AI implementation 

In the last few years, to resolve complicated issues in several domains, there turned out to be an amplified focus on the use of artificial intelligence. Likewise, AI adaptation in healthcare is increasing while radically changing the frame of healthcare delivery. Artificial intelligence approaches employing machines like humans have opened up previously unavailable possibilities for clinical practitioners and health service organizations to comprehend and sense data. Yet, there is an incomplete knowledge of AI and even confusion as to what it is? Also, it is not very clear what the implications are in using AI generally and particularly in the medical domain. However, the concept of AI is not new; there has been an immense amount of negotiations in recent years about the emergence of AI and its application in several domains.

These days, the Japanese government faces a sudden declining birth rate; they try with this innovative technology that is AI matchmaking. The matchmaking services often use standardized forms to list human hobbies and interests. AI technology can play a vital role in the analysis of the data. In Japan, it is officially declared that local governments were starting up matchmaking projects that use AI. Hopefully, this support will help in reversing the decline effect in the nation's birth rate.

Over the last 13 years, every year, the japan population has shrunk. All over the world, Japan is only the country with one of the lowest birth rates, and not enough babies are born to replace an aging population. The reason for the birth decline rate is not apparent. Still, there are some factors which are responsible for that, likewise, women focussing on their careers over increasing a family, and economic insecurity. Surprisingly, it does not end there; people of Japan lost their interest in dating and marriage, in babies, and even in sex.

However, the coronavirus has enhanced the country's problems, with marriages and pregnancy numbers falling this year. While finding the perfect mate feels impossible, especially when people's interaction is prohibiting due to COVID-19 lockdowns.

Can AI Influence the Birth rate?

AI cracking one problem after another, install it to help encourage some romance in a place where romance is sorely needed may not be a bad idea. The number of underlying beliefs is there. Let's unwrap some:

Dating

•  The AI "love bomb" belief that there is a direct relationship between making a family and wanting a date. For the reporting, adult Japanese have been losing interest in making the relationship even in dating. But if the bot's intelligent algorithm gets to change their minds about making family and dating. Creating a family usually derives from an underlying value system that commits to decades of upraise kids appear worthwhile. AI can help in arrange more dates faster than any human without trigger more births.

Cultural

• Now a day, one specific problem noticed in Japan is cultural, there is a strong expectation that women do it all: pursue their jobs outside the home, all housework they have to do, and take responsibilities to raise/care for the children. That is only why gender equality ranking japan is placed at 121st position out of 153 countries, and 11 places decline the year before, as the pressure increased on Japanese women go into full-time employment as they want to bolster the flagging the number of workers.

In a country with a long history of people matchmakers, the local government already turned on AI matching systems to pair up humans by considering certain norms such as age and income and only produce results if there is an exact match. 

• The Japanese government believes that an advanced AI matchmaking system to stem the country's falling birth rate.


• The system takes into account hobbies, values, income, and age.

Role of Algorithms

Japan is subsidizing billions in AI matchmaking for its citizens. But again, the question is arising, can algorithms predict love?

AI is already being used in various dating apps to connect people as well as a tool for community improvement. AI is used to identify or verify filter offensive content and user photos. The algorithm in any app that involves swiping left or right assigns each user a value of grouping depends on the number of people like "her or him," and based on these sorts of deals, the order to display potential matches are determined.

But basing economic initiative and public health on the efficacy of the matchmaking algorithm, the question arises- do they even work?

Well, the whole thing is impartially shocking. But on some level, it's working – in some countries, online dating is now the number one way couples meet… And what is the algorithm supposed to do about that? Can the app solve all problems? Well, the algorithm won't do one thing for us is to have kids.

Bringing the algorithms into the pictures doesn't make it much more comfortable –those who used a dating app realize that because "Love is complicated." But desperate times call for desperate measures, and some countries like Japan seems to be in desperate times. 

Since matchmaking algorithms became popular a decade ago, they have only gotten more and more complex. They matched people based on their interests, hobbies, dislikes and likes, sense of humor, and age and location. But the constant advancement of these algorithms is antithetical to what research says about them: the better, the simple. Because, after all, love is not a formula. But on online matchmaking sites, it will be a straightforward volume game. So, despite the complexity, or algorithm ability to consider a range of issues – from lifestyle, family, career, language, education, and personal interests as a Matrimony.com – straightforward it doesn't work, experts say still algorithm fails to predict whether people will have a successful relationship along with each other. 

Matrimony sites are not interested in matchmaking; they are only making money; their aim is only getting users to keep visiting the site.  

Conclusion

An algorithm of online matchmaking is the main draw of such platforms, especially those matchmaking sites that promise happy marriages and long term relationships. But when someone meets the love of their life online, they found it is finally paid off, and the number of people didn't work out. It shows an algorithm cannot do any better job because it will develop often known after the romantic relationship begins. People want to believe in some kind of magic algorithm that sense to know them better than they know themselves "because meeting one- on- one is exhausting." Without people investing energy and time into the individuals they swipe on, without experiencing life's ups and downs together, there is no other way of knowing if they want to happy ever after together without meeting in real life.

References

Calegari, R., Ciatto, G., Denti, E., & Omicini, A. (2020). Logic-Based Technologies for Intelligent Systems: State of the Art and Perspectives. Information, 11(3), 167.

Moloi, T., & Marwala, T. (2020). Artificial Intelligence in Economics and Finance Theories. Advanced Information and Knowledge Processing,pp. 1-123.

Tseng, H. T., Huang, H. H., & Hsieh, C. C. (2020). Active Aging AI Community Care Ecosystem Design. In International Conference on Human-Computer Interaction (pp. 196-208). Springer, Cham.