An advanced, Silicon Valley-origin "AI Employee Analytics" software used by the holding was simultaneously processing employees' corporate email tones, keyboard typing speeds, break durations, turnstile passes, and even intra-office location data (who chatted with whom and for how long). However, the goal was not merely to measure "productivity." In the cyber investigation initiated by the Board, it was revealed that the algorithm was operating in the background, labeling employees as "Highly Likely to Join a Union" or "Prone to Strike/Quit Soon" and reporting them to management.
1. The Anatomy of the Crime: What is Predictive Profiling?
The concept lying at the center of this historic fine issued by KVKK is what data science calls "Predictive Modeling," and what the law terms "Algorithmic Profiling." In the past, companies would learn whether a worker was unionized from state registry records or the worker's explicit declaration. But artificial intelligence can predict decisions with statistical probabilities that people haven't even fully made themselves yet.
- Text Sentiment Analysis: By measuring the frequency of word roots like "exhaustion," "injustice," and "fairness" in workers' internal communications, the algorithm generated a "burnout or anger" score.
- Behavioral Network Analysis: By combining the data of workers who frequently took breaks together or stood next to individuals already known to be unionized (or deemed risky), the algorithm generated a statistic such as, "This worker has an 84% probability of joining the union within 3 months."
Based on these algorithmic "red flag" reports, company management was firing workers who hadn't even joined a union yet under the guise of performance issues, or removing them from critical projects.
2. KVKK's Reasoned Decision: Violation of "Special Category Personal Data"
In their defense, the company's lawyers stated, "When employees joined the company, they signed explicit consent forms stating their data on corporate networks could be analyzed. The system is merely making a statistical prediction to increase productivity." However, KVKK rejected this defense with very harsh language.
Explicit Consent and the Boundary of "Special Category Data"
The decision text included the following statements: "Pursuant to Article 6 of Law No. 6698 (KVKK), a person's political thought, philosophical belief, religion, sect, or union membership constitutes 'Special Category Personal Data.' For an algorithm to deduce 'union tendencies' from individuals' ordinary actions (break times, correspondence) is to synthetically create special category data. An employee consenting to the reading of their emails does not mean they consent to their mental union tendencies being predicted and profiled through algorithmic fortune-telling. The principles of data minimization and purpose limitation have been severely violated."
3. The Machine Judging Human Will
This ruling is not just a data privacy issue; it is also a philosophical debate of "Free Will" vs. "Data Determinism."
Algorithms view people as nothing more than statistical probabilities. If the machine says, "People with profile X join the union at a rate of 80%," the company ends up punishing even the remaining 20% bracket (perhaps loyal workers who will never join a union) purely based on "probability." The law judges concrete actions, not probabilities. To leave a human unemployed because of the mathematical probability of an action they have not yet taken (the act of joining a union) means the collapse of modern labor law.
The Spectrum of AI in Workplace Surveillance
4. Global Context: What Does the European AI Act Say?
This September 3 ruling by KVKK is in full harmony with the European Union's newly implemented Artificial Intelligence Act (EU AI Act). The EU Act has completely banned the use of systems that perform biometric/behavioral profiling to predict employees' potential behavior and "Emotion Recognition" in workplaces, placing them under the "Unacceptable Risk" category.
Although Turkey currently lacks a direct artificial intelligence law, KVKK penalizing "Predictive Profiling" by interpreting existing data protection law so innovatively and broadly is a very important indicator that Turkey has caught up to Western standards in technology regulation.
5. Conclusion: Algorithmic Boundaries for Labor Peace
Companies will, of course, use technology to increase productivity. However, the worker's body, mind, and social relationships are not "hardware" for the company to optimize. This historic fine by KVKK has legally certified that AI assistants used in Human Resources departments can only be "data readers," not "digital detectives" reading employees' minds.
Expert Opinion: Burhan Doğuş Ayparlar
This 'Predictive Profiling' fine issued by KVKK on September 3 is a turning point in the history of Turkish labor law and data privacy. For decades, the asymmetric balance of power between worker and employer has been sought to be balanced by union rights and the weapon of strikes. However, Artificial Intelligence (especially behavioral analysis models) has pushed this balance of power in favor of the employer to an irreversible level of "hyper-surveillance."
Why is it so dangerous? In traditional profiling, a person's political view or union membership is detected through a concrete action (e.g., attending a meeting). But the 'Predictive Algorithm' used by the company evaluates the worker not as a perpetrator, but as a 'potential risk.' The worker might just be typing emails slowly because they are tired, or purely by chance drinking coffee with a unionized friend. When the algorithm combines this data and stamps 'High Union Risk' on that worker's forehead, there isn't even a concrete event the worker can defend themselves against. Because what is being judged is not an action, but a probability.
The law does not accept statistical prophecies. These AI models, which reduce humans to deterministic (fatalistic) robots comprised of past data, ignore humanity's 'freedom to act differently' and 'Free will.' KVKK's rejection of this algorithmic tyranny hidden under the guise of 'Explicit Consent' is a monumental step taken in the name of protecting human dignity. The technology fetishism of employers must stop at the border of employees' Mental Privacy. We must continue to remind through the law that algorithms are tools to serve us, not managers to rule us.
