Toward Secure and Trustworthy AI that Supports a Sustainable Society - The Relentless Challenge of AI Ethics and Their Penetration

Fujitsu / April 25, 2022

While the application of AI in all industrial fields is expected to solve social issues around the world, ethical perspectives are becoming an issue on how AI should be used.

Fujitsu's Purpose is "to make the world more sustainable by building trust in society through innovation."
In order to accelerate the penetration of cutting-edge technologies into society and to ensure trust, in February 2022 Fujitsu established the AI Ethics and Governance Office as a group command post for the promotion of AI ethics.
The office was set up to strengthen "trust" in Fujitsu by implementing measures to actively promote ethics related to the research, development, and implementation of advanced technologies.

What is the point of AI ethics? How should we promote governance to utilize responsible and trustworthy AI? We interviewed with Junichi Arahori, Head of the AI Ethics and Governance Office, the initiator of this organization.

"AI Ethics" is required now to maximize the value of AI

What do you think about the reasons for the current global demand for AI ethics?
Arahori: AI is certainly a wonderful tool, but on the other hand, various threats and inconveniences have been reported. There is a growing debate on strengthening AI regulations against the oligopoly of giant IT companies, the invasion of privacy by AI, and the manipulation of public opinion and public scrutiny.
AI learns from large amounts of data, statistically captures its trends, and makes predictions. Therefore, while trends are calculated for the entire population, the individuality of each person may be discarded. Moreover, if the data used to train AI has an inherent bias, the results it produces may also have a prejudicial or discriminatory bias.
For example, there is a case of an AI service for a recruiting test. When a company introduced this service for evaluating job applications, the company got embarrassed because the only men were proceeded to the interview test. Then, the training data was examined and found that it had inherent bias - the company had more hired men than women in the past. As a result, the AI recommend was heavily biased toward men. This case can easily happen.
If we blindly use AI without understanding its characteristics or correcting biases, we will make prejudicial or discriminatory decisions. It will be cause of unfairness and inequality.

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