Understanding Humanized Artificial Intelligence

# HumanizedAI #ArtificialIntelligence

blog

Jay Anthony

30 September 20218 min read

Insight 1

Ever wonder how magically Amazon knows what exactly you would need for your household items? Or how is Netflix recommending you movies and shows as per your taste and choice? And worst thing worst, you’re trying to be strict on your diet, and then the food delivery app sends you a notification about your favorite junk food? How do they do it?! Well, the answer is Artificial Intelligence.

AI is a technique of getting machines to work and behave like humans. For, past few years, AI has been used in diversified fields like healthcare, banking, marketing, robotics, and many more. Using AI reduces the risk of human error in any area by 99.999%. But even after all this, AI lacks something. It still robotically performs tasks; unable to understand users’ emotions, it delivers the same fixed response irrespective of context. It lacks that human touch. So, since the last few years until today, implementing that human touch into AI has become necessary to make the AI algorithm understand when to respond and when to take a step back.

What is Humanized AI?

Humanized AI understands human emotions like stress, happiness, depression, urgency, etc., through speech, facial and physical expression and responds accordingly with much empathy like humans. A most convenient example of this would be Alexa. It tries to understand the states of mind and captures these data every day, and builds your emotional profile. In the future, it will use this data to detect your mood and suggest songs accordingly.

Empathy-The most important Factor

Empathy is one of the most critical constraints for understanding human emotions. Empathy is when you put yourself in someone else’s shoes and try to understand the opposite person’s situation. Humans have learned empathy since their infant years, and thus it is incredibly challenging to implement this natural persona into an AI algorithm. But in past years, computer scientists have been in a relentless effort to club empathy into AI, and the result is becoming great day by day.

Empathetic AI to Create Jobs:

It has been a constant debate whether AI is a threat to human jobs; on the contrary, we can see that humanized AI can create jobs. Let's draw a scenario here. Suppose you walk into a shop you have previously visited and are unhappy with the previous shopping experience. Now imagine, a robot greets you there and analyzes your expression and gets that you're upset, and readily transfers that information to the concerned person. A personal buyer comes in front for your rescue and helps with your entire shopping experience. Thus the AI creates the need for an assistant buyer in a shop and thus reinforces job creation.

Applications of Humanized AI:

The applicability of Humanized AI is highly diversified among different fields. From banking to healthcare, from education to entertainment, technologies nowadays are trying to use humanized AI to give a more personalized experience to the consumer. Here, we’ll throw some light on a few areas.

Healthcare & Mental Health- In this new, advanced world, depression is one of the most widely suffered undiagnosed syndromes, and AI is helping remarkably in detecting that. MIT is claiming that it has built an AI, which is able to see the level of depression of a person through voice recognition. By analyzing the pitch, breathing intervals, or word choice, it identifies the stage of depression and then refers it to the concerned person accordingly.

Retail- Suppose you’re not happy with your buying experience from any retail giant, let’s say Amazon. IF you try to connect their customer care section via the app, you’ll end up using a chatbot first, which is nothing but an example of a humanized AI. From your choice of words and tone, it’ll detect your mood and then accordingly will guide you and, in the end, will connect you to a dedicated call person.

Banking- In the banking sector, the AI algorithm can improvise the customer experience in a great way. Through voice recognition, the algorithm can understand the urgency and stress of the customer and then can readily transfer the call to a human counterpart. The algorithm also helps the personnel to assess the customers’ profiles quickly and help them accordingly.

Education- Through interacting with AI, it’s easier for the students to understand and solve a complex problem, and thus the learning becomes accessible and engaging. On the other hand, AI algorithms help teachers to understand their students better. The humanized AI also can detect any students’ stress or difficulties and readily informs the teacher so that the teacher can take extra care towards that student. Carnegie Learning’s Mika is one such AI solution that provides real-time insights to the teacher about the students’ comprehension ability.

The increasing smartness of humanized AI is bringing a fair share of vulnerability too. Due to providing a human touch in the algorithm, the AI needs much more personal data than physical gestures and facial expressions, for which the users feel unsafe at times. In that case, the businesses implementing humanized AI must implement a ‘human-first approach where humans will be the ultimate controller of the AI. Thus, one’s privacy would be preserved, and yet they can have a satisfying experience.

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Concluding message

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WRITTEN BY

Jay Anthony

Marketing Head | TECHVED Consulting India Pvt. Ltd.

He led efforts to develop a fully integrated marketing communications plan and growing team. He is responsible for successful corporate re-brand and update of all branded assets.

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