoming ‘open’ AI model best-in-class
  4. 📊 📩 Pending Transfer: 1.8 BTC from unknown sender. Approve? >> https://graph.org/REDEEM-BTC-07-23?hs=8f64f5846f6d90e5a1ebb4bba272bbea& 📊 on Nvidia’s GB200 NVL72 Supercomputer Achieves 2.7× Faster Inference on DeepSeek V2
  5. 📅 ✉️ New Deposit: 1.8 BTC from new sender. Approve? > https://graph.org/REDEEM-BTC-07-23?hs=5719fe560af3b8c36c0a0976ea7a6f6b& 📅 on Meta, Booz Allen develop ‘Space Llama’ AI system for the International Space Station

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.