As the CEO of Exotel, a company at the forefront of AI solutions, I frequently contemplate the intricate relationship between artificial intelligence and human behaviour. A recent thought I shared on LinkedIn sparked an engaging discussion, which I believe merits a deeper exploration in the form of this blog post. The core of this thought revolves around the unpredictability of human behaviour and how it parallels the challenges we face in developing AI systems.

Unpredictability in Human Behaviour and AI

Human behaviour is inherently unpredictable. Our actions are influenced by a myriad of factors, including emotions, experiences, cultural contexts, and spontaneous decision-making processes. Given a specific situation and context, it is often impossible to predict with absolute certainty how a human will react. This unpredictability is a fundamental aspect of our nature, contributing to the richness and complexity of human interactions.

When we delve into the realm of artificial intelligence, we encounter a similar conundrum. AI systems, no matter how advanced, are ultimately designed and trained based on data derived from human behaviour. If we cannot predict human actions with complete accuracy, it seems unreasonable to expect AI to do so. This raises a crucial question: If AI cannot predict human behaviour with certainty, how should we govern and guide its actions?

The Role of Laws and Objective Functions in AI

In human society, laws exist to regulate behaviour, providing a framework within which individuals are expected to operate. Laws disincentivize certain behaviours by imposing consequences, thereby encouraging people to act in socially acceptable ways. This legal framework is essential for maintaining order and protecting the rights of individuals.

In the context of AI, the equivalent of human laws can be thought of as objective functions. These functions define the goals and constraints within which an AI system operates. By setting these objective functions, we can guide AI behaviour, ensuring it aligns with our ethical and societal norms. Just as laws prevent humans from engaging in undesirable activities, objective functions can be designed to prevent AI from learning or executing harmful actions.

The Job of Lawmakers: Creating AI Success Functions

The responsibility of lawmakers in the age of AI extends beyond traditional legislative duties. They must also consider how existing human laws can be translated into successful functions for AI. This involves identifying the underlying principles and objectives of our legal system and encapsulating them into objective functions that can be embedded into AI systems.

For example, laws that protect privacy could translate into objective functions that limit the extent to which AI systems can collect and process personal data. Anti-discrimination laws could inform objective functions that ensure AI systems do not develop biased algorithms. By developing these success functions, lawmakers can create a framework that governs AI behaviour, much like human laws govern ours.

Judiciary as an AI: A Future Perspective

Looking ahead, it’s intriguing to consider the potential role of AI in the judiciary. Imagine a future where judicial decisions are made by AI systems trained on these objective functions derived from human laws. Such AI systems would analyze cases, interpret laws, and deliver judgments based on a vast repository of legal precedents and principles.

While this idea may seem far-fetched, it highlights the potential for AI to enhance the efficiency and consistency of our legal system. However, it also underscores the importance of transparency, accountability, and ethical considerations in the development and deployment of judicial AI.


The intersection of AI and human behaviour presents both challenges and opportunities. As we navigate this evolving landscape, it is crucial to recognize the limitations of AI in predicting human actions and to establish robust frameworks that guide AI behaviour through well-defined objective functions. Lawmakers have a pivotal role in this process, ensuring that our legal principles are effectively translated into the digital realm.

At Exotel, we are committed to exploring these complexities and contributing to the development of AI solutions that are not only innovative but also aligned with our ethical and societal values. By fostering a deeper understanding of the relationship between AI and human behaviour, we can pave the way for a future where technology enhances our lives while respecting our fundamental rights and freedoms.


Shivku is a technology entrepreneur, and the co-founder of Exotel, the leading Connected Conversation Platform. Through his visionary leadership, Exotel has achieved several milestones, including securing $100 million in funding, merging with Ameyo, and acquiring Cogno AI. Apart from his entrepreneurial endeavors, Shivku is also a technology enthusiast with a keen interest in exploring the latest developments in the field.

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