Artificial Intelligence News
We can’t deny the fact the concept of Artificial Intelligence has taken over the master brains in the world for quite some time now. With machine learning breaking the grounds, top companies like Google, Amazon, Netflix are proud of admitting that they live in the first age of AI. Well, the advanced features are proof why AI has attracted big ones in the industry. Despite its limitations, it has managed to get some jaw-dropping love from these big shots. Wait! Limitations? There are! Check out a few below.
Algorithms can be compared to engines. They run in a much efficient manner but mandates ignition. This is as simple as how a Strategist is a must to design and plan a brand strategy. In addition, the experts believe that the creators face the biggest obstacles when it comes to creating a human-like AI. The fact that supervised learning does not emulate how a human learns things naturally is an absolute example of the same. Theoretically, AI can be limited according to the laws of Mathematics and Thermodynamics. Prediction becomes impossible and this is a place wherein a certain amount of energy cost is required to design the data.
Example To Note
Hope we haven’t gotten over Tay, the AI chatbot by Microsoft, the teenage girl-like AI. At least it was designed to speak like one we could say. Though it was an appreciable idea and the performance was actually loved by all, it had to be taken aback. The makers couldn’t see Tay facing troll kicks from all the end. Let’s blame the internet now for being a corrupt place and Tay for being innocent. So, that says it all. AI Vs. Human is a tough challenge.
Creativity, well, is a definite ingredient for anything – be it sarcasm or a serious plan. No matter how human like the AI robots can be, the lack of creativity and the process of “data first, then AI works” can be a serious issue. Let us consider an AI robot planning a campaign. Lack of creativity will be an apparent reason for the total failure. AI can certainly assist in terms of determining the preferences. However, if you need a unique style, that needs to be updated before you expect the robot to deliver it.
Complexity And Consciousness
As we have all concluded by now, model complexity is applicable as a limitation. When limited computation resources are used, the feasibility factor fails to reduce training errors. To our knowledge, we have not yet built conscious machines. What is worse is that we do not hold an appropriate definition of the term itself. Though this could change, currently, it stands as a limitation.
In the metaphorical angle, AI is more of a prism. The flawlessness of the crystal depends on the purity of the light resource, which is a process that brings up a better rainbow. Practically, AI can be 99% certain of something, which means 1 out of 100 in average, it stands wrong.
What is apparent is that AI is unlimited when compared to human intelligence is simply theory while in practice, there are obvious problems. There could be instances wherein the patterns of your data don’t even exist.