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What is Artificial Intelligence?
You may have heard of the terms AI and Machine Learning at least a million times by now. Machine Learning is how a computer is trained through extensive sets of data to gain its intelligence. The process of learning is autonomous and in selective cases life-long.
But the question which comes to mind after hearing nonstop about this is, " What makes AI effective?" According to Tractica, the AI market is set to grow 38% by 2023. Why is the cause behind its rapid implementation? Organisations are looking to and working on implementing AI models for assistance. According to a survey conducted by MITSloan, 57% of the companies are piloting or deploying AI while by evaluation of different factors, only 20% of them have been successful with it. Mutual learning is effectively the reason behind the successful 20%.
Through their research, MITSloan identifies the key to organisational learning in three ways:
In the facilitation stage, it's not just AI learning autonomously, it's machines teaching humans as well as humans empowering machines to function better. For machines to serve the right way, it needs to be fed with the right data. For example, while training an AI to track existing weather conditions and make predictions, it needs to analyse records over different scenarios before making a clear-cut prediction. Humans assist the machines in handling new situations and broad perspectives and by picking and developing flaws in algorithms to keep them well functioning. Respectively, machines are targeted to overcome the weaknesses of humans; i.e. dealing with large data.
The assistance modes play a significant role in developing the operations. MITSloan also identifies that 73% of the survey respondents use six modes of interaction; the most used being “Human generates, AI evaluates”. Besides that, human and AI exchange is one of the weak segments of unprofitable firms. The best example of human discernment is implemented by Walmart. Employees are well aware of the assortment and demand criteria so they have been developing and implementing the assessment criteria of AI models. One of the bottlenecks they faced was by the COVID-19 pandemic. In that case, the managers assessed and improvised the suggestions made by the AI.
Processing development is initiated with learning yet its progress is not quite positively correlated with time. Machines learn the same way as humans because at the end, we are the ones making their algorithms. It is persistence that is the primal factor in progress. An instigating example of the peak proficiency phase in the learning curve comes from the manufacturing of sports cars by Porsche. A difference in sound produced by a coffee machine was detected when it made a good versus a bad coffee. The noise difference was implemented in detection of defects in the parts to be assembled for the production of cars. The AI became adept in recognising inadequacies through reformations in its learning algorithm.
Artificial intelligence is inevitably exploitable. Human impersonation bots have existed long and it has always been difficult to deal with them. They are used to generate impressions on various platforms. The new chatbot by OpenAI has been exploited to generate recommendations on unethical actions such as shoplifting and electrocuting rats. On a sinister level, deep audio fakes are being utilised for money scams in established firms. All these exploits are a constant reminder to us to consider the possible misuse of AI to best remain out of its influence.
To answer the question initially addressed, Artificial Intelligence is the new future since its striking advantages cannot be disregarded. On an ending note, if your daily dose of curiosity is still unfulfilled, consider going through applications of deep neural networks beyond the scope of neuroscience.
Expanding AI’s impact with organisational learning. By: MITSloan Research Organisation
Exploiting AI. By: Trend Micro
The Learning Curve Theory. By: whatfix
OpenAI’s new chatbot will tell you how to Shoplift. By: VICE
