Human intelligence and artificial intelligence: the future is together

The meteoric rise of artificial intelligence (AI), intelligence that can perform tasks typically done by humans, is undeniable. Collins Dictionary enshrined AI as word of the year in 2023. But with new frontiers and benefits, we must heed the risks associated, particularly for businesses adding AI to their digital transformation strategy. 

The Biggest Risk of Using AI

Has anyone identified the most significant risk of using AI? According to recent research from McKinsey & Company, inaccuracy is the most “recognized and experienced risk” of AI use. Thus, while AI continues to excite and help innovate across many industries, understanding how the risks of inaccuracy can affect enterprises is crucial for the future. In the same research by McKinsey & Company, 44% of respondents in their survey say that their organizations have experienced “negative consequences” due to AI inaccuracy. From misinformation from chatbots to narrowing search categories that only consider one identity marker. This sentiment is also translatable to the consumer as 75% of consumers are concerned about “misinformation.” 

But what does this mean? In essence, answers from AI can only be as good as the underlying information and data quality assurance processes applied to the model used. Outdated information from AI produces risk and extended problem-solving periods. Bias from training data, outdated samples, and information silos can lead to inaccuracy, giving rise to bigger, and sometimes expensive problems later. 

Human Verification is Key

One clear way to tackle these inaccuracies and lingering doubts over veracity is to include a human verification layer within AI processes - something at the heart of Starmind.ai. Becoming more technologically savvy and increasing AI usage in industry does not and should not discount the “human factor”. This vital and understated element of AI allows for the usage of AI to reach greater potential whilst greatly reducing the risks of inaccuracy. Combining artificial intelligence with human intelligence, we can govern and, in essence, exert greater control over the information being circulated, ensuring its reliability. An interview with Thomas Malone, director of the MIT Center for Collective Intelligence with Deloitte summarized this concept well with the following maxim - Humans in the loop, Computers in the group. 

Human intervention or collaboration with AI is necessary for long-term success and evading pitfalls like data bias through controlled algorithms. You think that an algorithm has the potential to save time, but it is only as good as the training it has been provided, hence the need for human intervention. And obviously, AI is not sentient, it cannot match or recognize human emotion. An AI source does not allow for critical thinking, empathy, or compassion, even for those decisions that require it. Once again, reinforcing the need for humans to work alongside AI seamlessly.  

A Hybrid Model - Human and Artificial Intelligence

What does this “hybrid” model of human and artificial intelligence look like? Starmind.ai makes it look easy with five simple steps. Where most AI services provide an often over-simplistic question and answer service, Starmind not only analyzes the question but it also identifies people - yes, real people! The Starmind platform identifies experts who can answer your questions, linking them to you directly. An expert is only one click away.

Your question can be answered by an expert in the field, in real-time. Once complete, these exchanges are stored in a database to ensure that others who may have similar questions in the future receive the same access to high-quality responses from those in the know. The response repository can have a specified validity period and regularly scheduled reviews on all answers, allowing for quality control and optimal governance. 

As businesses evolve, answers to questions and experts can too. To stay relevant and reliable, Starmind’s AI identifies and connects you with an expert to verify the information. Whenever a human expert edits, changes, or modifies an answer, the AI takes those answers and learns from them, highlighting a seamless and symbiotic relationship between humans and AI. Furthermore, it shows how Starmind is committed to ensuring accuracy consistently, even to the point where the AI “unlearns” outdated information. 

The Future is Together

In short, AI has woven itself into the fabric of society, but that doesn’t mean there aren’t a few knots along the way. For a successful future, we cannot forget the importance of human intervention, particularly in avoiding inaccuracies. This sets the stage for a blended experience that kicks off with human-AI interaction and can smoothly transition to human-to-human dialog to verify, correct, or build on machine-generated content.

At Starmind.ai, this symbiotic relationship between humans and artificial intelligence is active and constantly evolving with companies like PepsiCo and Roche benefiting from instant access to reliable, up-to-date expertise. Available as an app through the Microsoft store, integrating with Microsoft Copilot and other enterprise-grade applications, the future is even more collaborative. Benefit from instant access to the right expert and unlock new levels of efficiency, innovation, and collaboration.

Learn more about the Human Verification Layer for LLMs here.

Book a Starmind demo here.