AI has been the talk of the town ever since its launch offering benefits. From inventing new business ideas and models to saving our time by efficiently handling the assigned tasks. With its countless benefits, AI has its drawbacks too. The question is, Is AI Reliable? No, It is not!
Dependence On Organic Data:
Many people don’t realize that AI works properly only when it is given proper input about your data, its history and nature. General input doesn’t offer organic results as AI is designed with a huge amount of information throughout the world. It was not designed for one specific niche. To receive your desired outcome, it is mandatory to provide AI with proper input about your query and its corresponding data. Sometimes even when AI is provided with organic data, it doesn’t give the desired outcome you are looking for. Thus, what you can do is; pick up the idea, take the hint and further work on it yourself!
Ambiguous Explanation:
Have you noticed when AI is asked a certain question, it jumps directly to its conclusion instead of providing the user with its proper explanation. For instance, when students ask AI for help with a problem, they might receive a direct answer without any detailed breakdown or context. This could lead to a superficial understanding of the material, leaving the student unprepared to apply the knowledge in different situations. This is why it is important to thoroughly check AI’s outcome results and critically analyse it.
Continuous Monitoring:
With AI being endorsed for saving time, the truth is that a lot of time is wasted due to the constant monitoring and analysis of data that is generated through AI. There is no doubt about its efficiencies but it also wastes a lot of the time of the users. Additionally, AI systems are not infallible and can sometimes produce errors or unexpected results. Identifying the root causes of these issues and correcting them can be a complex and time-consuming process. AI can be highly beneficial only if it’s properly monitored.
Erosion of Human Skills:
Over the time, people’s dependency on AI has decreased human critical analysis skills. AI systems can process and analyze vast amounts of data quickly, often presenting solutions or recommendations without the need for human intervention. However, if users start to depend solely on these outputs without engaging with their analysis skills, they may lose the practice of evaluating information critically. This dependency can lead to a decline in problem-solving skills, as users may become accustomed to accepting AI-generated results without questioning their validity or exploring alternative solutions. Moreover, AI systems are often deployed to handle repetitive or routine tasks, which has led to a decreased need for human involvement in routine activities. While this can increase efficiency, it also risks reducing individuals’ engagement with these tasks. Routine tasks, even if they seem mundane, provide valuable learning experiences and opportunities for skill development.
PARTNER WITH AI, DON’T DEPEND ON IT!
