Study of data transaction-centered artificial intelligence data annotation industry

Qinyang Chen; Lianglun Cheng; Xi Chen

doi:10.1117/12.2671467

21 March 2023 Study of data transaction-centered artificial intelligence data annotation industry

Qinyang Chen, Lianglun Cheng, Xi Chen

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126091F (2023) https://doi.org/10.1117/12.2671467
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Since 2016, which is regarded as the first year of the Era of Artificial Intelligence, the AI industry has been progressing rapidly with the fast development of mobile Internet and the massive generation of data. With data labeling the first key link of transferring human wisdom to machines or algorithms, the front end of building the AI industry chain is the need for a strong and powerful data labeling industry. The traditional data labeling industry is a labour-intensive industry that sells labour for cheap pay, and the data they label often does not belong to the labeling company itself, but to the data labeling commissioner. In this paper, we propose to build a data labeling industry centered on data trading, which is dedicated to transforming the data labeling company itself into a “big data company” to obtain ownership of the data. Thus, a large amount of labeled data for scenarios can be circulated through the “big data exchange” and other channels, promoting the rapid development of the overall artificial intelligence industry.

Citation Download Citation

Qinyang Chen, Lianglun Cheng, and Xi Chen "Study of data transaction-centered artificial intelligence data annotation industry", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126091F (21 March 2023); https://doi.org/10.1117/12.2671467

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