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Strategic technology: prospects and risks of generative AI

The Roscongress Foundation has published a study on the development of generative neural networks. We talk about the opportunities, risks and future of AI that researchers have identified

What’s happening

  • Roscongress studied the risks and prospects associated with the development of generative neural networks.
  • Generative neural networks are neural networks that generate texts, images, video, audio, presentations and other works. Examples of generative neural networks are ChatGPT and Midjourney .
  • According to a survey conducted among 12,000 participants at the World Economic Forum in Davos in 2023, artificial intelligence has become the most important strategic technology.
  • According to Next Move Strategy Consulting, by 2030 the market for AI-related products will grow almost tenfold to $2 trillion. Most AI technologies will appear in the areas of supply chain management, marketing, product design and data analysis.
  • The leading countries in terms of investment in the development of AI and the number of scientific publications are China and the United States.
  • Among the risks associated with the development of neural networks, the authors of the study identified:
  1. Problems with identification of texts generated by AI.
  2. Legal difficulties associated with the use of data collected on the Internet.
  3. Use of data relating to banking, commercial, medical and other types of secrets.
  4. Generation of politically biased texts by a neural network.
  • Among the prospects for the development of AI is the improvement of performance in areas where the cost of error is small.
  • The researchers also noted that the most profitable scenario for Russia is the creation of its own competitive solutions, and not a ban on the use of foreign ones.

What does it mean

The development of generative artificial intelligence (GAI) can have huge potential for society in various fields, including science, medicine, manufacturing, communication and entertainment.

  1. Manufacturing: GII can help automate manufacturing and streamline manufacturing processes. This can result in cost savings for companies and lower costs for consumers.
  2. Medicine: GII can help improve the accuracy of disease diagnosis and prediction, as well as optimize treatment and the development of new drugs and therapies.
  3. Arts and culture: The GUI can generate various works – texts, music, images. This can save time and costs.
  4. Education: GII can help optimize the learning process and tailor the learning process to the needs of each student.

However, the development of the GII may have negative implications, such as data security and privacy. Therefore, it is important to develop an ethical and legal framework for the use of GAI and to convey to society that artificial intelligence is a tool with which to improve the standard of living. Already today, AI is used to search for missing people, predict natural disasters, develop new drugs and diagnose various diseases.



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