AIoT and the Illusion of Control: When Devices Start Making Decisions

Amid accelerating technological advancements, humans are gradually delegating decisions to intelligent systems, opening opportunities for efficiency while raising new questions about control, ethics, and the future of human-machine relations. Digital devices are no longer merely “obedient” in executing commands; they are now capable of learning, analysing, and even making decisions independently. This phenomenon, known as Artificial Intelligence of Things (AIoT), represents a technological leap that combines artificial intelligence with networks of connected devices—and is quietly transforming the way the world operates. We may still feel like we are in control of the technology. However, gradually—often unnoticed—the devices around us are beginning to take over some of those decisions. From system recommendations to automated machine responses, the world is moving towards greater autonomy. It is at this point that AIoT becomes relevant to question, not just to understand. From Connectivity to Autonomy For years, the Internet of Things (IoT) has been understood as a network of interconnected devices. However, connectivity is merely the initial stage. AIoT introduces a new dimension: the ability of systems to interpret data and act without awaiting human instructions. In this context, AIoT is not merely a technological evolution but a paradigm shift. Systems are no longer reactive but predictive and even autonomous. Recent studies show that integrating AI into IoT can increase operational efficiency by 30-40% in the industrial sector. Edge Computing and Distributed Intelligence This change does not occur in a vacuum. One of the main enablers of AIoT is edge computing, where data processing occurs near its source. This reduces latency while paving the way for real-time decision-making. This concept gives rise to what is known as distributed intelligence—intelligence that is no longer centralised but spread across various points in the system. In practice, this is evident in autonomous vehicles, digital health systems, and smart city infrastructure. What makes AIoT even more complex is its ability to process various types of data simultaneously. With multimodal AI integration, systems can now understand voice, images, and sensor data within a single analytical framework. The implications are significant. Machines do not just “see” data; they begin to “understand” context. This changes the human-technology relationship—from users to interactive partners. Efficiency vs Control However, behind the efficiency offered, fundamental questions arise: to what extent do humans still hold control? AIoT operates on probabilistic logic, not certainty. Decisions made by the system are based on data patterns, not ethical considerations or social values. Herein lies what can be termed the illusion of control—we feel we are managing the system, when in fact some decisions have been delegated. The risks of AIoT are not always technical. Beyond cybersecurity and data privacy issues, there are more subtle challenges: algorithm transparency and decision accountability. When an automated system makes decisions impacting humans, who is responsible? This question remains an open debate in many countries. Education and Readiness for the New Generation In this context, higher education bears significant responsibility. For instance, the Informatics Study Programme at BSI University Pontianak Campus is strategically positioned not only to teach technology but also to shape critical thinking towards it. Students need to understand that building AIoT systems is not just about technical efficiency but also social and ethical implications. This demands a more integrative learning approach—combining technology, data, and human-centred design aspects. At the local level, AIoT opens opportunities that are often not yet maximised. West Kalimantan, with its geographical and economic characteristics, could serve as a living laboratory for AIoT implementation. From precision agriculture to sensor-based environmental monitoring, this potential is not only technologically relevant but also strategically important for development. Facing the Autonomous Ecosystem What needs to be realised is that AIoT is not merely a tool. It is a system that will shape how humans work, interact, and even make decisions. Future societies will not only use technology but must be able to “negotiate” with it—understanding limits, risks, and implications. AIoT brings us to deeper questions beyond mere innovation: what is humanity’s position in an increasingly autonomous technological ecosystem? Without conceptual and ethical preparedness, we risk becoming passive users of increasingly intelligent systems. However, if managed properly, AIoT can become a tool to strengthen human capacity—rather than replacing it.