Tech • IA • Crypto
Screens, AI: Are we addicted? With Prof. Benyamina
3/10TL;DR
French addiction specialist Amine Benyamina outlines how digital tools, especially AI and fast-paced content, can trigger addiction mechanisms, urging regulation focused on education and safeguards rather than outright bans.
KEY POINTS
Defining addiction in the digital age
Addiction is characterized by loss of control, dependence, and harmful consequences on personal or social life. It can involve substances like alcohol or behaviors such as gambling. Among non-substance addictions, only gambling disorder is officially recognized in international classifications, while digital uses remain under evaluation despite similar clinical patterns.
Brain mechanisms mirror substance addiction
Substances like alcohol or cocaine activate the brain’s reward system, releasing dopamine. Studies show that certain behaviors, including excessive gaming or screen use, stimulate the same neural circuits. This biological overlap supports concerns that digital environments can produce comparable addictive effects.
Algorithms and rapid content amplify risk
Platforms rely on “capture algorithms” designed to maximize engagement. Fast, repetitive stimuli—such as short-form videos or high-speed video games—intensify reward responses. This “flash effect,” similar to nicotine intake, increases the risk of compulsive use by constantly stimulating the brain’s reward loop.
AI seen as a new, powerful trigger
Generative AI systems may deepen engagement because they adapt to users, creating personalized, interactive experiences. This “relief-like” interaction makes them more immersive than traditional search tools. Their responsiveness and constant availability can reinforce dependency, even among previously low-frequency users.
Youth particularly vulnerable
The human brain continues developing until around age 22–23. Disruptions such as poor sleep or excessive stimulation during this period can have long-term effects. This explains the policy focus on young people, whose neurological development is more sensitive to addictive patterns.
Regulation aims to signal, not prohibit
Proposed measures like restricting social media under age 15 are intended as symbolic safeguards rather than strict enforcement tools. The goal is to raise awareness among families, schools, and platforms, not to impose blanket bans that are difficult to लागू or enforce in practice.
Economic incentives drive platform design
Tech companies operate on profit-driven models, optimizing engagement through design and content. Without regulatory frameworks such as Europe’s Digital Services Act (DSA) and Digital Markets Act (DMA), vulnerable users are more likely to be exposed to harmful patterns.
Education seen as the primary solution
Long-term responses emphasize digital literacy, teaching users to understand algorithms, manage screen time, and critically assess content. Programs in schools aim to build “digital citizenship” rather than eliminate technology use.
Addiction affects all age groups
While policy focuses on youth, digital addiction is observed across populations, including older adults who may develop compulsive behaviors after late adoption of technology. The issue is widespread but manifests differently depending on age and context.
Simple safeguards recommended
Practical strategies include tracking time spent, diversifying activities beyond screens, and maintaining real-world interactions. Regularly stepping outside digital environments helps preserve balance and prevent loss of control.
CONCLUSION
Digital technologies offer major benefits but activate the same reward systems as traditional addictions, making balanced use, education, and targeted regulation essential to limit harm without stifling innovation.