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I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First. ...

I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First.

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Jan 8, 2018 | 7413 Views

Although, Artificial Intelligence promises many great things, some of these claims are over-exaggerated & will most likely not happen in the near future. Chief Scientist of Converscia, Dr. Sid J. Reddy gives readers his point of view. 
Machine Learning & Artificial Intelligence are the new emerging technologies that are likely to transform many businesses. We have some amazing examples at work like Alexa, autonomous vehicles & much more. There are however ,some limitation to these technologies and they are not likely to achieve certain goals in the short term. 
The company Conversica is a leader in conversational artificial intelligence for business, and Conversica Chief Scientist Dr. Sid J. Reddy has shared with Digital Journal readers four things are unlikely to happen with artificial intelligence during 2018. Dr. Reddy refers to these as "unpredictions", turning the common approach for analyst's to make predictions on its head.

Self-driving cars

The first area is that "we won't be riding in self-driving cars". As Dr. Reddy explains: "While many are predicting a driverless future, we're a long "road" away from autonomous vehicles." This is is terms of cars that will take commuters to work, a situation where the commuter can sit back and read his or her iPad while paying little attention to the traffic outside.

He adds: "For a number of years ahead, human operators and oversight will still rule the roads, because the discrete human judgments that are essential while driving will still require a person with all of his or her faculties--and the attendant liability for when mistakes happen. Besides technical challenges, humans tend to be more forgiving about mistakes made by human intelligence as opposed to those made by artificial intelligence."

Disappearing jobs

The second unprediction"is that people will not be replaced by AI bots this year. Dr. Reddy states: "While it is possible that artificial intelligence agents might replace (but more likely supplement) certain administrative tasks, the reality is that worker displacement by AI is over-hyped and unlikely." So robots won't be taking over most jobs any time soon.

This is because, the analyst states: "Even in an environment where Automated Machine Learning is helping machines to build machines through deep learning, the really complex aspects of jobs will not be replaced. Thus, while AI will help automate various tasks that mostly we don't want to do anyway, we'll still need the human knowledge workers for thinking, judgment and creativity. But, routine tasks beware: AI is coming for you!"

Medical diagnosis

The third aspect is that we won't get AI-powered medical diagnoses. This is, Dr. Reddy says "Due to a lack of training data and continued challenges around learning diagnosis and prognosis decision-making through identifying patterns, AI algorithms are not very good at medical decision automation and will only be used on a limited basis to support but not replace diagnosis and treatment recommendations by humans."

He adds: "AI will be increasingly deployed against sporadic research needs in the medical arena, but, as with fraud detection, pattern recognition by machines only goes so far, and human insight, ingenuity and judgment come into play. People are still better than machines at learning patterns and developing intuition about new approaches."

Importantly: "People are still better than machines at learning patterns and developing intuition about new approaches."

AI at work

The fourth and final area is that we will still struggle with determining where artificial intelligence should be deployed. Dr. Reddy states: "Despite what you might be hearing from AI solution vendors, businesses that want to adopt AI must first conduct a careful needs assessment. As part of this process, companies also must gain a realistic view of what benefits are being sought and how AI can be strategically deployed for maximum benefit."

He added that IT management, developers & business users should not get overly ambitious and properly consider the data & infrastructure required to extract value from AI. Best practices & "buy versus build" are important factors to keep in mind while implementing AI solutions.
Dr. Reddy's message is clear. Artificial intelligence despite all its promises will fall short in some areas. We all need to be realistic about our expectations from this technology. 

Source: HOB