"Conformity or fear of the hardened metal rules among us"
## AI Development: A Collaborative Effort Between State, Science, and Business
In the rapidly evolving landscape of artificial intelligence (AI), the roles of governments, scientists, and businesses are becoming increasingly intertwined. This complex interplay is essential for driving AI growth and ensuring its responsible adoption.
### State's Role in AI Development
Governments are instrumental in fostering AI growth through industrial policies, research support, and investments. For example, China aims to lead in AI by 2030 with its "full stack" approach, encompassing AI chips to applications. However, challenges such as inefficient resource allocation and export controls on AI chips can hinder progress.
### Scientific Advancements in AI
Innovations in AI are driven by scientific breakthroughs in areas like generative AI, edge AI, and AI chips. The rapid growth in AI-related patents, particularly in China, underscores the strategic importance of AI in both commercial and national development agendas.
### Business Sector's Investment in AI
Businesses are heavily investing in AI, with generative AI being adopted by 65% of organizations, yielding significant returns on investment. Companies like NetApp emphasize the importance of a solid data foundation and governance for effective AI deployment. Moreover, AI agents are expected to boost business productivity, expanding the software market significantly.
### Collaboration Opportunities for Universities and Businesses
To address the challenges and opportunities in AI integration, universities and businesses can collaborate in several ways. Research partnerships, talent development programs, ethical AI development initiatives, and practical application projects are all avenues for leveraging each other's strengths to drive AI adoption responsibly and effectively.
The Main Managing Partner for AI Development at VEB.RF encourages this integration, advocating for proactive action in building internal competencies to avoid being left behind in the development of AI. The Deputy Chairman of VEB.RF, on the other hand, highlights that the jobs most at risk are those held by individuals who lack confidence in their own efficiency and necessity in current and future processes.
These collaborative efforts are not limited to the business sector alone. Projects focused on AI integration are part of the Ministry of Digital Development, and the Director of the "Human Resources Sovereignty" department at the Digital Economy NGO has highlighted the success of projects like "Digital Chairs" and "Digital Lesson" in achieving breakthroughs in AI integration.
Professor of the Skolkovo Center for Artificial Intelligence has expressed caution about the "divinity" of AI, emphasizing the need for sufficient education and knowledge for its effective use. Meanwhile, the Professor's colleagues have proven a theorem that a typical neural network can give an incorrect result with a probability close to one, underscoring the need for rigorous testing and validation in AI development.
Lastly, the Main Managing Partner for AI Development at VEB.RF dismisses the fear of a machine uprising, stating that it will not be caused by everyday household items like vacuum cleaners or microwaves. However, the Deputy Chairman of VEB.RF acknowledges the fear of change regarding AI and its potential impact on jobs.
In conclusion, the role of the state, science, and business in AI development is multifaceted and interdependent. By fostering collaboration, these sectors can drive AI adoption responsibly, address potential risks, and ensure its benefits are reaped by all.
Businesses are continually investing in AI, particularly in the adoption of generative AI, to boost productivity and gain substantial returns on investment. The importance of a thorough data foundation and governance for effective AI deployment is emphasized by companies such as NetApp. (business, finance, technology)
In the realm of education and self-development, there is an increasing need for rigorous AI education and knowledge to ensure its effective use. This need is emphasized by the Skolkovo Center for Artificial Intelligence, as they advocate for understanding the potential risks and limitations of AI, such as the theorem that a typical neural network can give an incorrect result with a high probability. (education-and-self-development)
