With the key phrases of participation, sharing, and openness, Web 2.0 has developed right into a sharing financial system enterprise mannequin represented by Uber and Airbnb. Uber, which supplies taxi companies by sharing its vehicles with others, doesn’t make a single automotive, however achieved a company worth of USD 60 – 66 billion, just like the world’s prime automakers comparable to GM, Mercedes-Benz, and Audi. Airbnb additionally has not constructed a resort however achieved an analogous company worth to the mixed market capitalization of the three main resort chains, Hilton, Marriott, and Hyatt.
What in regards to the data-sharing enterprise? Will the data-sharing financial system enterprise mannequin succeed? In the meantime, there have been many slogans comparable to “Let’s disclose data!” “Let’s share data!” and “Let’s create a data dam (by collecting such disclosed and shared data).” Can the info be shared, disclosed, and picked up properly within the dam?
Data shouldn’t be solely uncooked materials for AI but additionally a key uncooked materials for the period of the 4th Industrial Revolution. This precious information is an asset to people and firms alike. That’s why neither people nor corporations wish to disclose or share their information. Individuals are additionally required to guard privateness and it’s tough for corporations to legally share their buyer information, and there may be additionally no motive to take action business-wise.
So, each information sharing and information disclosure solely exist as a slogan however not in actuality. To facilitate information sharing and disclosure, the Korean authorities revised the Data 3 Act and made it attainable to make use of de-identified information by pseudonym processing without the consent of the info topic. Banks tried to enhance the efficiency of AI companies supplied to prospects by sharing information with credit standing companies and establishing a platform that may retailer and make the most of person information from many medical establishments. The final authorities tried to construct large information platforms in 16 fields.
These makes an attempt are clearly value seeing, however they aren’t elementary. There are nonetheless issues in regards to the leakage of private data and privateness infringement in de-identified information.
Attempts to share information have continued not solely within the authorities but additionally within the non-public sector. Samsung Group launched Monimo this yr, which shares information between insurance coverage, inventory, and bank card corporations, however it retains having a problem in information sharing comparable to steady client verification. Finally, 4 days after Monimo’s launch, a buyer data leak occurred. Fintech firm Toss lately prompted a stir when it was discovered that they illegally offered buyer data to insurance coverage planners for round USD 60 per case.
These sorts of incidents could trigger data-sharing actions between people and firms to grow to be passive and shrink. In the tip, disclosing and sharing one’s property or information, whether or not it’s a person or an organization, will solely succeed when it’s useful. Even if individuals and firms are pressured to share information, they are going to solely share low-quality information as a result of they have an inclination to pursue their very own pursuits.
As this example continues, solely massive firms or large tech corporations that have already got a whole lot of information and high-end AI manpower could make AI. These massive firms and large tech platforms could have more and more stronger AI, and this can make them extra highly effective financial gamers inflicting the issue of polarization.
So, what’s the different?
To resolve this drawback, AI-Sharing is another. With AI-Sharing, whereas information is owned and maintained by every topic, AI is shared between topics to extend efficiency and decrease prices. In this fashion, particular person companies, small enterprise homeowners, and SMEs can proceed to broaden their buyer entry factors whereas proudly owning information and strengthening AI.
![AI-Sharing Platform](https://www.koreaittimes.com/news/photo/202207/113984_61501_1852.jpeg)
The AI-Sharing platform helps to pursue synergy and administration effectivity by serving to financial entities (companies, governments, and well being organizations, and so forth.) by sharing an AI mannequin, the discovered outcomes, and its varied derived companies. Allowing a dependable AI-sharing platform to share AI moderately than information between financial entities will cut back AI growth prices and enhance the efficiency of the shared AI.
Professor Lee from Kyung Hee University (School of Business & Big Data Applications) klee@khu.ac.kr
Professor Kyoung Jun Lee graduated from KAIST’s Management Science with an undergraduate, Master’s, and Doctor’s diploma, and graduate from Seoul National University’s School of Business with Mater’s and Doctor’s diploma. He additionally studied at Carnegie Mellon, MIT, and UC Berkeley. In 1995, he was the primary Korean to win the Innovative Artificial Intelligence Application Award by the American Society of Artificial Intelligence (AAAI) and in addition gained the 1997 and 2020 (finest awards). He printed three analysis papers in AAAI’s quarterly journal AI Magazine. He is at present specializing in analysis of User-Centric AI with Harex InfoTech. He served because the chairman of the Korea Intelligent Information System Association (2017) and is at present serving because the vice-chairman of the Leading Future Agendas of Business & Society and the senior vice chairman of the Korea Society of Management Information Systems. He chosen 25 Korean AI startups in 2020 and 100 Korean AI startups in 2021. In 2018, he was awarded the Presidential Citation for e-government benefit and is at present a normal member of the National Academy of Engineering of Korea.
Original Source: Reproduced from the Korean model of the IT Chosun on June 20, 2022
저작권자 © Korea IT Times 무단전재 및 재배포 금지