Data and Algorithms: Ethical Issues

Data and Algorithms: Ethical Issues

The Global IT Cooperation Center participated in the International Conference on Machine Learning, Data Analysis and Artificial Intelligence (AI) Technologies Data Fusion, held in Moscow on April 13-14.

Data and Algorithms: Ethical Issues

As Anna Abramova, director of the MGIMO AI Center, noted in a session titled "Ethical Issues in Data Fusion," ethical dilemmas in this area are relevant to the entire international community.

"The growing number of high-profile cases puts on the agenda the need to seek an optimal regulatory regime that could help strike a balance between encouraging technological development and, where necessary, restricting the development of individual algorithmic technologies for security purposes," she said.

In turn, Anton Gorelkin, the deputy chairman of the Committee on Information Policy, Information Technology and Communications of the State Duma of Russia, emphasized that at the moment the world community has no clear "image of the future" of the development of artificial intelligence.

"We have a difficult question that needs to be solved: How to limit the use of artificial intelligence technologies for criminal purposes ... we would not really want to go down the path of bans. I think there has to be a more elegant solution, given that we are talking about artificial intelligence. Maybe we should look at their mandatory training in basic ethical principles.” he also emphasized. 

Vadim Glushchenko, Director of the Center for Global IT Cooperation, recalled in his speech that the specialized UN platform continues to gather opinions from the global IT expert community to form a unique international "soft law" document - the Global Digital Compact - which, as envisioned by UN Secretary General Alexander Guterres, will contain the general principles of an “open, free and secure digital future for all". Thus, every interested user in the world now has the chance to participate in determining the future of the Internet as a whole, as well as the principles for regulating AI technologies.

During the discussion, the protection of personal data used for AI training, among other things, was a recurring topic of discussion. Data has become the "new oil" in today's rapidly "digitalizing" world as Vadim Gluschenko emphasized.

"In the emerging Global Digital Compact, there are two very important points. It will be about the ability of users to have a choice about the use of their data, including personal data. Among other things, the document is expected to spur regulation of AI technologies. These two directions will probably make it possible to protect users to some extent from artificial intelligence technologies being used for illegal purposes," he added.

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