EXCLUSIVE: Unfair Advantage in Artificial Intelligence? Big Tech’s Data Monopoly and GPU Chipset Politics Revealed
Artificial intelligence (AI) is the hot topic in tech right now, and companies are battling it out to be the top innovator in this cutting-edge field. But is the playing field really level? According to Bhaskar Roy, Client Partner for Asia-Pacific at Fractal Analytics, there are some players who have an unfair advantage in AI development.
In a recent interview with Business Today, Roy revealed that there are two key factors driving AI innovation: data and powerful GPU chipsets. And it turns out that some big tech players have a major leg up in both of these areas.
When it comes to data, Roy explained that acquiring it can be a real challenge for newcomers. They have to rely on open sources, purchase data from established corporations, or invest in expensive primary research. Meanwhile, big tech companies have already amassed huge amounts of user data, giving them a major head start.
But the unequal playing field doesn’t stop there. Roy also pointed out that certain geographical locations have an advantage when it comes to GPU chipsets, which are crucial for AI development. Some countries have a monopoly on semiconductor production or are subject to sanctions, making it difficult for others to access these powerful chips.
So, how can we level the playing field?
According to Roy, one solution is the establishment of data-sharing sandboxes. These would allow anonymized data to be made available for the greater good, giving all players an equal chance to develop new AI advancements. In addition, a global consensus is needed to prevent anti-competitive practices and sanctions from hindering progress.
Interestingly, ethical development and regulation of AI were key topics of discussion at the recent G20 Summit in New Delhi. And it seems these issues will also take center stage at the upcoming G20 Brazil.
What do you think about the unfair advantage in AI development? Is it time for more equitable access to data and chipsets? Share your thoughts in the comments below and let’s start a conversation!
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