The core theme of AI ethics is ‘fairness’


[첨부1] Cover of DATA INSIGHT No. 27 (Photo = KISTI)

Research on artificial intelligence (AI) ethics in countries world wide found that ‘artificial intelligence’ itself and ‘machine learning’ and ‘deep learning’ technologies were commonly handled. As an in depth ethical topic, ‘fairness’ was handled in a wide range of ways.

The Korea Institute of Science and Technology Information (KISTI, President Kim Jae-soo) published ‘Artificial Intelligence (AI) Ethics Issue Evaluation and Policy Implications through Data Evaluation’ on the thirteenth.

That is the results of analyzing 4199 AI ethics papers from 2000 to 2022 using the Clarivator Web of Science database to introduce domestic and international AI ethics policy trends and analyze AI ethics research trends at a worldwide level.

Papers related to AI ethics are rapidly increasing from 121 in 2017 to 224 in 2018 and 1040 in 2021.

By country, the USA had essentially the most cases with 1,357 cases, followed by the UK (598 cases) and China (562 cases). Korea ranked thirteenth with 116 cases, showing that it remains to be insufficient.

KISTI chosen 42 ethical keywords and 16 AI core technology keywords to investigate AI ethics issues by country in depth and analyzed the market share by country. While each country deals with various topics, Korea had essentially the most papers related to ‘fairness’ at 19.8%.

Most countries were coping with ‘artificial intelligence’, ‘machine learning’, and ‘deep learning’ technologies in AI ethics research. Korea was specializing in ‘reinforcement learning’ and ‘convolutional neural networks’. Italy and Belgium focused on ‘big data’, Singapore on ‘data model’, and Finland and China on ‘reinforcement learning’.

The core ethical topics were different for every detailed technology. Within the expert system, personalization (15.4%) and reliability (19.2%) were mainly studied, and in the info model, fairness (26.5%), privacy (20.6%), personalization (14.7%), and human-centered interaction (11.8%) were essentially the most studied. played a big part.

So Dae-seop, a senior researcher on the Global R&D Evaluation Center, said, “Research on the legal and ethical issues which will arise as generative AI technology, including ChatGPT, becomes commonplace remains to be insufficient in Korea.” It requires lively interest and support from the federal government and academia.”

AI Times Reporter Cho Ye-ju


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