Automated Algorithmic Decisions: How the EU AI Act Protects You
How the EU AI Act Protects You from Algorithmic Decisions
More and more companies are using artificial intelligence algorithms to make important decisions about people's lives, such as screening job applicants, calculating loan interest rates, or suspending social media accounts. These processes often occur within the complete opacity of digital black boxes.
The widespread adoption of these technologies in 2026 demands strict oversight of input data and the decision-making logic of models to prevent forms of automated injustice.
The risk of being subjected to evaluations skewed by cognitive biases embedded in algorithms is steadily increasing across all international digital markets.
Demanding a logical explanation of automated decision-making processes is an inalienable right protected by EU law.
The absence of human oversight constitutes a clear violation of recent consumer protection directives.
Defense against arbitrary evaluations is necessary to ensure fair working and economic relationships.
The Risks of Algorithmic Discrimination and Data Bias
AI models are trained on historical data that may contain social biases. Consequently, the algorithm risks systematically discriminating against candidates based on gender, geographic origin, or age. Standard terms of use tend to absolve companies of responsibility for any unfair or discriminatory decisions.
Transparency Guarantees Under the 2026 AI Act
The new European regulation on artificial intelligence (AI Act) introduces the right for citizens to obtain a clear and understandable explanation of the logical criteria that led to an automated decision concerning them. Furthermore, it guarantees the right to request a human review of the algorithmic decision.
Classification of High-Risk AI Systems in ToS
Companies using artificial intelligence for sensitive purposes must document their processes in compliance with the risk levels established by the European Union, clearly indicating whether the systems are used for psychological or financial profiling of users.
How NakedPact Protects You from Automated Decisions
NakedPact analyzes the contracts of web platforms and SaaS software to detect whether they use high-risk AI-based decision-making systems, flagging unfair clauses that attempt to limit your right to request human operator intervention.
Adoption Rate of Decision-Making Algorithms and Profiling
Estimated percentage of commercial sectors using algorithms to evaluate customers or users:
Demand Transparency in Decision-Making Algorithms and Challenge Biases
The 2026 AI Act grants you the right not to be subjected to decisions imposed solely by automated systems. NakedPact helps you scan service terms of use and suggests how to file legal challenges in cases of unjust bans carried out by algorithms without human review.
The extension detects contractual clauses that violate the European AI regulation, providing you with legal complaint templates to submit to national supervisory authorities.
Demand algorithmic fairness and defend your digital dignity from arbitrary selections and exclusions made by machines.
NakedPact also allows you to monitor whether companies use emotion recognition algorithms or biometric systems during online recruitment processes—practices strictly regulated by the new European framework.
Consumer protection also involves continuously verifying the algorithmic logic embedded in commercial Terms of Service.
Enforce your right to transparency by requesting that the company send you the compliance report for the algorithm used.
Digital fairness allows no exceptions in favor of machines.
🛡️ Protect Your Rights with One Click
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Frequently Asked Questions (FAQ) on AI Act and Decisions
Can I refuse to have my resume evaluated by artificial intelligence?
Yes. Under the GDPR and the AI Act, candidates have the right to request that the final evaluation be carried out or supervised by a human recruiter.

NakedPact Editorial Committee
Article created by the NakedPact editorial team. Our mission is to analyze, simplify, and expose unfair terms and hidden risks in everyday contracts to protect citizens and consumers.
Sources and Legal References
- •UK Employment Rights Act 1996
- •US Fair Labor Standards Act (FLSA)
- •ILO C111 - Discrimination (Employment and Occupation) Convention, 1958
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