The race to develop artificial intelligence (AI) technology is in full swing as tech companies strive to outdo one another. However, not all players have an equal opportunity to participate in this innovation. Bhaskar Roy, the Client Partner for Asia-Pacific at Fractal Analytics, India’s first AI unicorn, sheds light on the key factors driving AI innovation and the uneven advantages some players possess.
Two forces fuel AI innovation: data and powerful GPU chipsets. Roy emphasizes that certain players enjoy an unfair advantage in both these areas. In terms of data, big tech companies hold a significant advantage due to their vast repositories of user data. This data, which is often collected at a fraction of the cost, allows them to build their own AI models without the need to purchase data from other sources.
However, access to data is not the only challenge. The availability of powerful GPU chipsets is also a critical factor, and some geographical locations face disadvantages. Semiconductors, which are essential for AI development, can be monopolized by certain countries through production or through geopolitical measures such as sanctions. For example, the United States has imposed export restrictions on NVIDIA and AMD chips, affecting their availability in countries like China and those in the Middle East.
To promote equitable access to AI innovation, Roy suggests the establishment of data-sharing sandboxes. These sandboxes would anonymize and make data available for the larger public good, ensuring that all players have equal opportunities for AI advancements. Additionally, a global consensus is needed to prevent anti-competitive practices and unjust sanctions. The recent G20 Summit in New Delhi dedicated discussions to the ethical development and regulation of AI, highlighting its significance on the global stage.
By addressing these challenges and fostering collaboration among economies, it is possible to level the playing field and enable fair opportunities for all players in the realm of AI innovation.
What are the main factors driving AI innovation?
The main factors driving AI innovation are data and powerful GPU chipsets.
Which players have an advantage when it comes to AI development?
Big tech companies have an unfair advantage due to their large collections of user data, which they can use to build their AI models without additional costs.
Why do some geographical locations face disadvantages in terms of GPU chipsets?
Certain countries can monopolize the production of semiconductors or restrict their export through sanctions, limiting access to powerful GPU chipsets.
How can equitable access to AI innovation be achieved?
Establishing data-sharing sandboxes where data can be anonymized and made available for the public good is one way to promote fair access. Additionally, a global consensus is necessary to prevent anti-competitive practices and unjust sanctions.
Has AI regulation been discussed at international forums?
AI regulation and ethical use have been discussed at international events such as the G20 Summit, highlighting the importance of addressing these issues on a global scale.