A socially oriented non-financial development institution and a major organizer of international conventions, congress, exhibitions, business, social and sporting, public, and cultural events.

The Roscongress Foundation – a socially oriented non-financial development institution and a major organizer of international conventions, congress, exhibitions, business, social and sporting, public, and cultural events.

The Foundation was established in 2007 with the aim of facilitating the development of Russia’s economic potential, promoting its national interests, and strengthening the country’s image. One of the roles of the Foundation is to comprehensively evaluate, analyse, and cover issues on the Russian and global economic agendas. It also offers administrative services, provides promotional support for business projects and attracting investment, and helps foster social entrepreneurship and charitable initiatives.

Each year, the Foundation’s events draw participants from 208 countries and territories, with more than 15,000 media representatives working on-site at Roscongress’ various venues. The Foundation benefits from analytical and professional expertise provided by 5000 people working in Russia and abroad. In addition, it works in close cooperation with 129 economic partners; industrialists’ and entrepreneurs’ unions; and financial, trade, and business associations from 69 countries worldwide.

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10 October 2019
Vitaliy Milke

Vitaly Milke on Ethics in Artificial Intelligence

The strategies for the development of Artificial Intelligence (AI) in many countries contain separate sections about ethical principles in the development of AI technologies. The AI Development Strategy in Russia also contains guidelines regarding the development of ethical rules for human and AI interaction.

The ethical principles of AI have been described in the documents of various AI developer public organizations and conferences, and the proposed ethical principles reflect the desire for AI to be closely regulated and beneficial to society, safe for humanity, reliable in operation and predictable in action.

All decisions adopted and errors committed by AI should be transparent and accessible for analysis. The privacy and personal data of citizens must be protected. Work on the creation of AI should be conducted in a friendly and open international environment, without an arms race and in compliance with safety and security standards, with all possible risks analyzed. The objectives of self-learning and self-reproducing AI technologies should be tightly regulated and consistent with our universal values, and increase the welfare (economic, social and environmental) of humanity as a whole, as opposed to a single state or organization.

The reality at the moment is very different. For example, according to the Independent, Amazon admitted that company employees listened to customer recordings to improve and retrain Alexa’s voice assistant. The Amazon Alexa privacy settings do not allow you to deny consent to record your voice.

This and many other examples show that corporations store the sensitive and personal data of their customers collected by devices with AI elements, and freely utilize it for their own purposes. Obviously, legislation is required to establish the rules for using Big Data. On the other hand, the use of Big Data cannot be over-regulated, as that would slow down the development of AI technologies, as big data is a feed for AI. The solution is the introduction of ethical standards and legislation that stimulates rather than prohibits.

We need to monitor compliance with the ethical standards of AI in business. It will take a great deal of effort to introduce such standards into society, and this could well take a generation. The result should be that the unauthorized use and analysis of data, including through AI, should be roughly equated to the theft of a wallet or handbag in the underground.

Unfortunately, today excessive attention is paid by the media to AI technologies. Society has raised hopes, at times expecting no less than outright wizardry. Both of the previous ‘winters of artificial intelligence’ led to disappointment among investors and society as a whole due to the excessive expectations they generated.

As a result of the hype, financing for the development of AI systems is often obtained by companies without the proper academic or practical capabilities, but which are good at promoting themselves or even scammers. For example, one Chinese company, after receiving significant government funding for the development of neural network translation systems, used the services of actual simultaneous human translators while passing off their services as a new technology.

Conclusion: Today, ethical principles related to the use of AI technologies primarily depend on the ethical behavior of AI developers and users.

How can we comply with ethical principles related to the use of AI and at the same time create an AI technology market in Russia? Read more in the next article. Stay tuned!

Material prepared by:
Vitaly Milke
Advisor to the President for Economy and Finance, JSC Business Alliance
PhD reseacher in Computer Science & Machine Learning

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