Inferensys

Glossary

Prohibited Practice

An AI application explicitly banned by regulation, such as the EU AI Act, due to its unacceptable risk profile, including social scoring and real-time remote biometric identification in public spaces.
Risk analyst performing AI risk assessment on laptop, risk matrices visible, casual office risk session.
UNACCEPTABLE RISK CATEGORY

What is Prohibited Practice?

A prohibited practice is an AI application explicitly banned by regulation due to its unacceptable risk profile, posing a clear threat to fundamental rights and societal values.

A prohibited practice is an artificial intelligence application deemed to pose an unacceptable risk to safety, livelihoods, and fundamental rights, and is therefore banned outright by regulatory frameworks such as the European Union's Artificial Intelligence Act. These are not high-risk systems requiring mitigation; they are specific use cases whose deployment is considered a violation of core values, including human dignity and non-discrimination.

The EU AI Act identifies a finite list of prohibited practices, including real-time remote biometric identification in publicly accessible spaces for law enforcement (with narrow exceptions), social scoring systems that lead to detrimental treatment, and AI that exploits vulnerabilities of persons due to their age or disability. The regulation also bans the use of AI for cognitive behavioral manipulation that causes physical or psychological harm.

Unacceptable Risk

Core Characteristics of a Prohibited Practice

Under the EU AI Act, a prohibited practice is an AI application deemed to pose an unacceptable risk to fundamental rights and is therefore banned from the European market. These are not subject to mitigation but to outright prohibition.

01

Subliminal Manipulation

The deployment of an AI system that deploys subliminal techniques beyond a person's consciousness or purposefully manipulative or deceptive techniques to materially distort behavior.

  • Mechanism: Exploits cognitive biases or sensory stimuli a person cannot perceive.
  • Effect: Causes or is likely to cause physical or psychological harm.
  • Example: Inaudible voice commands embedded in audio to influence purchasing decisions without the user's knowledge.
02

Exploitation of Vulnerabilities

The use of an AI system that exploits vulnerabilities of a specific group of persons due to their age, disability, or a specific social or economic situation.

  • Target: The elderly, children, or persons with mental or physical disabilities.
  • Objective: To materially distort the behavior of a member of that group.
  • Outcome: Causing or likely to cause that person or another person physical or psychological harm.
03

Social Scoring

The placing on the market, putting into service, or use of AI systems for the evaluation or classification of natural persons over a certain period of time based on their social behavior or known, inferred, or predicted personal characteristics.

  • Scope: Covers both public authorities and private actors.
  • Condition: The social score leads to detrimental or unfavorable treatment that is either unrelated to the context where the data was generated or is unjustified or disproportionate.
  • Example: A government system that assigns a 'trustworthiness' score based on online activity, leading to denial of travel visas.
04

Real-Time Remote Biometric Identification

The use of AI systems for real-time remote biometric identification in publicly accessible spaces for the purpose of law enforcement.

  • Technology: Typically involves facial recognition against a watchlist.
  • Prohibition Scope: Covers the 'real-time' capture and matching of biometric data.
  • Strict Exceptions: Narrowly defined exceptions exist for targeted searches for specific crime victims, prevention of imminent terrorist threats, or localization of suspects for specific serious crimes, but require prior judicial or independent administrative authorization.
05

Predictive Policing

The use of AI systems to make risk assessments of natural persons to predict the likelihood of them committing a future criminal offense.

  • Basis: Prohibited when based solely on the profiling of a natural person or on assessing their personality traits and characteristics.
  • Distinction: This does not ban AI systems used to support human assessment of a person's involvement in a criminal activity that is already based on objective, verifiable facts directly linked to a crime.
06

Emotion Recognition in Workplaces

The placing on the market, putting into service, or use of AI systems to infer the emotions of a natural person in the areas of workplace and education institutions.

  • Exception: The prohibition does not apply where the use is for medical or safety reasons, such as monitoring a pilot's fatigue levels.
  • Rationale: The scientific basis for inferring complex emotional states from biometric data is contested, and the practice poses high risks of discrimination and psychological pressure in power-imbalanced environments.
PROHIBITED AI PRACTICES

Frequently Asked Questions

Clear, technical answers to the most common questions about AI applications banned under the EU AI Act and other emerging regulatory frameworks.

A prohibited practice is an artificial intelligence application explicitly banned by the European Union Artificial Intelligence Act due to its unacceptable risk to fundamental rights, safety, and societal values. These practices are deemed to contravene Union values and are forbidden from being placed on the market, put into service, or used within the EU. The prohibition applies regardless of whether the system is developed by a public or private entity. The EU AI Act categorizes AI risk into four tiers—unacceptable, high, limited, and minimal—with prohibited practices occupying the unacceptable risk tier. The European Commission enforces these bans through market surveillance authorities, with penalties for non-compliance reaching up to €35 million or 7% of global annual turnover, whichever is higher. The list of prohibited practices is not static; the Act includes mechanisms for the Commission to update the list as new threats emerge through delegated acts.

REGULATORY CLASSIFICATION

Prohibited vs. High-Risk AI Practices

A comparative analysis of AI practices banned outright under the EU AI Act versus those permitted but subject to strict conformity assessments and ongoing oversight.

FeatureProhibited PracticeHigh-Risk Practice

Regulatory Status

Explicitly banned; cannot be placed on the market, put into service, or used in the EU.

Permitted only if conformity assessment is passed, CE marking is affixed, and ongoing monitoring is in place.

Risk Level

Unacceptable risk to safety, livelihoods, and fundamental rights.

Significant risk to health, safety, or fundamental rights that can be mitigated.

Human Oversight Requirement

Not applicable; practice is illegal regardless of oversight.

Mandatory human-in-the-loop or human-on-the-loop mechanisms with override capability.

Conformity Assessment

Not applicable.

Mandatory third-party or internal conformity assessment before market placement.

Transparency Obligation

Not applicable.

Mandatory model card, datasheet, and clear user-facing disclosure of AI interaction.

Example Application

Real-time remote biometric identification in publicly accessible spaces for law enforcement.

AI system for evaluating creditworthiness or establishing eligibility for essential public services.

Penalty for Non-Compliance

Fines up to €35,000,000 or 7% of global annual turnover, whichever is higher.

Fines up to €15,000,000 or 3% of global annual turnover, whichever is higher.

Post-Market Monitoring

Not applicable.

Mandatory continuous monitoring and incident reporting to national supervisory authorities.

EU AI ACT

Examples of Prohibited AI Practices

The EU AI Act explicitly bans certain artificial intelligence applications deemed to pose an unacceptable risk to fundamental rights, safety, and societal values. These prohibitions target manipulative, exploitative, and indiscriminate surveillance systems.

01

Subliminal Manipulation

Deploying an AI system that deploys subliminal techniques beyond a person's consciousness to materially distort their behavior in a manner that causes or is likely to cause physical or psychological harm. This targets systems using imperceptible audio or visual cues to bypass rational decision-making.

  • Mechanism: Flashing images or masked audio signals.
  • Key Distinction: The manipulation must be subliminal and harmful.
02

Exploitation of Vulnerabilities

Using an AI system that exploits vulnerabilities of a specific group of persons due to their age or disability to materially distort their behavior in a harmful manner. This targets predatory systems designed to manipulate children or individuals with cognitive impairments.

  • Target Groups: Minors, persons with mental or physical disabilities.
  • Example: A toy chatbot designed to encourage dangerous dares.
03

Social Scoring Systems

The use of AI systems by public authorities for the evaluation or classification of the trustworthiness of natural persons over a certain period based on their social behavior or known personality characteristics, leading to detrimental treatment. This bans generalized, government-led social credit systems.

  • Prohibited Context: Detrimental treatment unrelated to the original data context.
  • Scope: Applies to both public and private actors if the scoring leads to disproportionate social consequences.
04

Real-Time Remote Biometric Identification

The use of real-time remote biometric identification systems in publicly accessible spaces for the purpose of law enforcement, unless strictly necessary for specific, exhaustive exceptions. This prohibits mass surveillance via live facial recognition in public squares.

  • Technology: Live facial recognition, gait analysis.
  • Exceptions: Targeted searches for victims of kidnapping, prevention of imminent terrorist threats, or localization of serious criminal suspects.
05

Predictive Policing of Individuals

AI systems used to assess the risk of a natural person committing a criminal offense based solely on profiling or personality traits. This bans pre-crime assessments derived from behavioral patterns rather than objective, verifiable facts directly linked to criminal activity.

  • Prohibited Basis: Profiling, past behavior, personality traits.
  • Allowed Basis: Objective and verifiable facts directly linked to a specific criminal activity.
06

Emotion Recognition in Workplaces

The use of AI systems to infer the emotions of natural persons in the areas of workplace and education institutions, except where strictly justified for medical or safety reasons. This prohibits the continuous monitoring of employee or student affective states.

  • Prohibited Context: Employee performance reviews, student engagement monitoring.
  • Exception: Therapeutic medical devices or safety-critical operator fatigue detection.
Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.