The impact of generative artificial Intelligence on technological progress and business
The impact of generative artificial Intelligence on technological progress and business
Organizer and partners: Innopolis University
Venue: Russia’s Kazan, Kazan Expo International Exhibition Center
Time: 3:00 p.m. local time (12:00 p.m. GMT) on May 16
Director of the Institute of Artificial Intelligence of Innopolis University Ramil Kuleyev moderated the discussion. The participants of the discussion were Head of the Laboratory of Machine Learning and Data Presentation of Innopolis University Adil Khan, Head of the Digital Infrastructure Development Department under the Russian Industry and Trade Ministry Eduard Shantayev, Deputy Chancellor of India’s Bennett University Padath Ajit Abraham, Director General of ISESCO Dr. Salem Bin Mohammed Al Malik, Head of the Recognition System Development Department of Innopolis University Bader Rashid.
One in five industrial companies now uses generative artificial intelligence (AI), with the largest number of applications in marketing and sales. According to experts, generative AI faces new challenges due to the inability to properly apply existing machine learning models and the unpredictability of AI's response to receiving malicious types and formats of information.
"According to some estimates, improvements in labor productivity and workflow optimization by 2030 - if we take the total economic effect - could exceed 600 billion rubles, or 0.3% growth in labor productivity rates. <...> Today, 20% of industrial enterprises use generative AI in one way or another, 66% of them in marketing and sales, 54% in customer service," Head of the Digital Infrastructure Development Department under the Russian Industry and Trade Ministry Eduard Shantayev said.
"AI can perform tasks we never imagined possible, it can transform businesses, especially service industries, but what is the biggest challenge for people, companies, businesses? There are no clear answers on how to use it. <...> Generative AI is based on machine learning models, so it has some limitations. The first is the unreliability of the data itself, <...> the second is resources. Imagine a large language model - billions of parameters - to tune it, to train it on your data, you need huge resources both in terms of computing power and in terms of experts who can do the task. But I think there is an even more serious limitation, and that is the understanding of these models, the inability to apply them correctly, the lack of control and the ability to work within these models," Head of the Laboratory of Machine Learning and Data Presentation of Innopolis University Professor Adil Khan said.
"The more we see the use of generative models, the more regulations will emerge around their use and application. The key thing to say is, if we can integrate trustworthy models, we can meet the regulators and legislation of the future. <...> When it comes to machine learning models, AI models, the growth of their popularity - we need to think about the attacks that are happening, <...> with these manipulations, the models may not behave properly, their behavior may differ from human behavior after the introduction of such malicious types and formats of information," Head of the Recognition System Development Department of Innopolis University Bader Rashid said.
The 15th International Economic Forum "Russia - Islamic World: KazanForum 2024" is being held on May 14-19 in Kazan. This year's keynote is "Trust and Cooperation." The main goal of the forum is to strengthen trade and economic, scientific and technical, social and cultural ties between Russian regions and the countries of the Organization of Islamic Cooperation (OIC), as well as to promote the development of the Islamic financial system institutions in Russia.
Venue: Russia’s Kazan, Kazan Expo International Exhibition Center
Time: 3:00 p.m. local time (12:00 p.m. GMT) on May 16
Director of the Institute of Artificial Intelligence of Innopolis University Ramil Kuleyev moderated the discussion. The participants of the discussion were Head of the Laboratory of Machine Learning and Data Presentation of Innopolis University Adil Khan, Head of the Digital Infrastructure Development Department under the Russian Industry and Trade Ministry Eduard Shantayev, Deputy Chancellor of India’s Bennett University Padath Ajit Abraham, Director General of ISESCO Dr. Salem Bin Mohammed Al Malik, Head of the Recognition System Development Department of Innopolis University Bader Rashid.
One in five industrial companies now uses generative artificial intelligence (AI), with the largest number of applications in marketing and sales. According to experts, generative AI faces new challenges due to the inability to properly apply existing machine learning models and the unpredictability of AI's response to receiving malicious types and formats of information.
"According to some estimates, improvements in labor productivity and workflow optimization by 2030 - if we take the total economic effect - could exceed 600 billion rubles, or 0.3% growth in labor productivity rates. <...> Today, 20% of industrial enterprises use generative AI in one way or another, 66% of them in marketing and sales, 54% in customer service," Head of the Digital Infrastructure Development Department under the Russian Industry and Trade Ministry Eduard Shantayev said.
"AI can perform tasks we never imagined possible, it can transform businesses, especially service industries, but what is the biggest challenge for people, companies, businesses? There are no clear answers on how to use it. <...> Generative AI is based on machine learning models, so it has some limitations. The first is the unreliability of the data itself, <...> the second is resources. Imagine a large language model - billions of parameters - to tune it, to train it on your data, you need huge resources both in terms of computing power and in terms of experts who can do the task. But I think there is an even more serious limitation, and that is the understanding of these models, the inability to apply them correctly, the lack of control and the ability to work within these models," Head of the Laboratory of Machine Learning and Data Presentation of Innopolis University Professor Adil Khan said.
"The more we see the use of generative models, the more regulations will emerge around their use and application. The key thing to say is, if we can integrate trustworthy models, we can meet the regulators and legislation of the future. <...> When it comes to machine learning models, AI models, the growth of their popularity - we need to think about the attacks that are happening, <...> with these manipulations, the models may not behave properly, their behavior may differ from human behavior after the introduction of such malicious types and formats of information," Head of the Recognition System Development Department of Innopolis University Bader Rashid said.
The 15th International Economic Forum "Russia - Islamic World: KazanForum 2024" is being held on May 14-19 in Kazan. This year's keynote is "Trust and Cooperation." The main goal of the forum is to strengthen trade and economic, scientific and technical, social and cultural ties between Russian regions and the countries of the Organization of Islamic Cooperation (OIC), as well as to promote the development of the Islamic financial system institutions in Russia.
