Embracing a Human-First Strategy in the Age of Gen AI Platforms

Embracing a Human-First Strategy in the Age of Gen AI Platforms

Google’s new Gemini AI image generator claimed to transform text prompts into relevant and visually pleasing images. However, its initial rollout hit a snag. The tool failed to generate accurate images of white people and historical events, resulting in incorrect pictures. In response to the widespread backlash, Google issued an apology and assured users that they are actively working to address the issues. This brings us to the question – Should we completely rely on AI? Undoubtedly, AI brings a lot to the table, benefiting companies (IT and non-IT), businesses, and communities across the globe. However, over-dependency on it can have dire consequences in the long term. The current discrepancies and limitations in AI algorithms emphasize the need for a human-first approach. By embracing a human-first strategy in this age of Gen AI platforms, we can deal with challenges, address biases, and create more effective and simple solutions for complex business and technological problems. Let’s discuss more what it takes to have a human-first strategy..

Catering Humans Through Humans

Nobody understands humans better than humans. A human-first strategy is an approach that places humans at the forefront. This model motivates humans to work on human considerations/requirements and drive decisions related to business, technology, and design. Unlike the current trend, where AI is being allowed to take center stage in everything, the human-first strategy emphasizes the following key principles:

  • Conceptualization with Humans in Mind: During the initial stages of process design, the focus remains squarely on understanding and addressing human requirements. Business goals, technological feasibility, and design aesthetics are all shaped by the needs and experiences of people.
  • AI as an Enabler, Not the Driver: While artificial intelligence (AI) plays an important role, it doesn’t dominate the conceptualization phase. Instead, AI takes a backseat, waiting to be utilized only during the implementation phase. Its purpose shifts from conceptualization to operational goals, such as acceleration, optimization, replication, and enhancement.

By adopting a human-first strategy, organizations are meant to create an environment where technology serves humanity, rather than the other way around. It ensures the result aligns with real-world needs, making processes more efficient and fruitful for the end-user.

Why Should We Have a System that Encourages a Human-first Approach?

Humans have emotional intelligence, which enables them to empathize, understand, and connect with others. This innate ability empowers them to recognize grievances, navigate complex situations, and respond with compassion. Additionally, human cognition excels at interpreting multifaceted scenarios. Unlike rigid algorithms, which may struggle with nuance, humans can grasp intricate contexts and make informed decisions.

Let us explore some professional settings that lay stress on human involvement and its advantages compared to the ones bestowed by Gen AI.

For instance, a company wishes to introduce a new product type. It can leverage Gen AI to generate a design that meets its requirements. Since generative AI tools are fueled by vast amounts of data, we can certainly expect them to design a product based on previous models and create a prototype that serves the purpose yet may vaguely resemble its predecessors. When involving a human designer in the process, they will undoubtedly bring their years of experience to the table. However, they are also very much capable of giving a product a fresh new look and enhancing its functionality based on user experience rather than just checking all the company’s must-have boxes.

Here’s a different scenario: Imagine a situation where a user is having trouble using a particular product from the company/brand. The probable next step is approaching the customer support executives of that brand. What if the problem faced by the user is unique and cannot be solved by AI bots? What if the customer is unable to articulate the problem through text messages? Timely intervention of a contact center agent or customer service agent for product support will not only help in resolving the customer’s issue but also contribute to strengthening the company’s customer experience journeys.

A Human-first Strategy Ensures more Accuracy and is Holistic in Nature

Yes, AI can help you access a vast amount of data within a very short period. However, we must not forget that the data fed to Gen AI tools is nothing, but information documented by humans across the globe over the years. While most data are backed by the right sources, some are assumptions and vague hypotheses. And who better than humans to delve into the past and verify the integrity and accuracy of information? While AI can provide you with data, only subject matter experts with years of research, experience, and exposure to a certain topic are truly eligible to verify the accuracy of that data.

Furthermore, let us not underrate the fact that a human-first system is not just capable of fulfilling the functional requirements of a system but can create a broader impact on individuals, communities, and society. This strategy focuses on overall well-being rather than just efficiency. It values the special strengths of human intelligence. It makes sure that technology benefits humanity, instead of people becoming overly reliant on flashy but short-lived tech marvels in their lives.

Learn how humans and technology can come together to drive sustainable growth in the current tech industry.

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