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A human-centered and humanistic approach;
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Respect for human autonomy and free will;
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Compliance with the law;
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Non-discrimination;
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Risk and humanitarian impact assessment.
Dmitry Chernyshenko, Deputy Prime Minister of the Russian Federation, stressed the need for such a document: "We must work to ensure that society has reasons to be confident that the state protects. And we must do this by developing state and public ethical regulation in these areas."
Documents similar to the Russian Code are present in more than 20 other countries. Similar sets of regulations exist in corporations around the world, as well as in states.
Implementation of the Code and other documents in the field of AI will prevent threats to people's rights and values as new technologies are introduced into the world we are used to.
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Companies that are members of the Alliance signed the Code on October 26, 2021. The signing took place at the First International Forum "Ethics of Artificial Intelligence (AI): The Beginning of Trust" held in Moscow.
Photo courtesy of the press office of the forum
The code is designed to protect human rights and freedoms at the stage of the development of AI technologies. Companies that work with AI took it upon themselves to take care of the Russians before the introduction of regulations by Russian law. This set of recommendations will help form a relationship of trust between people and innovative technology. The members of the Alliance and the Analytical Center under the Government of the Russian Federation were involved in the creation of the Code.
The content of the Code is of recommendatory nature and takes into account the legal norms of the Russian Federation. Participants of the AI market that are not members of the Alliance may voluntarily express their agreement with the principles of the Code by becoming its signatories. It is expected that other Russian companies that work with AI will also become signatories to the Code.
To see the complete list of companies that have joined the Code, visit the official website of the AI Alliance. You can also read the contents of the Code and access it there.
The Code sets out voluntary requirements for participants and stakeholders who work with AI technologies. Here are the key principles of working with AI that have been reflected in the Code:
-
A human-centered and humanistic approach;
-
Respect for human autonomy and free will;
-
Compliance with the law;
-
Non-discrimination;
-
Risk and humanitarian impact assessment.
Dmitry Chernyshenko, Deputy Prime Minister of the Russian Federation, stressed the need for such a document: "We must work to ensure that society has reasons to be confident that the state protects. And we must do this by developing state and public ethical regulation in these areas."
Documents similar to the Russian Code are present in more than 20 other countries. Similar sets of regulations exist in corporations around the world, as well as in states.
Implementation of the Code and other documents in the field of AI will prevent threats to people's rights and values as new technologies are introduced into the world we are used to.
[DETAIL_TEXT_TYPE] => html [~DETAIL_TEXT_TYPE] => html [PREVIEW_TEXT] => About 20 Russian companies, such as Gazprom, Sber, and Yandex, have signed the code. Earlier on, these corporations and... [~PREVIEW_TEXT] => About 20 Russian companies, such as Gazprom, Sber, and Yandex, have signed the code. Earlier on, these corporations and a few others had joined together to form the Alliance in the Sphere of Artificial Intelligence. The Alliance’s mission is to ensure Russia’s technological leadership in the global market in the field of AI. The Code is a set of norms and principles for participants in relations in the field of artificial intelligence in Russia. [PREVIEW_TEXT_TYPE] => html [~PREVIEW_TEXT_TYPE] => html [PREVIEW_PICTURE] => [~PREVIEW_PICTURE] => [LANG_DIR] => /en/ [~LANG_DIR] => /en/ [CODE] => leading-russian-corporations-have-signed-the-code-of-ethics-for-ai [~CODE] => leading-russian-corporations-have-signed-the-code-of-ethics-for-ai [EXTERNAL_ID] => 364 [~EXTERNAL_ID] => 364 [IBLOCK_TYPE_ID] => content_en [~IBLOCK_TYPE_ID] => content_en [IBLOCK_CODE] => [~IBLOCK_CODE] => [IBLOCK_EXTERNAL_ID] => [~IBLOCK_EXTERNAL_ID] => [LID] => en [~LID] => en [EDIT_LINK] => [DELETE_LINK] => [DISPLAY_ACTIVE_FROM] => 20.12.2021 [FIELDS] => Array ( ) [PROPERTIES] => Array ( [CATEGORY] => [TECHNOLOGIES] => ) [DISPLAY_PROPERTIES] => Array ( ) [IPROPERTY_VALUES] => Array ( ) [TAGS] => Array ( ) [isVisible] => 1 ) [3] => Array ( [ID] => 494 [~ID] => 494 [IBLOCK_ID] => 54 [~IBLOCK_ID] => 54 [IBLOCK_SECTION_ID] => 63 [~IBLOCK_SECTION_ID] => 63 [NAME] => How Neural Networks Are Changing The Real Estate Market [~NAME] => How Neural Networks Are Changing The Real Estate Market [ACTIVE_FROM] => 20.12.2021 [~ACTIVE_FROM] => 20.12.2021 10:26:13 [TIMESTAMP_X] => 21.01.2022 17:59:02 [~TIMESTAMP_X] => 21.01.2022 17:59:02 [DETAIL_PAGE_URL] => /en/review/how-neural-networks-are-changing-the-real-estate-market/ [~DETAIL_PAGE_URL] => /en/review/how-neural-networks-are-changing-the-real-estate-market/ [LIST_PAGE_URL] => /en/review/ [~LIST_PAGE_URL] => /en/review/ [DETAIL_TEXT] =>
The practical work of AI
Artificial intelligence in this case should be understood as neural network technology that allows the system to learn patterns from the existing database. Neural networks help real estate agencies, construction, and management companies to create new databases, process appeals, conduct surveys and do analysis.
Photo: Vitaly Timkiv / RIA Novosti
For example, the Realiste neural network has identified the most appealing districts in St. Petersburg in terms of investment. It analyzed all locations of the city, taking into account 48 parameters. Similar technologies work in other ways — property owners use special services to assess their properties before they are sold. In turn, real estate aggregators use smart selection to simplify and speed up the buyers’ search for houses.
In addition to developers and realtors, banks are also interested in the development of AI in real estate. Since the financing of shared construction began through escrow accounts, banks have become more involved in the real estate market.
In 2018, Sberbank implemented Russia’s first neural network for real estate valuation. This technology allows the bank to quickly evaluate real estate that borrowers offer as collateral. Yaroslav Shuvaev, one of the heads of Ak Bars Digital Technologies, shared that a job that would take a person hours to do, AI can do in a few seconds. The application of AI in the real estate market is expected to reduce the costs associated with analysis by about 50%.
AI technology in construction
Artificial intelligence’s extensive ability to process data has made it a natural tool in building modeling. Neural networks work with a vast array of information from a database to create a three-dimensional model of a building or structure. All the changes introduced into the design change the rest of the associated parameters. But the possibilities of artificial intelligence in construction are not limited to this.
The design company Genpro uses several of its own AI products in its work. One of them helps create hundreds of building concepts in real-time on a specific plot of land — the first results are produced in half an hour. The program allows architects to avoid weeks of routine work. The second product helps the company to optimize the cost of design solutions, saving millions of rubles.
Why we shouldn’t fear that neural networks will cut jobs in real estate
AI technology can help humans cope with many tasks, but there is no need to fear that it will create competition for professionals. Artificial intelligence will simplify the work of architects and managers of real estate agencies. With their help it is possible to save time while performing important tasks: formation of databases, analytics of market indicators, and unloading of call centers.
Nevertheless, artificial intelligence will not be able to replace a «live expert» in the foreseeable future. A program or a robot, unlike a human, will not be able to feel the needs of the client, be creative, create innovations, and design complex architectural and design solutions. The task of artificial intelligence in the real estate market at this stage is to help perform routine tasks and automate labor-intensive work in order to reduce costs, which will have a favorable effect on the economy.
[~DETAIL_TEXT] =>The practical work of AI
Artificial intelligence in this case should be understood as neural network technology that allows the system to learn patterns from the existing database. Neural networks help real estate agencies, construction, and management companies to create new databases, process appeals, conduct surveys and do analysis.
Photo: Vitaly Timkiv / RIA Novosti
For example, the Realiste neural network has identified the most appealing districts in St. Petersburg in terms of investment. It analyzed all locations of the city, taking into account 48 parameters. Similar technologies work in other ways — property owners use special services to assess their properties before they are sold. In turn, real estate aggregators use smart selection to simplify and speed up the buyers’ search for houses.
In addition to developers and realtors, banks are also interested in the development of AI in real estate. Since the financing of shared construction began through escrow accounts, banks have become more involved in the real estate market.
In 2018, Sberbank implemented Russia’s first neural network for real estate valuation. This technology allows the bank to quickly evaluate real estate that borrowers offer as collateral. Yaroslav Shuvaev, one of the heads of Ak Bars Digital Technologies, shared that a job that would take a person hours to do, AI can do in a few seconds. The application of AI in the real estate market is expected to reduce the costs associated with analysis by about 50%.
AI technology in construction
Artificial intelligence’s extensive ability to process data has made it a natural tool in building modeling. Neural networks work with a vast array of information from a database to create a three-dimensional model of a building or structure. All the changes introduced into the design change the rest of the associated parameters. But the possibilities of artificial intelligence in construction are not limited to this.
The design company Genpro uses several of its own AI products in its work. One of them helps create hundreds of building concepts in real-time on a specific plot of land — the first results are produced in half an hour. The program allows architects to avoid weeks of routine work. The second product helps the company to optimize the cost of design solutions, saving millions of rubles.
Why we shouldn’t fear that neural networks will cut jobs in real estate
AI technology can help humans cope with many tasks, but there is no need to fear that it will create competition for professionals. Artificial intelligence will simplify the work of architects and managers of real estate agencies. With their help it is possible to save time while performing important tasks: formation of databases, analytics of market indicators, and unloading of call centers.
Nevertheless, artificial intelligence will not be able to replace a «live expert» in the foreseeable future. A program or a robot, unlike a human, will not be able to feel the needs of the client, be creative, create innovations, and design complex architectural and design solutions. The task of artificial intelligence in the real estate market at this stage is to help perform routine tasks and automate labor-intensive work in order to reduce costs, which will have a favorable effect on the economy.
[DETAIL_TEXT_TYPE] => html [~DETAIL_TEXT_TYPE] => html [PREVIEW_TEXT] => Artificial intelligence has begun to penetrate into all spheres of life, and the real estate market is no exception.... [~PREVIEW_TEXT] => Artificial intelligence has begun to penetrate into all spheres of life, and the real estate market is no exception. If any new technology shows effectiveness in tests, it begins to be used in practice. In this respect, artificial intelligence in real estate shows interesting results. [PREVIEW_TEXT_TYPE] => html [~PREVIEW_TEXT_TYPE] => html [PREVIEW_PICTURE] => [~PREVIEW_PICTURE] => [LANG_DIR] => /en/ [~LANG_DIR] => /en/ [CODE] => how-neural-networks-are-changing-the-real-estate-market [~CODE] => how-neural-networks-are-changing-the-real-estate-market [EXTERNAL_ID] => 363 [~EXTERNAL_ID] => 363 [IBLOCK_TYPE_ID] => content_en [~IBLOCK_TYPE_ID] => content_en [IBLOCK_CODE] => [~IBLOCK_CODE] => [IBLOCK_EXTERNAL_ID] => [~IBLOCK_EXTERNAL_ID] => [LID] => en [~LID] => en [EDIT_LINK] => [DELETE_LINK] => [DISPLAY_ACTIVE_FROM] => 20.12.2021 [FIELDS] => Array ( ) [PROPERTIES] => Array ( [CATEGORY] => [TECHNOLOGIES] => ) [DISPLAY_PROPERTIES] => Array ( ) [IPROPERTY_VALUES] => Array ( ) [TAGS] => Array ( ) [isVisible] => 1 ) [4] => Array ( [ID] => 497 [~ID] => 497 [IBLOCK_ID] => 54 [~IBLOCK_ID] => 54 [IBLOCK_SECTION_ID] => 63 [~IBLOCK_SECTION_ID] => 63 [NAME] => The Federal Artificial Intelligence Project - Its Goals, Prospects, and Benefits [~NAME] => The Federal Artificial Intelligence Project - Its Goals, Prospects, and Benefits [ACTIVE_FROM] => 20.12.2021 [~ACTIVE_FROM] => 20.12.2021 10:20:06 [TIMESTAMP_X] => 21.01.2022 17:59:04 [~TIMESTAMP_X] => 21.01.2022 17:59:04 [DETAIL_PAGE_URL] => /en/review/the-federal-ai-project/ [~DETAIL_PAGE_URL] => /en/review/the-federal-ai-project/ [LIST_PAGE_URL] => /en/review/ [~LIST_PAGE_URL] => /en/review/ [DETAIL_TEXT] =>In the summer of 2020, President Vladimir Putin held an online meeting discussing communications and the IT industry. During the broadcast, the President recalled that in 2019, the National Strategy for the Development of Artificial Intelligence for the period up to 2030 was approved. The President noted that in order to implement it, a step-by-step action plan was needed. Such a plan became the Federal Artificial Intelligence Project, which will regulate the development of the industry. It was developed by the Ministry of Economic Development of Russia, and the Ministry of Digital Economy, together with Sberbank Competence Center, and ANO Digital Economy.
Photo: Sergey Guneev / RIA Novosti
The project identified key targets to implement by the end of 2024 and allocated 31.5 billion rubles to them. Most of the funding will be taken by the federal budget - 24.6 billion rubles. From non-budgetary sources, it is planned to get 6.9 billion rubles.
The project plans to:
-
Achieve 45 technological goals;
-
Train 2,650 graduates every year in AI-related professions;
-
Support 1,200 AI companies by 2025;
-
Double the size of the AI community.
Information about the government support programs is available on the website of the Ministry of Economic Development of the Russian Federation.
The project roadmap fully reflects the essence, goals, and plans of the project. The document contains an analysis of the AI market with potential projections for the end of the project terms. In the targeted goals for 2021 and 2024 certain milestones are planned in the development of AI technologies. For example, by 2024 it is planned to create AI that will diagnose disease in humans based on their MRI or ultrasound.
A special scorecard has been created for project leaders. In the scorecard, the leaders will evaluate the results of the project in points. This scorecard is something like a diary, in which there will be scores within a one-year period. The scores will show a picture of the achievement of the various objectives of the project.
The Russian government will regularly measure the "AI maturity" index of federal ministries and agencies. The point is to ensure that digital transformation takes place at the state level. This is done in order to track the readiness of state authorities for future technological implementations.
Why should ministries and agencies implement AI in the first place? Deputy Prime Minister Dmitry Chernyshenko explained that all changes in the industry start with the federal government agencies:
"Every federal executive body should start by carrying out internal digital transformation and implementation of artificial intelligence, and then it can go ahead and make reforms in the industry that it is involved in."
The government is introducing AI into all existing industries, including transportation, fuel and energy, agriculture, industry, education, and health care.
This project will make domestic developments in the field of AI more competitive in the global market. The level of technology development in Russia at the moment enables the country to become one of the leaders in this industry.
[~DETAIL_TEXT] =>In the summer of 2020, President Vladimir Putin held an online meeting discussing communications and the IT industry. During the broadcast, the President recalled that in 2019, the National Strategy for the Development of Artificial Intelligence for the period up to 2030 was approved. The President noted that in order to implement it, a step-by-step action plan was needed. Such a plan became the Federal Artificial Intelligence Project, which will regulate the development of the industry. It was developed by the Ministry of Economic Development of Russia, and the Ministry of Digital Economy, together with Sberbank Competence Center, and ANO Digital Economy.
Photo: Sergey Guneev / RIA Novosti
The project identified key targets to implement by the end of 2024 and allocated 31.5 billion rubles to them. Most of the funding will be taken by the federal budget - 24.6 billion rubles. From non-budgetary sources, it is planned to get 6.9 billion rubles.
The project plans to:
-
Achieve 45 technological goals;
-
Train 2,650 graduates every year in AI-related professions;
-
Support 1,200 AI companies by 2025;
-
Double the size of the AI community.
Information about the government support programs is available on the website of the Ministry of Economic Development of the Russian Federation.
The project roadmap fully reflects the essence, goals, and plans of the project. The document contains an analysis of the AI market with potential projections for the end of the project terms. In the targeted goals for 2021 and 2024 certain milestones are planned in the development of AI technologies. For example, by 2024 it is planned to create AI that will diagnose disease in humans based on their MRI or ultrasound.
A special scorecard has been created for project leaders. In the scorecard, the leaders will evaluate the results of the project in points. This scorecard is something like a diary, in which there will be scores within a one-year period. The scores will show a picture of the achievement of the various objectives of the project.
The Russian government will regularly measure the "AI maturity" index of federal ministries and agencies. The point is to ensure that digital transformation takes place at the state level. This is done in order to track the readiness of state authorities for future technological implementations.
Why should ministries and agencies implement AI in the first place? Deputy Prime Minister Dmitry Chernyshenko explained that all changes in the industry start with the federal government agencies:
"Every federal executive body should start by carrying out internal digital transformation and implementation of artificial intelligence, and then it can go ahead and make reforms in the industry that it is involved in."
The government is introducing AI into all existing industries, including transportation, fuel and energy, agriculture, industry, education, and health care.
This project will make domestic developments in the field of AI more competitive in the global market. The level of technology development in Russia at the moment enables the country to become one of the leaders in this industry.
[DETAIL_TEXT_TYPE] => html [~DETAIL_TEXT_TYPE] => html [PREVIEW_TEXT] => The key objective of the Federal Artificial Intelligence Project is to create favorable conditions for the growth of native... [~PREVIEW_TEXT] => The key objective of the Federal Artificial Intelligence Project is to create favorable conditions for the growth of native technologies in the emerging industry that will lead to the growth of the Russian economy in the future. [PREVIEW_TEXT_TYPE] => html [~PREVIEW_TEXT_TYPE] => html [PREVIEW_PICTURE] => [~PREVIEW_PICTURE] => [LANG_DIR] => /en/ [~LANG_DIR] => /en/ [CODE] => the-federal-ai-project [~CODE] => the-federal-ai-project [EXTERNAL_ID] => 362 [~EXTERNAL_ID] => 362 [IBLOCK_TYPE_ID] => content_en [~IBLOCK_TYPE_ID] => content_en [IBLOCK_CODE] => [~IBLOCK_CODE] => [IBLOCK_EXTERNAL_ID] => [~IBLOCK_EXTERNAL_ID] => [LID] => en [~LID] => en [EDIT_LINK] => [DELETE_LINK] => [DISPLAY_ACTIVE_FROM] => 20.12.2021 [FIELDS] => Array ( ) [PROPERTIES] => Array ( [CATEGORY] => [TECHNOLOGIES] => ) [DISPLAY_PROPERTIES] => Array ( ) [IPROPERTY_VALUES] => Array ( ) [TAGS] => Array ( ) [isVisible] => 1 ) )