Digest 144

May 11, 2021 Subsribe

SPBILF 2019 Discussion Sessions

A column providing details of themes which will become the key topics to discuss at the Forum.

Discussion Session 'Depersonalization of Data as a Way to Protect the Rights of Citizens and Stimulate Business Development' ►

Discussion Session 'Codes of Ethics as a Form of Self-Regulation' ►

Discussion Session 'Synergy of AI Systems to Improve the Efficiency of Lawyers' ►

Discussion Session 'Over the Next Five Years, Robots will Replace Lawyers. Myth or Reality?' ►




Discussion Session 'Depersonalization of Data as a Way to Protect the Rights of Citizens and Stimulate Business Development'

Data can be viewed as building blocks that are used to develop new technologies such as artificial intelligence, improve existing services, make algorithms smarter, and develop the digital economy.

Greater use of data could lead to 0.3% of Russia's GDP growth by 2024, amounting to 1.3 trillion rubles. The estimated market volume could reach 300 billion by 2024.

Big data processing makes a significant contribution to technical progress in the key areas of social life and is conducive to the emergence of new markets and business models. The development of this industry will create a large number of attractive jobs, increase revenues and improve the efficiency of traditional industries such as trade and mining.

Leading data players in the market are actively developing various mechanisms to optimize their data-driven businesses and build new lines of business using algorithms and data.

Such projects require legislative incentives.

The current legislation contains a number of barriers to data processing, including restrictions on access to government data that is not restricted information.

For removing such barriers, it is proposed to define a legal regime for anonymous (fully depersonalized) data, which irreversibly lost its connection with a specific physical person. In this case, data can be processed freely outside the legal regime of personal data, subject to acceptable methods of depersonalization that may be established at the enabling legislation level.

Replacing personal data with synthetic depersonalized identifiers will minimize the risks to citizens in the event of leaks or other unauthorized access to data. All businesses aim to minimize the collection and storage of personal data, as it is a big risk for commercial organizations that protect their own databases.

Free use of fully anonymized data will also create incentives for business development by allowing various companies to enrich each other's data and form data lakes and sandboxes.

For the state, solving the problems of regulation in the field of data management will mean increasing the national competitiveness of all industries through the interface of advanced technologies: artificial intelligence, big data, Internet of things, machine learning, and others.

The round table will address the following questions:

  • development factors of big data and artificial intelligence, impeding regulatory and administrative barriers;
  • depersonalization of data as a factor in protecting and minimizing data processing;
  • using depersonalized data as a business development factor in big data analytics;
  • methods of data depersonalization;
  • major directions for establishment of legislation aimed at comprehensive regulation of relations in the field of data;
  • major directions for development of legislation in the field of collection, transfer, storage, processing, and providing access to data sets;
  • using big data for development of artificial intelligence technologies;
  • industry standards for collection, storage and processing of industrial data, rules and standards for the exchange of industrial data, including between industries; access to industrial data;
  • non-discriminatory business access to government data, formation of principles and standards for access to government data; and
  • issues in the regulation of various types of privileged information.

Discussion Session 'Depersonalization of Data as a Way to Protect the Rights of Citizens and Stimulate Business Development' ►




Discussion Session 'Codes of Ethics as a Form of Self-Regulation'

Due to modern legal arrangements characterized by great diversity, it is necessary to address a very wide range of issues and elaborate the legislation in this area, as it clearly lags behind the needs of legal practices. In this regard, the relevance of self-regulation of modern sectors of the economy becomes evident, including through preparation of codes of ethical conduct for participants of legal relations. Such codes of ethics establish the basic principles of interaction of organizations among themselves and organizations with citizens and the state, as well as form the basis for subsequent regulatory initiatives in this area.

Codes of ethics are sets of industry standards of professional and ethical behavior that must be observed by participants of legal relations.

To date, a number of codes of ethics have been adopted in Russia and foreign countries.

For example, in Russia, at the end of 2019, major companies together with the Big Data Association and the Internet Development Institute signed the Data Ethics Code, a business self-restriction tool that independently established rules of good conduct for data market participants.

In order to establish rules for the use of artificial intelligence by businesses and implement the National Strategy for the Development of Artificial Intelligence for the period until 2030, Sberbank developed a 'code of ethics' for application of artificial intelligence (AI).

At the end of 2020, the Bank of Russia and the Federal Antimonopoly Service of the Russian Federation made a joint statement, in which they indicated that in order to ensure ethical and bona fide behavior of financial market professionals, as well as information transparency of financial market participants’ activities, regulators recommend to adopt a code of ethics regulating issues of bona fide behavior of market participants.

The round table will address the following questions:

  • self-regulation instruments for digital economy;
  • the balance of government regulation and self-regulation;
  • self-regulation of the Big Data market;
  • self-regulation in the field of Artificial Intelligence;
  • codes of ethics as a form of regulation and self-regulation;
  • best practices in self-regulation.

Discussion Session 'Codes of Ethics as a Form of Self-Regulation' ►




Discussion Session 'Synergy of AI Systems to Improve the Efficiency of Lawyers'

On May 18 at SPbILF 9 ¾, representatives of nlogic and Urait will talk about digital solutions for legal departments and firms that are currently available on the market. Speakers will discuss systems from different categories, from highly specialized legal products to the largest CRM systems, and share their own experience how to learn to navigate in this plethora in order to choose what will really improve the transparency and efficiency of your work. The round table will be moderated by Anna Serebryanikova, President of the Big Data Association.

During this session the experts will present a joint project related to quality management of claims work through the integration of nlogic solutions with one of the largest CRM systems. This project led to improvement and automation of several processes, which had not been possible with the existing CRM system.

Introduction of nlogic products reduced the time needed for report compilation by the CRM system users significantly, saving 95% of the time spent on the filing of cases and 85% of the time on the preparation of documents.

If you want to find out how the companies achieved these results, and maybe try their experience for yourself in the future, join the online round table 'Synergy of AI systems to improve the efficiency of lawyers' on May 18.

Discussion Session 'Synergy of AI Systems to Improve the Efficiency of Lawyers' ►




Discussion Session 'Over the Next Five Years, Robots will Replace Lawyers. Myth or Reality?'

LegalTech market in Russia is not yet among the world leaders, and there is a simple explanation: in most cases, lawyers are very conservative in their views and are not yet ready to fully rely on algorithms.

At the same time, it is impossible to deny that technology becomes pervasive in the world of law, as more and more legal departments and firms are implementing digital solutions in their work. Many of our colleagues have already seen that the proper use of AI technologies makes it possible to significantly increase the transparency and efficiency of most standard processes. AI technologies have come into our lives to free professionals from the routine and give an opportunity to devote more time to creative and substantive tasks.

You do not know how to get rid of daily paperwork and routine tasks? Tired of hundreds of identical contracts, lawsuits, powers of attorney, and other documents?

Join the discussion, we will tell and show how to increase efficiency of your standard processes and reduce the time for creating documents from hours to minutes or even seconds!

Discussion Session 'Over the Next Five Years, Robots will Replace Lawyers. Myth or Reality?' ►





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