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Inteligencia Artificial en Recursos Humanos - Emptor

Game Changers Podcast English

Emptor By Emptor

Voice Agents: Beyond the Bot - An Immersion in the Future of AI and the Human Experience with Sol by Emptor

Artificial intelligence (AI) is redefining our interactions with the world, and human resources management finds itself in the midst of this revolution. At Emptor, we are leading this transformation with Sol, our virtual recruiting agent. We invite you to explore the profound implications of AI on the human experience through a conversation that spans from the intriguing “uncanny valley” to the future of chatbots, including a critical look at their current state and the ethical dilemmas they pose.

The Enigma of Resemblance: Deciphering the Uncanny Valley

We delve into the phenomenon of the “uncanny valley,” that sense of unease we experience when confronted with an almost human, but not quite, artificial entity. We analyze the complexity of this reaction, which goes beyond mere discomfort. It is a mix of fear, disgust, and even a form of shock, a visceral response to the artificial that comes too close to the human, but fails in the imitation.

The lack of a universal standard for determining what we find disturbing explains the diversity of reactions to the same entity. What fascinates some, repels others. We ask: what triggers this response, and how can we design an AI that does not activate it? Science, through studies with physiological measurements such as pupil dilation and brain imaging, is beginning to unravel the mysteries of how our brain processes and reacts to these almost-human entities.

Beyond Imitation: Do Machines Really Think? The Legacy and Limits of the Turing Test

We examine the Turing test, a historical benchmark in the evaluation of AI. While a classic, it also presents significant limitations. [What Should Replace the Turing Test?](https://spj.science.org/doi/pdf/10.34133/icomputing.0064) We argue that focusing solely on external behavior is insufficient to determine true intelligence. A machine, like a parrot reciting Shakespeare without understanding the meaning, can imitate human language without possessing genuine comprehension. We ask what lies beyond imitation. How can we design an AI that not only imitates, but understands the meaning behind the language? This is the central challenge we explore.

The problem lies in the difference between simulating and comprehending. A machine with a vast database of pre-programmed responses could pass the Turing test without a shred of real intelligence. The true advancement lies in creating an AI that thinks, reasons, and understands the context and nuances of human language.

The Current State of Chatbots: A Deficient Ecosystem, Especially on WhatsApp

Before envisioning the promising future of AI, it is crucial to analyze the often-frustrating present of chatbot interactions. Many of us have experienced the helplessness of dealing with rigid and limited chatbots, especially on platforms like WhatsApp, where banks and institutions use them for customer service. These chatbots, trapped in pre-defined conversation flows, rarely understand our real needs or the language we use. Who would have thought there could be something worse than talking to a call center agent? Many current chatbots manage this feat, turning a simple inquiry into an odyssey of frustration. They offer a false sense of help, promising efficiency but delivering, in most cases, a cumbersome and ineffective experience.

Sol: Empathy as a Central Element in HR AI

At Emptor, with Sol, we go beyond imitation and the common frustrations of current chatbots. Sol not only executes tasks, but understands the context, emotions, and particular needs of each interaction. Its integration with WhatsApp, the dominant communication platform in Latin America, creates an intuitive and natural experience. Sol personalizes its tone, accent, and style, adapting to each candidate and becoming an extension of the human resources team, combining the efficiency of automation with the warmth of human interaction. Sol represents a real alternative to the impersonality of traditional chatbots, offering a fluid, comprehensive, and truly useful user experience.

Revolutionizing Technical Support: Finding the Balance Between Chatbot Efficiency and Human Warmth

We explore how well-designed chatbots can transform technical support. The challenge is to find the balance between automation, which streamlines the resolution of frequent and repetitive questions, and human intervention to address complex problems that require empathy and deep understanding. [Suspicious Minds: the Problem of Trust and Conversational Agents](https://link.springer.com/content/pdf/10.1007/s10606-023-09465-8.pdf)

User satisfaction, we argue, depends on two key factors: the accuracy of the chatbot’s responses and the ease of accessing a human agent when necessary. A user-centric service design is essential for chatbots to become a valuable tool, not a source of frustration. Service design must consider not only functionality, but also the user experience, creating a fluid and natural interaction.

The Future of Communication: Multimodal Chatbots and Emotional Intelligence

We look towards the future of chatbots, envisioning “multimodal chatbots” capable of interacting through voice, video, and even gestures, blurring the boundaries between human and artificial interaction. This new paradigm raises crucial questions: How do we design an AI that generates trust, is appealing, and inspires security? Emotional intelligence in chatbot design emerges as a crucial factor in building genuine and meaningful connections.

Emptor’s Vision: AI in Service of the Human

At Emptor, we believe in the potential of AI to enrich our lives. Sol is just the beginning of our commitment to ethical, transparent, and human-centric AI. We share the question that guides our conversation and our work: what does it mean to be human in a world where AI is becoming increasingly sophisticated?

AI in Healthcare: Medical Chatbots? Analyzing the Potential and Limits of ChatGPT in Diagnosis

We wonder if chatbots could replace medical consultations. We analyze a study [Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study](https://mededu.jmir.org/2023/1/e46939) that evaluated ChatGPT’s ability to provide medical advice. While ChatGPT has shown the capacity to provide accurate information in simple cases, the importance of the human factor, empathy, and the ability to connect with the patient remain essential elements, especially in complex situations or those involving a high degree of sensitivity. Patient trust is based on feeling heard and understood, aspects that AI, in its current state, cannot fully replicate. The question is not whether AI can replace the doctor, but how it can complement and improve the patient experience.

Introduction to AI: The Future of Humanized Agents

What is Artificial Intelligence?

Artificial intelligence (AI) is revolutionizing the way we interact with technology, transforming processes that previously required exclusively human intervention into fluid and automated experiences. At the heart of this revolution are AI agents, sophisticated programs that not only execute tasks, but learn, adapt, and evolve to meet the specific needs of each user and organization.

A standout example of this evolution is Sol by Emptor, an innovative virtual agent that is redefining human resources processes in Latin America. Unlike traditional systems, Sol is not just a recruitment bot; it is a comprehensive solution that combines the efficiency of AI with a deeply humanized approach, conducting interviews, evaluating candidates, and managing recruitment processes through channels like WhatsApp and phone calls.

The Transformation of Human-Machine Interaction

The true revolution of AI lies not only in its ability to automate tasks, but in how it is transforming the very nature of the interaction between humans and machines. Modern virtual assistants, like Sol, demonstrate a sophisticated understanding of context and emotions, adapting their tone and style to the unique culture and values of each organization. This personalization goes beyond scripted responses, creating experiences that genuinely reflect the identity of the company.

In the business realm, this evolution is enabling human resources professionals to be freed from repetitive and administrative tasks, allowing them to focus on more strategic and value-added aspects. Sol exemplifies this transformation by autonomously handling recruitment processes, from initial evaluation to detailed interviews, while maintaining a natural and empathetic level of interaction with candidates.

The Future of AI Agents in Latin America

The Latin American region is experiencing a rapid adoption of AI solutions, and companies like Emptor are leading this digital transformation. Sol represents the future of AI back-end for companies in the region, offering a solution that combines technological efficiency with a deep understanding of local cultural needs and nuances.

AI agents are evolving beyond being simple automation tools; they are becoming intelligent collaborators that comprehend and adapt to the specific needs of each organization. This evolution is creating a new paradigm in the way companies operate and engage with their employees and candidates, paving the way towards a future where technology and the human touch coexist harmoniously.

Artificial intelligence is constantly evolving, and its impact on society will continue to grow. With solutions like Sol by Emptor, we are witnessing the emergence of a new generation of AI agents that not only automate processes, but redefine the way companies interact with people, creating more efficient, personalized, and fundamentally human experiences.

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