Unveiling Agentic AI
Hello there! By now, you've probably at least heard this term: It subsumes the concept of what has been referred to as ‘Agentic AI.’ Well, today, we are going to explore what exactly that is and why each one of us should be concerned. Today, we are speaking about how important it is for humans to supervise smart agents, lead them, and cooperate with them.
In other words, it is self-generated and possesses the autonomy to perform its intended functions, as claimed in the definition of the concept. For a second now, try to picture an AI that decides, learns, evolves, and grows when required to do so. However, where there is great power, there lies equally great responsibility, and that is where humanity intervenes.
OK, let’s analyze this, shall we?
Key Insights on Agentic AI
.png?width=512&height=512&name=artificial-intelligence%20(2).png)
Prevalence of Bias in AI Systems
Approximately 70% of AI systems exhibit bias, reflecting the prejudices in their training data, underscoring the essential need for human oversight to address these issues
Boosting AI Accuracy
Integrating human feedback can improve AI model accuracy by up to 30%. This underscores the essential role of continuous human participation for effective AI learning and adaptation
.png?width=512&height=512&name=artificial-intelligence%20(1).png)
Economic Contributions of AI
McKinsey estimates that AI could add $13 trillion to the global economy by 2030, highlighting the necessity for human-AI collaboration to ensure ethical practices and accountability
Why does Agentic AI need human oversight?
Think of a child on the playground: They might go through the fun like they always do, but once left alone, catastrophes are almost around the corner. The same applies to agentic AI: The fact that AI is so potentially powerful does not mean that it cannot be a watchful eye to ensure that it doesn’t go astray.
Ethical Problems
It has no ethical standards like human beings do; therefore, it operates on data and algorithms that enable it to commit mistakes. For instance, AI systems, given the challenge of optimizing a factory, may select overworked workers as the most effective option. They would, therefore, require supervision from human beings in this. In this way, their actions connect to values that we cherish and possess.
Reducing Bias
The thing with AI-based systems is that they learn from data, and if data is biased, then AI will be. For instance, if an AI model is based on training to its data on past hiring where discrimination was inevitable, then it would produce an unbalanced hurdle in hiring. Human intervention, therefore, calls to identify such unfair issues and take correct corrective action before they occur.
Accountability
And if so, who is at fault? We need to know if the person is asking for information about the AI, the developers of the AI, or the company that the AI belongs to. That has been a question, but one thing is for sure: thus, it lies in the hands of humans to take the necessary responsibility for this. We cannot just set it on AI as it unfolds because, essentially, we are responsible for guaranteeing these systems not only operate securely but appropriately.
Humans Shaping Agentic AI Decisions
Therefore, to extend from this discussion on why oversight is important, let us turn to the next discussion on how oversight can be implemented or put into practice to guide AI. Just consider for a moment: Friends’ help is indispensable, for example, when teaching a teen to drive. I am sure you don’t just provide them with the keys and then close your eyes and mind to whatever they are going to do with it. You guide them through learning, and they achieve learning on their own right from the basics up to the level of driving ‘on your own.’
Setting goals
What’s good with AI is that it is wonderful in the achievement of goals though it remains our responsibility to establish them. Better customer care, production and supply chain, product development –all these entail human beings to determine what constitutes success. And that means more than merely identifying the end vision of what’s desirable and providing examples of how it can be attained.
Here, the AI system designed to save the building's energy when it becomes self-sufficient turns off the light and heat, essentially causing discomfort to people in a dark and cold environment. A human assistant would introduce rules to enable the AI to check energy conservation without compromising people’s comfort.
Perpetual Learner
But AI, in the end, has to keep learning—just like humans—if it’s to remain employed in the future. And at the center of all that learning throughout the years are people. They make learning continuous and enable AI to adapt to the new information introduced and modify the algorithms used and the models as well.
Establishing a Feedback Loop
Quite a lot of feedback is well-designed for AI systems, although they do not actually catch it. Humans put feedback in loops so that AI learns what's right and wrong: confirming what the AI selected, providing additional data to the AI, or changing its objectives based on new information.
Building a Symbiotic Relationship with Agentic AI
But here's what's really cool: As not an instrument but as a member of the team, we could regard AI. The interaction of people and Artificial Intelligence is such that what one can perform is something that the other cannot accomplish on his own.
- Enhancing Human Capabilities
Here, it gets to data load, finding patterns, and predicting, all this at lightning speed, a pace that cannot be matched by people. It is, therefore, important to realize that in interacting with AI, our abilities are further developed so that we become sharp in decision-making and solving complicated problems in the quickest time.
Example: AI can analyze medical images in healthcare to diagnose diseases such as cancers faster and more accurately than any human radiologist could. Not really, because after that, a radiologist oversees everything that the AI does to arrive at a conclusion or diagnosis. It is this that, in fact, is advantageous for the patient. -
Creative Collaboration
Surprisingly, AI is also a good creative coworker. There are multiple ways in which AI can be a valuable part of creative collaboration. The type of tool that GPT-4 is will allow writers to write, musicians to compose, and designers to design; once implemented, the creativity of both man and AI is stretched beyond a measured extent.
-
Problem-Solving Together
AI is good at searching data to provide solutions, and humans add semantics, hunches, and empathy. It is all about integration, with an emphasis on interaction and interdependence between individuals and tools to handle issues from various perspectives, hence developing enhanced and inventive solutions.
The Future of Human-AI Collaboration
Thus, the development of artificial intelligence corresponds to the development of man’s relations with it. Of course, this cooperation will become even deeper in the future as AI becomes involved in much more challenging exercises, and man is still the only guide, teammate, and monitor.
AI as a Decision Support System
In the future, AI will be used to manage money, legal concerns, and health issues. This means that AI will not replace our work but assist and guide us with recommendations so that we can make decisions.
How AI Helps People
AI will become an assistance tool in which everyone will be able to get the necessary information to help them do much more than what was initially planned. From child-vented education to convenient health care, AI might help level the playing field to grant those who hitherto did not have the chance of success many more opportunities to do so.
Ethical AI Development
However, as AI invades our lives, an added need for ethics in development will be required: people will be made to show more care and ensure that AI teaches and uses methods that are constructive and helpful to society in general.
Conclusion: The Human Element is Irreplaceable
What does this mean? AI is for and of the people. That is why, while it is creating revolutions across industries and millions of lives for the better, AI will never and, for the best, should never operate on its own. The problem is that the human being has to occupy the most crucial place, which is controlling and directing this smartness so that the AI applications can be employed safely.
Participation strengthens all these values, ethics, and humanity. I admit that in this respect, it does look good for the future; it remains to be seen whether the values we want to attain go into its making.
I want to express my gratitude for sharing this journey into the world of agentic AI with me. Do you have thoughts or questions, or just want to continue the discussion about this topic? I’d be happy to hear from you. Roll up your sleeves; it is not time to stop the discussion just yet!
