Putting AI Research First: A Call for Sustained Funding
In the fast-paced world of artificial intelligence (AI) development, the focus on business innovation has overshadowed the critical need for continuous public funding in basic research. As a researcher in the field, I emphasize the importance of prioritizing AI research to address the complex societal challenges posed by this transformative technology.
The Crucial Role of Research in AI Evolution
The influx of funding into AI businesses has led to remarkable innovations, but it is essential to recognize that the foundation of these advancements lies in rigorous research. Without sustained support for early-stage research, the future landscape of AI may lack the depth and breadth necessary for true progress.
Reflecting on the developments of 2023, notably the rise of generative AI models like ChatGPT, we witnessed the culmination of years of publicly funded research. These breakthroughs, facilitated by collaborations with major tech companies, underscore the symbiotic relationship between research and industry innovation.
Distinguishing Research from Business
AI research delves into the fundamental principles of computation to achieve tasks that mimic human intelligence. It is crucial to understand that AI is not about creating true intelligence but rather developing tools that emulate intelligent behavior. In contrast, AI business models often focus on commercial applications of AI technologies, leveraging advancements for profitability.
The history of AI milestones, from IBM’s Deep Blue to modern language translation services, highlights the evolution of AI applications driven by private investments. However, the sustainability and ethical implications of AI development necessitate a strong foundation in research.
The Imperative of Public Funding
To address pressing challenges such as language-specific AI development, ethical data usage, and legal frameworks for AI applications, sustained public funding is indispensable. While private funding fuels product development, public investment in research is the cornerstone of long-term AI advancement.
In conclusion, the future of AI hinges on a balanced approach that values both business innovation and foundational research. By prioritizing sustained public funding for AI research, we can navigate the complexities of AI development responsibly and ethically.
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This article was written by Marija Slavkovik, Professor and Head of the Department of Information Science and Media Studies at the University of Bergen, Norway.
