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VOOZH | about |
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When it comes to discussions about Artificial Intelligence (AI), a shade of apprehension often colors the narrative — casting AI as the rival to people and their jobs. The problem with that assumption is that it ignores the historical relationship between people and technology. Throughout history, new technology has been adapted and adopted into society, whether it was the automobile, the integrated circuit or the cell phone.
Yes, technology brought change. But it often created new jobs in new fields and empowered people. AI is likely to be incorporated into society in a similar way — working with people collaboratively and empowering workers while driving improved productivity.
When viewed through the lens of collaboration rather than competition, AI should free people to do what they are uniquely good at — creative problem-solving, collaborating and using judgment to solve complex challenges. This “human-in-the-loop” approach to AI can alleviate people from daily-grind tasks that are time-consuming, repetitive, and often lead to burnout.
Envision a scenario where your AI teammate seamlessly integrates into your operational workflows, becoming a trusted assistant who handles time-consuming tasks. This teammate has a comprehensive understanding of your operations, understands the contextual importance of data and can deliver that data exactly when needed in the forms of metrics, graphs and recommended actions. Imagine an AI teammate that collects and sorts a massive amount of data, producing concise summaries for human analysis. Or AI that provides you with information that detects and contextualizes incidents.
As potent as AI is in dissecting vast data sets, spotting patterns, and rendering contextual analysis, it’s still in its infancy. Its tendency to “hallucinate” or misinterpret data underscores the need for a robust human-in-the-loop (HITL) framework. This model fosters a symbiotic relationship where humans can verify AI outputs, providing a much-needed layer of validation and approval.
There are plenty of examples already at play in the real world showcasing this type of strategic collaboration — where technology provides recommendations, but humans give the final stamp of approval.
The fact is that AI-like systems have been with us for some time. When you fly, a variety of systems work to keep you safe, to alert pilots of potential danger and even to keep the plane steady on auto-pilot. The thing is, you still have a pilot. Even with all of the automation on an airplane, you keep a human in the loop to make important decisions and ultimately land the plane.
Just as you wouldn’t remove a pilot from a cockpit, you wouldn’t remove human beings from tasks where judgment and decision-making are critical. The truth is, AI is fabulous at tasks like analyzing large amounts of data, finding patterns and providing contextual analyses; working alongside the unique expertise of humans will be the best partnership for modern ops teams.
The narrative of chess epitomizes the potential of human-AI collaboration. The advent of Advanced Chess programs didn’t overshadow human prowess; instead, it ignited a collaborative spark. This synergy shattered previous records, with humans leveraging strategic acumen and computers lending their computational might. Similarly, integrating AI into operational realms fosters a conducive environment for nuanced decision-making, driven by a blend of human expertise and AI analytics.
Just like in chess or aviation, bringing AI into operations helps teams make better decisions.
AI excels at presenting pertinent information precisely when it’s needed, offering insightful suggestions, and conducting comprehensive analyses of vast datasets. For an operations team, AI can become an invaluable, complimentary teammate. Rather than replace IT team members, AI functions as a valuable asset, helping team members be more productive and allowing them to focus on more strategic, high-value work.
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