Artificial brainpower (AI), the study of making more brilliant and insightful human-like machines, has started an inescapable discussion of Artificial Intelligence Vs. Human Intelligence. Indeed, Machine Learning (ML) and Deep Learning (DL) algorithms are built to make machines learn independently and make decisions just like we humans do.
While trying to make more intelligent machines, would we say we are disregarding the effect of AI takeovers on future vocations? Would Human Intelligence confront an existential emergency? Actually, no, it’s a myth that AI will displace humans in the future. Still, the aspect of being highlighted is humanness mentoring in building future technologies using AI/ML.
Some jobs are indeed being replaced because of technology innovation, but it cannot be overlooked that technology augmentation enhances the capabilities of humans. It needs to be thought of as augmentation rather than complete automation and replacement. Humans engage, machines simplify. Artificial Intelligence (AI) is all the rage—from self-driving cars and Siri personal assistants to chatbots and email scheduling associates that take routine tasks out of human hands whereas the desire for human interaction at critical decision points, especially for interactions requiring emotional engagement and judgment, increases the involvement of humans. The ability of humans to apply the acquired knowledge with a sense of logic, reasoning, understanding, learning, and experience is what makes us stand out. With knowledge comes power, and with power comes great responsibility. Although Machines may mimic human behavior to a certain extent, their knowledge may fall apart when making rational decisions like us. AI-powered machines settle on choices dependent on events and their relationship with them. Nonetheless, they need “good judgment.” AI systems are clueless in the understanding of “cause” and “effect.” The stories of AI failure are alarming for consumers, embarrassing for the companies involved, and an essential reality-check for us all. Some of the scenarios which correspond to AI epic shortcomings are:
- When an Uber self-driving autonomous car killed a pedestrian while under computer control, or
- Like the AI-led IBM’s Watson Supercomputer recommended ‘unsafe and incorrect cancer treatments,’ or
- When AI-enabled facial recognition tools became biased towards colored skin tones, innocent people were wrongly identified as potential criminals.
AI specialists today are focusing on ways to overcome such disasters in building the algorithms and improving AI’s ability, and yeah, shortly soon, they will be successful in it.
This vision of making machines that can think and act like humans has evolved from movie-fiction to real-world facts. Of course, science fiction always looks ahead of the actual time. Still, at the same, it is an important litmus test on which computer abilities are considered crucial for an effective improvement of the user experience. We looked into AI to make our tasks more manageable. These AI-driven applications have a higher speed of execution, have higher operational ability and accuracy, and are highly significant in tedious and monotonous jobs compared to humans.
Now, the question arises, what separates human intelligence from AI? Human intelligence is the quality of the brain that learns, extracts knowledge, acquires abstract concepts from its surroundings. It does not depend on pre-fed data like the ones required for AI as human intelligence relates to adaptive learning and experience.
Going with the present data and our AI-ad advances, language processing, vision, Image processing, and common sense are still challenging to machines and require human interventions. Since AI is still in its development stage, the future lies in how well we humans govern AI apps to abide by human values and safety measures. After all, like Nick Burns, SQL Services Data Scientist explained: “No matter how good your models are, they are only as good as your data….”
